Automated Author Profile

Liu, Yanqing

Current S-Index

27.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

50

Total datasets for this author

Average FAIR Score

50.3%

Average FAIR Score per dataset

Total Citations

37

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

CCDC 2482803: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Li, Teng ;
  • Yang, Can ;
  • Tang, Haitao ;
  • Liu, Xiaojie ;
  • Liu, Yanqing ;
  • Wang, Shenghao ;
  • Xing, Guangzong ;
  • Lin, Qianqian ;
  • Wu, Qi ;
  • Dang, Yangyang
1 Citation0 Mentions54% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2pbkf12026

CCDC 2482804: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Li, Teng ;
  • Yang, Can ;
  • Tang, Haitao ;
  • Liu, Xiaojie ;
  • Liu, Yanqing ;
  • Wang, Shenghao ;
  • Xing, Guangzong ;
  • Lin, Qianqian ;
  • Wu, Qi ;
  • Dang, Yangyang
1 Citation0 Mentions54% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2pbkg22026

CCDC 2497621: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Sang, Mengjie ;
  • Liu, Yanqing ;
  • Liu, Guokui ;
  • Dang, Yangyang
1 Citation0 Mentions54% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2ptzfy2025

CCDC 2497620: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Sang, Mengjie ;
  • Liu, Yanqing ;
  • Liu, Guokui ;
  • Dang, Yangyang
1 Citation0 Mentions54% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2ptzdx2025

Clean Supplementary Material

Longer and more detailed description of this file

Authors

  • Cui, Guonan ;
  • Yang, Yanchun ;
  • Bai, Lulu ;
  • Liu, Yanqing ;
  • Gong, Zhihui ;
  • Sun, Yuze ;
  • Wang, Xu ;
  • Bao, Junjie ;
  • Li, Shuyu ;
  • Zhu, Chengjun
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.60893/figshare.apl.306948352025

Platelet transfusion response in critically ill patients with thrombocytopenia: a retrospective study and predictive nomogram in a general ICU population

Although suboptimal platelet transfusion (PT) response in critically ill patients with thrombocytopenia remains a challenge in clinical practice. This study aimed to investigate PT response during intensive care unit (ICU) stay among thrombocytopenic patients without underlying hematologic disease. This retrospective single-center analysis included thrombocytopenic patients without primary hematologic disorders who received PT in ICU between June 2021 and December 2023. Clinical and laboratory variables were analyzed using a generalized linear mixed-effects model (GLMM), with the results visualized through a nomogram. The 28-day survival curves, stratified by receiving single or multiple PT episodes, were established using the Kaplan–Meier method. Suboptimal PT response was observed in 522 episodes (77.9%, 522/670) and in 291 patients (79.9%, 291/364). The GLMM identified sepsis, splenomegaly, mechanical ventilation, higher APACHE II score, and longer time interval of post-PT platelet count as independent predictors of suboptimal response, while higher white blood cell count at ICU admission and the PT episode number in ICU were independently protective. A nomogram based on these seven variables demonstrated good predictive performance. Suboptimal PT episodes were associated with higher red blood cell and fresh frozen plasma requirements. The 28-day survival probability was significantly higher in the single transfusion group with optimal response versus the suboptimal response. Repeat PT may enhance the PT response and survival. Suboptimal PT response was associated with increased RBC and FFP transfusion requirements. The established nomogram demonstrated strong predictive accuracy and may provide a practical tool for optimizing PT practices in the ICU.

Authors

  • Ge, Hanyu ;
  • Liu, Yanqing ;
  • Li, Tongyu ;
  • Lv, Rui ;
  • Wang, Jieyi ;
  • You, Wei ;
  • Song, Danni ;
  • Hu, Shilin ;
  • Zhao, Feng ;
  • Fan, Heng ;
  • Lv, Dingfeng
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.29446498.v12025

Platelet transfusion response in critically ill patients with thrombocytopenia: a retrospective study and predictive nomogram in a general ICU population

Although suboptimal platelet transfusion (PT) response in critically ill patients with thrombocytopenia remains a challenge in clinical practice. This study aimed to investigate PT response during intensive care unit (ICU) stay among thrombocytopenic patients without underlying hematologic disease. This retrospective single-center analysis included thrombocytopenic patients without primary hematologic disorders who received PT in ICU between June 2021 and December 2023. Clinical and laboratory variables were analyzed using a generalized linear mixed-effects model (GLMM), with the results visualized through a nomogram. The 28-day survival curves, stratified by receiving single or multiple PT episodes, were established using the Kaplan–Meier method. Suboptimal PT response was observed in 522 episodes (77.9%, 522/670) and in 291 patients (79.9%, 291/364). The GLMM identified sepsis, splenomegaly, mechanical ventilation, higher APACHE II score, and longer time interval of post-PT platelet count as independent predictors of suboptimal response, while higher white blood cell count at ICU admission and the PT episode number in ICU were independently protective. A nomogram based on these seven variables demonstrated good predictive performance. Suboptimal PT episodes were associated with higher red blood cell and fresh frozen plasma requirements. The 28-day survival probability was significantly higher in the single transfusion group with optimal response versus the suboptimal response. Repeat PT may enhance the PT response and survival. Suboptimal PT response was associated with increased RBC and FFP transfusion requirements. The established nomogram demonstrated strong predictive accuracy and may provide a practical tool for optimizing PT practices in the ICU.

Authors

  • Ge, Hanyu ;
  • Liu, Yanqing ;
  • Li, Tongyu ;
  • Lv, Rui ;
  • Wang, Jieyi ;
  • You, Wei ;
  • Song, Danni ;
  • Hu, Shilin ;
  • Zhao, Feng ;
  • Fan, Heng ;
  • Lv, Dingfeng
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.294464982025

CCDC 2433486: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Liu, Yanqing ;
  • Tang, Haitao ;
  • Sang, Mengjie ;
  • Li, Teng ;
  • Liu, Guokui ;
  • Meng, Lingqiang ;
  • Lin, Qianqian ;
  • Dang, Yangyang
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2mp7k42025

Clean Supplementary Material (Version: 1)

Longer and more detailed description of this file

Authors

  • Cui, Guonan ;
  • Yang, Yanchun ;
  • Bai, Lulu ;
  • Liu, Yanqing ;
  • Gong, Zhihui ;
  • Sun, Yuze ;
  • Wang, Xu ;
  • Bao, Junjie ;
  • Li, Shuyu ;
  • Zhu, Chengjun
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.60893/figshare.apl.30694835.v12025

CCDC 2418220: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Li, Teng ;
  • Wang, Yue ;
  • Liu, Yanqing ;
  • Liu, Guokui ;
  • Meng, Lingqiang ;
  • Zheng, Yongshen ;
  • Dang, Yangyang
1 Citation0 Mentions50% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc2m5c392025