Automated Author ProfileLi, Na
Li, Na
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 43.3 (sum of 47 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This research tested eight hypotheses: H1:Perceived instructional support positively influences students' task performance in this context; H2: Perceived optimal challenge is positively associated with task performance in this context. H3:Perceived feedback is positively associated with task performance in this context. H4: Perceived relevance is positively associated with task performance in this context. H5: Flow state mediates the positive relationship between perceived instructional support and task performance. H6: Flow state mediates the positive relationship between perceived challenge and task performance.H7: Flow state mediates the positive relationship between perceived feedback and task performance . H8: Flow state mediates the positive relationship between perceived relevance and task performance. The excel file named "Engineering GBL Data" contains students’ self-reported feedback on their experience, flow state, and task performance after participating in the gamified bridge engineering course. For more details about the conceptual model, please read the research paper.
Authors
- Xu, Zhe ;
- Kim, Jinhee ;
- Yang, Guang ;
- li, na ;
- Clarke , Kathryn ;
- Zhao, Shiyu ;
- Zhang, Tao
This research tested eight hypotheses: H1:Perceived instructional support positively influences students' task performance in this context; H2: Perceived optimal challenge is positively associated with task performance in this context. H3:Perceived feedback is positively associated with task performance in this context. H4: Perceived relevance is positively associated with task performance in this context. H5: Flow state mediates the positive relationship between perceived instructional support and task performance. H6: Flow state mediates the positive relationship between perceived challenge and task performance.H7: Flow state mediates the positive relationship between perceived feedback and task performance . H8: Flow state mediates the positive relationship between perceived relevance and task performance. The excel file named "Engineering GBL Data" contains students’ self-reported feedback on their experience, flow state, and task performance after participating in the gamified bridge engineering course. For more details about the conceptual model, please read the research paper.
Authors
- Xu, Zhe ;
- Kim, Jinhee ;
- Yang, Guang ;
- li, na ;
- Clarke , Kathryn ;
- Zhao, Shiyu ;
- Zhang, Tao
This dataset contains the numerical data underlying all figures and tables presented in the manuscript titled “Evaluating shallow-water carbonates as archives for seawater zinc isotope compositions: implications for palaeoceanographic studies.” This dataset includes both newly generated data from the South China Sea and compiled previously published δ⁶⁶Zn values of various materials. All external data were extracted from peer-reviewed articles and are accompanied by proper citations. No proprietary or unpublished data are included.
Authors
- Zhang, Chengyu ;
- Cao, Mengchun ;
- Li, Na
This dataset contains the numerical data underlying all figures and tables presented in the manuscript titled “Evaluating shallow-water carbonates as archives for seawater zinc isotope compositions: implications for palaeoceanographic studies.” This dataset includes both newly generated data from the South China Sea and compiled previously published δ⁶⁶Zn values of various materials. All external data were extracted from peer-reviewed articles and are accompanied by proper citations. No proprietary or unpublished data are included.
Authors
- Zhang, Chengyu ;
- Cao, Mengchun ;
- Li, Na
Research HypothesisThis study tests the hypothesis that BVDV directly impairs male reproductive function by infecting spermatogonial stem cells (SSCs), disrupting proliferation/self-renewal pathways, and inducing novel cell death mechanisms (e.g., ferroptosis). We further hypothesize that CD46 serves as a key receptor facilitating BVDV entry into SSCs.Data OverviewThis dataset comprises experimental results from in vitro BVDV infection of bovine and caprine SSCs, including:Viral replication kinetics (qPCR, TCID₅₀ assays)Gene/protein expression (RNA-seq/qRT-PCR data; Western blots for PCNA, CCND1, CDK2, Lin28A, OCT4, SOX2)Ferroptosis markers (Lipid ROS assays, iron quantification, GPX4 expression)Cell viability/proliferation (CCK-8)Significance StatementThis dataset provides the first evidence that BVDV directly targets SSCs, causing ferroptosis and transcriptional dysregulation of fertility genes. CD46 editing data validate a strategy for generating BVDV-resistant livestock. Data reuse can accelerate antiviral therapy development and precision breeding programs.
