Charu Mehta

520 total citations
18 papers, 321 citations indexed

About

Charu Mehta is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Charu Mehta has authored 18 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Cell Biology. Recurrent topics in Charu Mehta's work include Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Zebrafish Biomedical Research Applications (4 papers). Charu Mehta is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Zebrafish Biomedical Research Applications (4 papers). Charu Mehta collaborates with scholars based in United States, United Kingdom and India. Charu Mehta's co-authors include Emery H. Bresnick, Kirby D. Johnson, Kyle J. Hewitt, James J. O’Leary, Sündüz Keleş, Koichi R. Katsumura, Andreas Rosenberg, Erik A. Ranheim, Robert F. Paulson and Skye C McIver and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Charu Mehta

18 papers receiving 312 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Charu Mehta United States 12 209 72 60 53 39 18 321
Bryan John Smith United Kingdom 8 202 1.0× 29 0.4× 32 0.5× 33 0.6× 28 0.7× 13 314
Kevin N. Kirouac Canada 8 359 1.7× 62 0.9× 14 0.2× 47 0.9× 48 1.2× 8 441
Francesca De Santis Italy 10 262 1.3× 36 0.5× 53 0.9× 17 0.3× 30 0.8× 24 342
Yoshiki Sumitomo Japan 7 352 1.7× 59 0.8× 62 1.0× 20 0.4× 31 0.8× 12 451
Julia Herglotz Germany 9 220 1.1× 41 0.6× 112 1.9× 25 0.5× 15 0.4× 9 349
Jianping Lan China 11 282 1.3× 31 0.4× 29 0.5× 80 1.5× 15 0.4× 24 367
Yusuke Tarumoto Japan 10 371 1.8× 34 0.5× 83 1.4× 66 1.2× 20 0.5× 32 468
Lai-Fong Poon Singapore 7 195 0.9× 27 0.4× 105 1.8× 52 1.0× 9 0.2× 8 310
G.J. Albrecht Germany 11 164 0.8× 32 0.4× 34 0.6× 23 0.4× 19 0.5× 18 306
Galia Oberkovitz Israel 6 300 1.4× 57 0.8× 60 1.0× 25 0.5× 8 0.2× 11 379

Countries citing papers authored by Charu Mehta

Since Specialization
Citations

This map shows the geographic impact of Charu Mehta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Charu Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charu Mehta more than expected).

Fields of papers citing papers by Charu Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charu Mehta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Charu Mehta. The network helps show where Charu Mehta may publish in the future.

Co-authorship network of co-authors of Charu Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Charu Mehta. A scholar is included among the top collaborators of Charu Mehta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charu Mehta. Charu Mehta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Katsumura, Koichi R., et al.. (2024). Pathogenic GATA2 genetic variants utilize an obligate enhancer mechanism to distort a multilineage differentiation program. Proceedings of the National Academy of Sciences. 121(10). e2317147121–e2317147121. 2 indexed citations
2.
Mehta, Charu, et al.. (2021). RNA-regulatory exosome complex confers cellular survival to promote erythropoiesis. Nucleic Acids Research. 49(16). 9007–9025. 5 indexed citations
3.
Cai, Xiaoli, Bin Mao, Charu Mehta, et al.. (2020). GATA factor-regulated solute carrier ensemble reveals a nucleoside transporter-dependent differentiation mechanism. PLoS Genetics. 16(12). e1009286–e1009286. 15 indexed citations
4.
Mehta, Charu, et al.. (2020). Post-transcriptional control of cellular differentiation by the RNA exosome complex. Nucleic Acids Research. 48(21). 11913–11928. 23 indexed citations
5.
Soukup, Alexandra A., Ye Zheng, Charu Mehta, et al.. (2019). Single-nucleotide human disease mutation inactivates a blood-regenerative GATA2 enhancer. Journal of Clinical Investigation. 129(3). 1180–1192. 42 indexed citations
6.
Soukup, Alexandra A., Charu Mehta, Peng Liu, et al.. (2018). Single-Nucleotide Human Disease Mutation Inactivates a Blood-Regenerative Enhancer. Blood. 132(Supplement 1). 2564–2564. 1 indexed citations
7.
Katsumura, Koichi R., Charu Mehta, Kyle J. Hewitt, et al.. (2018). Human leukemia mutations corrupt but do not abrogate GATA-2 function. Proceedings of the National Academy of Sciences. 115(43). E10109–E10118. 33 indexed citations
8.
Bresnick, Emery H., Kyle J. Hewitt, Charu Mehta, et al.. (2018). Mechanisms of erythrocyte development and regeneration: implications for regenerative medicine and beyond. Development. 145(1). 45 indexed citations
9.
McIver, Skye C, Kyle J. Hewitt, Xin Gao, et al.. (2017). Dissecting Regulatory Mechanisms Using Mouse Fetal Liver-Derived Erythroid Cells. Methods in molecular biology. 1698. 67–89. 15 indexed citations
10.
Mehta, Charu, Kirby D. Johnson, Xin Gao, et al.. (2017). Integrating Enhancer Mechanisms to Establish a Hierarchical Blood Development Program. Cell Reports. 20(12). 2966–2979. 41 indexed citations
11.
Mehta, Charu, Kirby D. Johnson, Xin Gao, et al.. (2017). Integrating Enhancer Mechanisms to Establish a Hierarchical Blood Development Program. Blood. 130(Suppl_1). 7–7. 1 indexed citations
12.
Erwin, Graham S., Matthew P. Grieshop, Devesh Bhimsaria, et al.. (2016). Synthetic genome readers target clustered binding sites across diverse chromatin states. Proceedings of the National Academy of Sciences. 113(47). E7418–E7427. 16 indexed citations
13.
Azam, Mohammed Afzal, et al.. (2013). Synthesis and biological evaluation of some novel pyrazolopyrimidines incorporating a benzothiazole ring system. Acta Pharmaceutica. 63(1). 19–30. 19 indexed citations
14.
O’Leary, James J., Duaine R. Jackola, Charu Mehta, & Helen M. Hallgren. (1985). Enhancement of mitogen response and surface marker analysis of lymphocytes from yuong and old donors after preliminary incubation in vitro. Mechanisms of Ageing and Development. 29(3). 239–253. 15 indexed citations
15.
Bradley, Margaret K., et al.. (1981). Rapid and sensitive quantitative immunoassay for the large simian virus 40 T antigen. Journal of Virology. 38(2). 612–620. 10 indexed citations
16.
O’Leary, James J., L. Robert Hanrahan, Charu Mehta, & Andreas Rosenberg. (1980). KINETICS OF HUMAN LYMPHOCYTE RESPONSES IN VITRO: DETERMINATION OF CLONE SIZE AND INITIAL RATE OF ENTRY INTO DNA SYNTHESIS. Cell Proliferation. 13(1). 41–51. 14 indexed citations
17.
O’Leary, James J., Charu Mehta, David J. Hall, & Andreas Rosenberg. (1980). QUANTITATION OF [3H]THYMIDINE UPTAKE BY STIMULATED HUMAN LYMPHOCYTES†. Cell Proliferation. 13(1). 21–32. 19 indexed citations
18.
Hanrahan, L. Robert, James J. O’Leary, Charu Mehta, & Andreas Rosenberg. (1980). KINETICS OF HUMAN LYMPHOCYTE RESPONSES IN VITRO: THE PHASE OF EXPONENTIAL GROWTH. Cell Proliferation. 13(1). 33–40. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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