Jayagopi Surendar

40 total papers · 1.2k total citations
33 papers, 945 citations indexed

About

Jayagopi Surendar is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Jayagopi Surendar has authored 33 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 9 papers in Immunology and 7 papers in Infectious Diseases. Recurrent topics in Jayagopi Surendar's work include Adipokines, Inflammation, and Metabolic Diseases (13 papers), Parasitic Diseases Research and Treatment (6 papers) and Parasites and Host Interactions (6 papers). Jayagopi Surendar is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (13 papers), Parasitic Diseases Research and Treatment (6 papers) and Parasites and Host Interactions (6 papers). Jayagopi Surendar collaborates with scholars based in India, Germany and United States. Jayagopi Surendar's co-authors include Viswanathan Mohan, Karunakaran Indulekha, Vivekanandhan Aravindhan, Rajendra Pradeepa, Christoph Wilhelm, Subash Babu, Achim Hoerauf, Marc P. Hübner, Vanessa Schmitt and Fotios Karagiannis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and PLoS ONE.

In The Last Decade

Jayagopi Surendar

30 papers receiving 926 citations

Author Peers

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

Author Last Decade Papers Cites
Jayagopi Surendar 322 268 222 163 140 33 945
Vivekanandhan Aravindhan 276 0.9× 381 1.4× 93 0.4× 107 0.7× 126 0.9× 54 1.1k
Eduardo Grunvald 377 1.2× 344 1.3× 141 0.6× 327 2.0× 99 0.7× 31 1.0k
G Friman 168 0.5× 186 0.7× 89 0.4× 145 0.9× 77 0.6× 52 1.2k
M. Wilders‐Truschnig 226 0.7× 209 0.8× 141 0.6× 28 0.2× 154 1.1× 40 955
Rodolfo C. Garcia 121 0.4× 348 1.3× 284 1.3× 59 0.4× 144 1.0× 30 1.2k
Maria E. Moreno‐Fernandez 431 1.3× 545 2.0× 125 0.6× 31 0.2× 84 0.6× 38 1.1k
F. F. Fenech 153 0.5× 109 0.4× 177 0.8× 39 0.2× 98 0.7× 26 824
Robert Hageman 213 0.7× 410 1.5× 227 1.0× 61 0.4× 53 0.4× 20 1.1k
Tatiani Uceli Maioli 311 1.0× 273 1.0× 298 1.3× 30 0.2× 57 0.4× 48 1.2k
Kerry Mills 331 1.0× 108 0.4× 203 0.9× 33 0.2× 144 1.0× 28 987

Countries citing papers authored by Jayagopi Surendar

Since Specialization
Citations

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

Fields of papers citing papers by Jayagopi Surendar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayagopi Surendar

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