Sangeetha Sukumari‐Ramesh

31 total papers · 1.3k total citations
29 papers, 1.1k citations indexed

About

Sangeetha Sukumari‐Ramesh is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Sangeetha Sukumari‐Ramesh has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 15 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Sangeetha Sukumari‐Ramesh's work include Intracerebral and Subarachnoid Hemorrhage Research (15 papers), Kruppel-like factors research (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Sangeetha Sukumari‐Ramesh is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (15 papers), Kruppel-like factors research (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Sangeetha Sukumari‐Ramesh collaborates with scholars based in United States, Czechia and India. Sangeetha Sukumari‐Ramesh's co-authors include Krishnan M. Dhandapani, Frederick Bonsack, Cargill H. Alleyne, John R. Vender, Melissa D. Laird, N. E. Yanasak, Richard D. Fessler, Patrick Youssef, Steffen E. Meiler and Nagendra Singh and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and Journal of Neurochemistry.

In The Last Decade

Sangeetha Sukumari‐Ramesh

29 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Sangeetha Sukumari‐Ramesh 527 452 265 165 154 29 1.1k
Melissa D. Laird 530 1.0× 484 1.1× 268 1.0× 169 1.0× 140 0.9× 17 1.2k
Chi Gu 553 1.0× 598 1.3× 394 1.5× 243 1.5× 193 1.3× 26 1.4k
Valérie C. Besson 483 0.9× 399 0.9× 308 1.2× 189 1.1× 129 0.8× 40 1.3k
Shenglong Cao 402 0.8× 514 1.1× 273 1.0× 227 1.4× 179 1.2× 27 1.1k
Haiying Li 392 0.7× 304 0.7× 168 0.6× 146 0.9× 97 0.6× 39 924
Weiwei Gao 780 1.5× 295 0.7× 278 1.0× 142 0.9× 198 1.3× 37 1.3k
Jesús Agulla 391 0.7× 192 0.4× 340 1.3× 239 1.4× 113 0.7× 37 1.1k
Gail Marracci 491 0.9× 248 0.5× 142 0.5× 69 0.4× 207 1.3× 30 1.3k
Jean‐Christophe Copin 576 1.1× 370 0.8× 260 1.0× 225 1.4× 75 0.5× 37 1.3k
Huangde Fu 455 0.9× 151 0.3× 252 1.0× 154 0.9× 121 0.8× 19 971

Countries citing papers authored by Sangeetha Sukumari‐Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Sangeetha Sukumari‐Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangeetha Sukumari‐Ramesh. 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 Sangeetha Sukumari‐Ramesh. The network helps show where Sangeetha Sukumari‐Ramesh may publish in the future.

Co-authorship network of co-authors of Sangeetha Sukumari‐Ramesh

This figure shows the co-authorship network connecting the top 25 collaborators of Sangeetha Sukumari‐Ramesh. A scholar is included among the top collaborators of Sangeetha Sukumari‐Ramesh 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 Sangeetha Sukumari‐Ramesh. Sangeetha Sukumari‐Ramesh 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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