Shanmuga Subbiah

31 total papers · 423 total citations
22 papers, 314 citations indexed

About

Shanmuga Subbiah is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shanmuga Subbiah has authored 22 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 7 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shanmuga Subbiah's work include Lung Cancer Research Studies (6 papers), Lung Cancer Treatments and Mutations (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). Shanmuga Subbiah is often cited by papers focused on Lung Cancer Research Studies (6 papers), Lung Cancer Treatments and Mutations (5 papers) and Neuroendocrine Tumor Research Advances (4 papers). Shanmuga Subbiah collaborates with scholars based in United States. Shanmuga Subbiah's co-authors include Ramya Thota, Apar Kishor Ganti, Peter T. Silberstein, Wilson I. Gonsalves, Xiang Fang, Tsewang Tashi, Ibrahim Aldoss, Fausto R. Loberiza, Anne Kessinger and Jairam Krishnamurthy and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Kidney Diseases and Medicine.

In The Last Decade

Shanmuga Subbiah

20 papers receiving 308 citations

Author Peers

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

Author Last Decade Papers Cites
Shanmuga Subbiah 198 87 72 71 47 22 314
Melanie Kripp 159 0.8× 100 1.1× 140 1.9× 60 0.8× 36 0.8× 24 319
Iben Holten 187 0.9× 78 0.9× 57 0.8× 25 0.4× 21 0.4× 18 332
Marc De Man 177 0.9× 73 0.8× 124 1.7× 70 1.0× 34 0.7× 28 319
M. R. Cooper 151 0.8× 84 1.0× 31 0.4× 33 0.5× 36 0.8× 27 317
Shiyam Kumar 172 0.9× 74 0.9× 47 0.7× 36 0.5× 17 0.4× 39 335
Kimberly A. Herget 127 0.6× 53 0.6× 31 0.4× 37 0.5× 25 0.5× 23 290
Ryan Huey 210 1.1× 57 0.7× 53 0.7× 40 0.6× 16 0.3× 37 337
Terrah J. Paul Olson 111 0.6× 47 0.5× 141 2.0× 79 1.1× 23 0.5× 18 320
Liang G. Qu 121 0.6× 60 0.7× 52 0.7× 34 0.5× 26 0.6× 32 321
Lisa M. Moy 157 0.8× 83 1.0× 32 0.4× 29 0.4× 26 0.6× 18 325

Countries citing papers authored by Shanmuga Subbiah

Since Specialization
Citations

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

Fields of papers citing papers by Shanmuga Subbiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanmuga Subbiah

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