Prathyusha Gudapati

19 total papers · 882 total citations
10 papers, 594 citations indexed

About

Prathyusha Gudapati is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Prathyusha Gudapati has authored 10 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Prathyusha Gudapati's work include PI3K/AKT/mTOR signaling in cancer (3 papers), Multiple Myeloma Research and Treatments (2 papers) and Infectious Diseases and Mycology (2 papers). Prathyusha Gudapati is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (3 papers), Multiple Myeloma Research and Treatments (2 papers) and Infectious Diseases and Mycology (2 papers). Prathyusha Gudapati collaborates with scholars based in United States, India and Finland. Prathyusha Gudapati's co-authors include Mark Boothby, Keunwook Lee, Mark A. Magnuson, Srdjan M. Dragovic, Charles T. Spencer, Nigel Killeen, Sebastian Joyce, Sung Hoon Cho, Shreevrat Goenka and Arja Reinikainen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Prathyusha Gudapati

9 papers receiving 585 citations

Author Peers

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

Author Last Decade Papers Cites
Prathyusha Gudapati 384 288 129 51 42 10 594
Aaron McCarty 337 0.9× 292 1.0× 138 1.1× 62 1.2× 42 1.0× 7 683
Christina Lutz‐Nicoladoni 286 0.7× 261 0.9× 197 1.5× 58 1.1× 36 0.9× 14 541
Flavia Bottarel 341 0.9× 183 0.6× 70 0.5× 34 0.7× 51 1.2× 15 579
Steve Eliason 409 1.1× 370 1.3× 119 0.9× 107 2.1× 53 1.3× 10 687
Sara Danielli 297 0.8× 188 0.7× 176 1.4× 64 1.3× 38 0.9× 8 517
André A. F. L. van Puijenbroek 333 0.9× 228 0.8× 175 1.4× 71 1.4× 25 0.6× 12 572
Mario Hubo 341 0.9× 225 0.8× 111 0.9× 73 1.4× 34 0.8× 10 677
Vid Leko 248 0.6× 231 0.8× 282 2.2× 44 0.9× 71 1.7× 11 614
M Buchholz 281 0.7× 237 0.8× 143 1.1× 47 0.9× 31 0.7× 14 520
Leslie Guéry 360 0.9× 181 0.6× 175 1.4× 50 1.0× 18 0.4× 13 569

Countries citing papers authored by Prathyusha Gudapati

Since Specialization
Citations

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

Fields of papers citing papers by Prathyusha Gudapati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prathyusha Gudapati

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