Ruma A. Pengal

8 total papers · 457 total citations
7 papers, 390 citations indexed

About

Ruma A. Pengal is a scholar working on Molecular Biology, Nephrology and Immunology. According to data from OpenAlex, Ruma A. Pengal has authored 7 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Nephrology and 2 papers in Immunology. Recurrent topics in Ruma A. Pengal's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Renal Diseases and Glomerulopathies (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Ruma A. Pengal is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Renal Diseases and Glomerulopathies (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Ruma A. Pengal collaborates with scholars based in United States, China and Germany. Ruma A. Pengal's co-authors include Susheela Tridandapani, Latha P. Ganesan, Huiqing Fang, Michael C. Ostrowski, Clay B. Marsh, Wei Guo, Xianhua Cao, Mark D. Wewers, Leni Moldovan and Clark L. Anderson and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ruma A. Pengal

7 papers receiving 387 citations

Author Peers

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

Author Last Decade Papers Cites
Ruma A. Pengal 187 174 49 45 40 7 390
K. Hefter 113 0.6× 156 0.9× 36 0.7× 36 0.8× 21 0.5× 9 373
J.P. Waters 139 0.7× 124 0.7× 71 1.4× 42 0.9× 67 1.7× 7 356
Pamela J. Fisher 136 0.7× 169 1.0× 46 0.9× 32 0.7× 39 1.0× 11 422
Zayda L. Piedra-Quintero 132 0.7× 148 0.9× 54 1.1× 35 0.8× 20 0.5× 9 366
Vernon Seow 172 0.9× 128 0.7× 35 0.7× 77 1.7× 13 0.3× 7 426
Karine Rutault 209 1.1× 177 1.0× 62 1.3× 34 0.8× 58 1.4× 8 439
Marjory Desmedt 226 1.2× 149 0.9× 57 1.2× 61 1.4× 39 1.0× 9 409
Alona A. Merkulova 144 0.8× 138 0.8× 27 0.6× 35 0.8× 46 1.1× 5 358
Hannah L.H. Green 176 0.9× 132 0.8× 57 1.2× 36 0.8× 25 0.6× 7 399
Swarna Lekha Vijayaraj 118 0.6× 213 1.2× 33 0.7× 36 0.8× 26 0.7× 6 373

Countries citing papers authored by Ruma A. Pengal

Since Specialization
Citations

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

Fields of papers citing papers by Ruma A. Pengal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruma A. Pengal. 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 Ruma A. Pengal. The network helps show where Ruma A. Pengal may publish in the future.

Co-authorship network of co-authors of Ruma A. Pengal

This figure shows the co-authorship network connecting the top 25 collaborators of Ruma A. Pengal. A scholar is included among the top collaborators of Ruma A. Pengal 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 Ruma A. Pengal. Ruma A. Pengal 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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