Ramesh Mavathur

31 total papers · 657 total citations
22 papers, 461 citations indexed

About

Ramesh Mavathur is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics. According to data from OpenAlex, Ramesh Mavathur has authored 22 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Physiology and 6 papers in Genetics. Recurrent topics in Ramesh Mavathur's work include Diabetes Management and Research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Adipose Tissue and Metabolism (3 papers). Ramesh Mavathur is often cited by papers focused on Diabetes Management and Research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Adipose Tissue and Metabolism (3 papers). Ramesh Mavathur collaborates with scholars based in India, United Kingdom and Germany. Ramesh Mavathur's co-authors include Georgi Muskhelishvili, Andrew Travers, Marcel Geertz, Nicolas Blot, Sylvie Rimsky, Benjamin Lang, Emeline Bouffartigues, Cynthia L. Pon, Claudio O. Gualerzi and M. Madan Babu and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Ramesh Mavathur

18 papers receiving 458 citations

Author Peers

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

Author						Papers	Cites
Ramesh Mavathur	292	274	155	60	40	22	461
Mary Ellen Burke	333 1.1×	271 1.0×	102 0.7×	72 1.2×	46 1.1×	22	491
Eva María Camacho	188 0.6×	201 0.7×	129 0.8×	73 1.2×	53 1.3×	17	479
Fatima Kamal	136 0.5×	90 0.3×	187 1.2×	190 3.2×	119 3.0×	17	488
Michel Clerget	315 1.1×	210 0.8×	140 0.9×	38 0.6×	70 1.8×	13	430
Yumiko Saijo‐Hamano	325 1.1×	264 1.0×	94 0.6×	96 1.6×	20 0.5×	19	506
Jianing Geng	225 0.8×	43 0.2×	59 0.4×	24 0.4×	42 1.1×	13	417
Subramanian Krishnan	160 0.5×	72 0.3×	31 0.2×	125 2.1×	54 1.4×	24	471
Brittany N. Ross	169 0.6×	78 0.3×	30 0.2×	104 1.7×	71 1.8×	19	535
Jane A. Colmer	250 0.9×	172 0.6×	67 0.4×	96 1.6×	142 3.5×	16	412
Stephen E. Lizewski	222 0.8×	95 0.3×	51 0.3×	75 1.3×	173 4.3×	21	487

Countries citing papers authored by Ramesh Mavathur

Since Specialization

Citations

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

Fields of papers citing papers by Ramesh Mavathur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Mavathur

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