Gina Devasahayam

9 total papers · 487 total citations
7 papers, 392 citations indexed

About

Gina Devasahayam is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Gina Devasahayam has authored 7 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Gina Devasahayam's work include Signaling Pathways in Disease (3 papers), Peptidase Inhibition and Analysis (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Gina Devasahayam is often cited by papers focused on Signaling Pathways in Disease (3 papers), Peptidase Inhibition and Analysis (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Gina Devasahayam collaborates with scholars based in United States, India and Switzerland. Gina Devasahayam's co-authors include Paul S. Hoffman, W. Michael Scheld, Steven D. Hanes, Vishnu Chaturvedi, María E. Cárdenas, Joseph Heitman, Xiaoyun Wu, Miguel Arévalo-Rodrı́guez, Thomas W. Sturgill and Daniel J. Burke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Biochemistry.

In The Last Decade

Gina Devasahayam

7 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Gina Devasahayam	303	92	88	32	31	7	392
Laurence J. Altobell	238 0.8×	46 0.5×	53 0.6×	42 1.3×	26 0.8×	9	353
Tung-Ju Hsieh	280 0.9×	118 1.3×	60 0.7×	22 0.7×	25 0.8×	11	347
Herfita Agustiandari	233 0.8×	31 0.3×	84 1.0×	78 2.4×	63 2.0×	6	403
Renate Kastner	144 0.5×	108 1.2×	31 0.4×	40 1.3×	28 0.9×	10	360
Xinwei Sher	259 0.9×	109 1.2×	46 0.5×	24 0.8×	46 1.5×	9	429
Rachel E. Rigsby	225 0.7×	33 0.4×	37 0.4×	30 0.9×	77 2.5×	5	416
Prabhanshu Tripathi	233 0.8×	26 0.3×	78 0.9×	93 2.9×	50 1.6×	12	391
Anders E. G. Lindgren	158 0.5×	62 0.7×	142 1.6×	80 2.5×	15 0.5×	16	361
Jingdan Hu	156 0.5×	104 1.1×	32 0.4×	120 3.8×	36 1.2×	10	415
Adriaan W. Tuin	211 0.7×	62 0.7×	32 0.4×	89 2.8×	29 0.9×	14	413

Countries citing papers authored by Gina Devasahayam

Since Specialization

Citations

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

Fields of papers citing papers by Gina Devasahayam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina Devasahayam

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