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Automated Author Profile

Feldman, Jon

Hebrew University of Jerusalem

Current S-Index

8.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.6

Average Dataset Index per dataset

Total Datasets

14

Total datasets for this author

Average FAIR Score

79.7%

Average FAIR Score per dataset

Total Citations

0

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

Additional file 1 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 1. Provides the details for the TNBC models and single cell analyses used in the study.

Authors

  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.213763452022

Additional file 1 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 1. Provides the details for the TNBC models and single cell analyses used in the study.

Authors

  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.21376345.v12022

Additional file 3 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 3. Data file of in vitro experiments in the 4T1 system. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values, G (Giα) values and % of subpopulations out of the entire population.

Authors

  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.213763512022

Additional file 3 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 3. Data file of in vitro experiments in the 4T1 system. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values, G (Giα) values and % of subpopulations out of the entire population.

Authors

  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.21376351.v12022

Additional file 4 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 4. Data file of in vivo experiments in the 4T1 system 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.

Authors

  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.213763542022

Additional file 4 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 4. Data file of in vivo experiments in the 4T1 system 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.

Authors

  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.21376354.v12022

Additional file 5 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 5. Data file of in vivo experiments in the 4T1 system 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.

Authors

  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.213763602022

Additional file 5 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 5. Data file of in vivo experiments in the 4T1 system 12 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.

Authors

  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.21376360.v12022

Additional file 6 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 6. Data file of in vitro experiments in BR45 cells 6 and 14 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.

Authors

  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.213763692022

Additional file 6 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance

Additional file 6. Data file of in vitro experiments in BR45 cells 6 and 14 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.

Authors

  • Alkhatib, Heba ;
  • Rubinstein, Ariel M. ;
  • Vasudevan, Swetha ;
  • Flashner-Abramson, Efrat ;
  • Stefansky, Shira ;
  • Chowdhury, Sangita Roy ;
  • Oguche, Solomon ;
  • Peretz-Yablonsky, Tamar ;
  • Granit, Avital ;
  • Granot, Zvi ;
  • Ben-Porath, Ittai ;
  • Sheva, Kim ;
  • Feldman, Jon ;
  • Cohen, Noa E. ;
  • Meirovitz, Amichay ;
  • Kravchenko-Balasha, Nataly
0 Citations0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.21376369.v12022