Ajit Shah

16 total papers · 1.0k total citations
11 papers, 754 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 754 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 Ubiquitin and proteasome pathways (2 papers). Ajit Shah is often cited by papers focused on RNA modifications and cancer (3 papers), Pancreatic function and diabetes (3 papers) and Ubiquitin and proteasome pathways (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 Rolf A. Brekken 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 749 citations

Hit Papers

Targeted Elimination of S... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ajit Shah 346 227 171 163 103 11 754
J A Cortner 284 0.8× 201 0.9× 115 0.7× 183 1.1× 229 2.2× 16 837
Mikaela Granvik 396 1.1× 415 1.8× 290 1.7× 73 0.4× 170 1.7× 11 816
Young‐Ki Paik 377 1.1× 184 0.8× 66 0.4× 117 0.7× 133 1.3× 17 710
Kimi S. Hatton 538 1.6× 166 0.7× 137 0.8× 158 1.0× 62 0.6× 8 768
Charles Rouiller 242 0.7× 252 1.1× 108 0.6× 110 0.7× 124 1.2× 15 794
D. Citadelle 393 1.1× 324 1.4× 116 0.7× 102 0.6× 120 1.2× 17 846
Beth A. Strifler 655 1.9× 68 0.3× 111 0.6× 85 0.5× 73 0.7× 10 894
Barbara J. Dyce 251 0.7× 244 1.1× 68 0.4× 59 0.4× 50 0.5× 18 805
Johan Saldeen 384 1.1× 422 1.9× 261 1.5× 97 0.6× 161 1.6× 21 847
Annemieke IJpenberg 683 2.0× 105 0.5× 135 0.8× 187 1.1× 34 0.3× 8 895

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

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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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