Rekha Raghunathan

45 total papers · 599 total citations
16 papers, 450 citations indexed

About

Rekha Raghunathan is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Rekha Raghunathan has authored 16 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Neurology. Recurrent topics in Rekha Raghunathan's work include Glycosylation and Glycoproteins Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Immunotherapy and Immune Responses (3 papers). Rekha Raghunathan is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Immunotherapy and Immune Responses (3 papers). Rekha Raghunathan collaborates with scholars based in United States, India and South Korea. Rekha Raghunathan's co-authors include Joseph Zaia, Manveen K. Sethi, Swetha Mahesula, Li Chin Wong, Joshua Klein, John D. Hogan, Erzsebet Kokovay, Richard H. Myers, Rene Solano Fonseca and Adam Labadorf and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Investigative Dermatology.

In The Last Decade

Rekha Raghunathan

16 papers receiving 437 citations

Author Peers

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

Author Last Decade Papers Cites
Rekha Raghunathan 227 82 61 60 56 16 450
Nina Bauer 277 1.2× 85 1.0× 68 1.1× 43 0.7× 62 1.1× 15 542
Jonathan Nakashima 251 1.1× 40 0.5× 37 0.6× 80 1.3× 48 0.9× 11 458
Chandresh R. Gajera 262 1.2× 70 0.9× 38 0.6× 43 0.7× 36 0.6× 18 516
Israel Ben‐Dor 303 1.3× 31 0.4× 47 0.8× 87 1.4× 59 1.1× 9 469
Andréia Vasconcelos-dos-Santos 298 1.3× 41 0.5× 27 0.4× 31 0.5× 44 0.8× 14 469
Sabine Blass-Kampmann 218 1.0× 75 0.9× 68 1.1× 54 0.9× 102 1.8× 13 435
J Ogata 287 1.3× 44 0.5× 39 0.6× 34 0.6× 34 0.6× 22 510
Kim Lemmens 169 0.7× 79 1.0× 87 1.4× 34 0.6× 65 1.2× 19 512
Gernot Neumayer 302 1.3× 171 2.1× 81 1.3× 19 0.3× 61 1.1× 13 502
Hailian Shen 227 1.0× 46 0.6× 57 0.9× 25 0.4× 55 1.0× 19 412

Countries citing papers authored by Rekha Raghunathan

Since Specialization
Citations

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

Fields of papers citing papers by Rekha Raghunathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rekha Raghunathan

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