Ajit Shah

1.0k total citations · 1 hit paper
11 papers, 759 citations indexed

About

Ajit Shah is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Ajit Shah has authored 11 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Genetics. Recurrent topics in Ajit Shah's work include RNA modifications and cancer (3 papers), Pancreatic function and diabetes (3 papers) and Mitochondrial Function and Pathology (2 papers). Ajit Shah is often cited by papers focused on RNA modifications and cancer (3 papers), Pancreatic function and diabetes (3 papers) and Mitochondrial Function and Pathology (2 papers). Ajit Shah collaborates with scholars based in United States, Italy and Germany. Ajit Shah's co-authors include Zhang Li, Jagmohan Hooda, Anil Bhushan, Peter J. Thompson, Frédéric Van Gool, Vasilis Ntranos, Mark A. Atkinson, Daniela Cadinu, R. Michael Henke and Md Maksudul Alam and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Ajit Shah

11 papers receiving 754 citations

Hit Papers

Targeted Elimination of Senescent Beta Cells Prevents Typ... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajit Shah United States 10 348 227 172 164 102 11 759
Emili Cid Spain 11 240 0.7× 104 0.5× 117 0.7× 132 0.8× 58 0.6× 21 588
Nikki Mandir United Kingdom 15 324 0.9× 142 0.6× 174 1.0× 87 0.5× 65 0.6× 30 860
C. Egerer-Sieber Germany 11 563 1.6× 144 0.6× 47 0.3× 86 0.5× 92 0.9× 16 878
Z Yang United States 15 388 1.1× 225 1.0× 271 1.6× 54 0.3× 111 1.1× 25 855
Dena R. Yver United States 7 535 1.5× 198 0.9× 54 0.3× 200 1.2× 35 0.3× 8 769
Angela McDonald United Kingdom 12 493 1.4× 310 1.4× 155 0.9× 62 0.4× 153 1.5× 16 756
Yubin Guo China 12 315 0.9× 158 0.7× 121 0.7× 105 0.6× 186 1.8× 20 653
Dieter Rondas Belgium 15 316 0.9× 300 1.3× 206 1.2× 51 0.3× 145 1.4× 18 739
So‐Youn Kim United States 17 437 1.3× 175 0.8× 110 0.6× 128 0.8× 86 0.8× 34 904
Susmita Chakrabarti United States 16 529 1.5× 92 0.4× 118 0.7× 40 0.2× 49 0.5× 20 891

Countries citing papers authored by Ajit Shah

Since Specialization
Citations

This map shows the geographic impact of Ajit Shah'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 Ajit Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Shah more than expected).

Fields of papers citing papers by Ajit Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajit Shah. 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 Ajit Shah. The network helps show where Ajit Shah may publish in the future.

Co-authorship network of co-authors of Ajit Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Shah. A scholar is included among the top collaborators of Ajit Shah 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 Ajit Shah. Ajit Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Thompson, Peter J., Yao Wang, Ram P. Naikawadi, et al.. (2021). Invariant natural killer T cells coordinate removal of senescent cells. Med. 2(8). 938–950.e8. 49 indexed citations
2.
Tran, Stella, Ajit Shah, Gao Sun, et al.. (2019). mTORC1-to-AMPK switching underlies β cell metabolic plasticity during maturation and diabetes. Journal of Clinical Investigation. 129(10). 4124–4137. 93 indexed citations
3.
Thompson, Peter J., Ajit Shah, Vasilis Ntranos, et al.. (2019). Targeted Elimination of Senescent Beta Cells Prevents Type 1 Diabetes. Cell Metabolism. 29(5). 1045–1060.e10. 248 indexed citations breakdown →
4.
Thompson, Peter J., et al.. (2019). BET Proteins Are Required for Transcriptional Activation of the Senescent Islet Cell Secretome in Type 1 Diabetes. International Journal of Molecular Sciences. 20(19). 4776–4776. 28 indexed citations
5.
Shah, Ajit, et al.. (2017). Heme promotes transcriptional and demethylase activities of Gis1, a member of the histone demethylase JMJD2/KDM4 family. Nucleic Acids Research. 46(1). 215–228. 13 indexed citations
6.
Alam, Md Maksudul, et al.. (2016). The Swi3 protein plays a unique role in regulating respiration in eukaryotes. Bioscience Reports. 36(3). 3 indexed citations
7.
Hooda, Jagmohan, Ajit Shah, & Zhang Li. (2014). Heme, an Essential Nutrient from Dietary Proteins, Critically Impacts Diverse Physiological and Pathological Processes. Nutrients. 6(3). 1080–1102. 156 indexed citations
8.
Hooda, Jagmohan, Daniela Cadinu, Md Maksudul Alam, et al.. (2013). Enhanced Heme Function and Mitochondrial Respiration Promote the Progression of Lung Cancer Cells. PLoS ONE. 8(5). e63402–e63402. 90 indexed citations
9.
Hooda, Jagmohan, et al.. (2012). The nuclear localization of SWI/SNF proteins is subjected to oxygen regulation. Cell & Bioscience. 2(1). 30–30. 45 indexed citations
10.
Shah, Ajit, et al.. (2011). Deletion of a subgroup of ribosome-related genes minimizes hypoxia-induced changes and confers hypoxia tolerance. Physiological Genomics. 43(14). 855–872. 11 indexed citations
11.
Henke, R. Michael, Ajit Shah, Daniela Cadinu, et al.. (2011). Hypoxia elicits broad and systematic changes in protein subcellular localization. American Journal of Physiology-Cell Physiology. 301(4). C913–C928. 23 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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