Sumathi Shanmugam

23 total papers · 760 total citations
14 papers, 565 citations indexed

About

Sumathi Shanmugam is a scholar working on Ophthalmology, Molecular Biology and Neurology. According to data from OpenAlex, Sumathi Shanmugam has authored 14 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ophthalmology, 7 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Sumathi Shanmugam's work include Retinal Diseases and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Retinal Development and Disorders (4 papers). Sumathi Shanmugam is often cited by papers focused on Retinal Diseases and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Retinal Development and Disorders (4 papers). Sumathi Shanmugam collaborates with scholars based in United States, Switzerland and China. Sumathi Shanmugam's co-authors include Steven F. Abcouwer, David A. Antonetti, Arivalagan Muthusamy, Arati Sharma, Mitchell Cheung, Gavin P. Robertson, Alistair J. Barber, Cheng-Mao Lin, Dejuan Kong and Cheng‐mao Lin and has published in prestigious journals such as Journal of Cerebral Blood Flow & Metabolism, Investigative Ophthalmology & Visual Science and Journal of Neuroinflammation.

In The Last Decade

Sumathi Shanmugam

13 papers receiving 560 citations

Author Peers

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

Author Last Decade Papers Cites
Sumathi Shanmugam 318 195 157 91 80 14 565
Amit K. Patel 326 1.0× 166 0.9× 86 0.5× 44 0.5× 85 1.1× 19 593
Yalan Wu 287 0.9× 200 1.0× 56 0.4× 178 2.0× 133 1.7× 10 628
Gaëlle Mawambo 350 1.1× 231 1.2× 103 0.7× 30 0.3× 116 1.4× 11 663
Shuo Huang 301 0.9× 148 0.8× 58 0.4× 35 0.4× 35 0.4× 20 515
E. Aaron Runkle 347 1.1× 79 0.4× 130 0.8× 78 0.9× 54 0.7× 10 598
Tracy S. Obertone 351 1.1× 75 0.4× 59 0.4× 49 0.5× 85 1.1× 18 658
Karen Duong‐Polk 381 1.2× 295 1.5× 76 0.5× 24 0.3× 27 0.3× 16 598
Shuhua Fu 308 1.0× 277 1.4× 70 0.4× 21 0.2× 56 0.7× 15 530
Hyoung Oh Jun 299 0.9× 170 0.9× 36 0.2× 96 1.1× 45 0.6× 19 498
Alexander Aslanidis 272 0.9× 246 1.3× 267 1.7× 32 0.4× 159 2.0× 14 623

Countries citing papers authored by Sumathi Shanmugam

Since Specialization
Citations

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

Fields of papers citing papers by Sumathi Shanmugam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumathi Shanmugam

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