Authors
- Li, Jiannan ;
- Li, Xueting ;
- Li, Xiao ;
- Xu, Wenjie ;
- Yuan, Liming ;
- Shi, Hongzhao ;
- Lei, Zuo ;
- Li, Na ;
- Wei, Yulei ;
- Hua, Jinlian
Research HypothesisThis study tests the hypothesis that BVDV directly impairs male reproductive function by infecting spermatogonial stem cells (SSCs), disrupting proliferation/self-renewal pathways, and inducing novel cell death mechanisms (e.g., ferroptosis). We further hypothesize that CD46 serves as a key receptor facilitating BVDV entry into SSCs.Data OverviewThis dataset comprises experimental results from in vitro BVDV infection of bovine and caprine SSCs, including:Viral replication kinetics (qPCR, TCID₅₀ assays)Gene/protein expression (RNA-seq/qRT-PCR data; Western blots for PCNA, CCND1, CDK2, Lin28A, OCT4, SOX2)Ferroptosis markers (Lipid ROS assays, iron quantification, GPX4 expression)Cell viability/proliferation (CCK-8)Significance StatementThis dataset provides the first evidence that BVDV directly targets SSCs, causing ferroptosis and transcriptional dysregulation of fertility genes. CD46 editing data validate a strategy for generating BVDV-resistant livestock. Data reuse can accelerate antiviral therapy development and precision breeding programs.
Authors
- Li, Jiannan ;
- Li, Xueting ;
- Li, Xiao ;
- Xu, Wenjie ;
- Yuan, Liming ;
- Shi, Hongzhao ;
- Lei, Zuo ;
- Li, Na ;
- Wei, Yulei ;
- Hua, Jinlian
Research HypothesisThis study tests the hypothesis that BVDV directly impairs male reproductive function by infecting spermatogonial stem cells (SSCs), disrupting proliferation/self-renewal pathways, and inducing novel cell death mechanisms (e.g., ferroptosis). We further hypothesize that CD46 serves as a key receptor facilitating BVDV entry into SSCs.Data OverviewThis dataset comprises experimental results from in vitro BVDV infection of bovine and caprine SSCs, including:Viral replication kinetics (qPCR, TCID₅₀ assays)Gene/protein expression (RNA-seq/qRT-PCR data; Western blots for PCNA, CCND1, CDK2, Lin28A, OCT4, SOX2)Ferroptosis markers (Lipid ROS assays, iron quantification, GPX4 expression)Cell viability/proliferation (CCK-8)Significance StatementThis dataset provides the first evidence that BVDV directly targets SSCs, causing ferroptosis and transcriptional dysregulation of fertility genes. CD46 editing data validate a strategy for generating BVDV-resistant livestock. Data reuse can accelerate antiviral therapy development and precision breeding programs.
Authors
- Li, Jiannan ;
- Li, Xueting ;
- Li, Xiao ;
- Xu, Wenjie ;
- Yuan, Liming ;
- Shi, Hongzhao ;
- Lei, Zuo ;
- Li, Na ;
- Wei, Yulei ;
- Hua, Jinlian
Research HypothesisThis study tests the hypothesis that BVDV directly impairs male reproductive function by infecting spermatogonial stem cells (SSCs), disrupting proliferation/self-renewal pathways, and inducing novel cell death mechanisms (e.g., ferroptosis). We further hypothesize that CD46 serves as a key receptor facilitating BVDV entry into SSCs.Data OverviewThis dataset comprises experimental results from in vitro BVDV infection of bovine and caprine SSCs, including:Viral replication kinetics (qPCR, TCID₅₀ assays)Gene/protein expression (RNA-seq/qRT-PCR data; Western blots for PCNA, CCND1, CDK2, Lin28A, OCT4, SOX2)Ferroptosis markers (Lipid ROS assays, iron quantification, GPX4 expression)Cell viability/proliferation (CCK-8)Significance StatementThis dataset provides the first evidence that BVDV directly targets SSCs, causing ferroptosis and transcriptional dysregulation of fertility genes. CD46 editing data validate a strategy for generating BVDV-resistant livestock. Data reuse can accelerate antiviral therapy development and precision breeding programs.
Authors
- Li, Jiannan ;
- Li, Xueting ;
- Li, Xiao ;
- Xu, Wenjie ;
- Yuan, Liming ;
- Shi, Hongzhao ;
- Lei, Zuo ;
- Li, Na ;
- Wei, Yulei ;
- Hua, Jinlian
Meteor wind radar is operating at Kunming (25.6°N, 103.8°E) since January 2008. This data set represents monthly mean zonal and meridional diurnal tides from 2008 to 2022.
Authors
- Wang, Jianyuan ;
- Li, Na ;
- Ding, Zonghua
Meteor wind radar is operating at Kunming (25.6°N, 103.8°E) since January 2008. This data set represents monthly mean zonal and meridional diurnal tides from 2008 to 2022.
Authors
- Wang, Jianyuan ;
- Li, Na ;
- Ding, Zonghua