Uma V. Ekbote

16 total papers · 530 total citations
15 papers, 452 citations indexed

About

Uma V. Ekbote is a scholar working on Immunology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Uma V. Ekbote has authored 15 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Epidemiology. Recurrent topics in Uma V. Ekbote's work include Reproductive System and Pregnancy (9 papers), Insect Utilization and Effects (5 papers) and Neurobiology and Insect Physiology Research (5 papers). Uma V. Ekbote is often cited by papers focused on Reproductive System and Pregnancy (9 papers), Insect Utilization and Effects (5 papers) and Neurobiology and Insect Physiology Research (5 papers). Uma V. Ekbote collaborates with scholars based in United Kingdom, India and Canada. Uma V. Ekbote's co-authors include Nicolas M. Orsi, James J. Walker, Nadia Gopichandran, R. Elwyn Isaac, David Coates, Alan D. Shirras, Robert J. Weaver, R. Elwyn Isaac, Philip McShane and Phillip R. Bennett and has published in prestigious journals such as PLoS ONE, FEBS Letters and Annals of the New York Academy of Sciences.

In The Last Decade

Uma V. Ekbote

15 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Uma V. Ekbote	157	123	123	101	87	15	452
Pei F. Lai	158 1.0×	74 0.6×	96 0.8×	12 0.1×	87 1.0×	21	426
A. Tania Bijovsky	119 0.8×	120 1.0×	233 1.9×	165 1.6×	88 1.0×	23	468
Isabella Rodrigues Fernandes	54 0.3×	170 1.4×	115 0.9×	13 0.1×	53 0.6×	13	441
Yiwen Hu	116 0.7×	181 1.5×	188 1.5×	16 0.2×	80 0.9×	19	487
Un Yung Choi	231 1.5×	202 1.6×	33 0.3×	37 0.4×	97 1.1×	18	515
Yang Pan	164 1.0×	158 1.3×	40 0.3×	23 0.2×	40 0.5×	25	477
Atsushi ASANO	220 1.4×	104 0.8×	41 0.3×	6 0.1×	126 1.4×	19	460
Tian Wang	38 0.2×	273 2.2×	58 0.5×	13 0.1×	46 0.5×	27	500
Paul O. Wafula	304 1.9×	186 1.5×	140 1.1×	16 0.2×	30 0.3×	12	522
Étienne Frumence	44 0.3×	71 0.6×	228 1.9×	98 1.0×	67 0.8×	23	430

Countries citing papers authored by Uma V. Ekbote

Since Specialization

Citations

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

Fields of papers citing papers by Uma V. Ekbote

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uma V. Ekbote. 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 Uma V. Ekbote. The network helps show where Uma V. Ekbote may publish in the future.

Co-authorship network of co-authors of Uma V. Ekbote

This figure shows the co-authorship network connecting the top 25 collaborators of Uma V. Ekbote. A scholar is included among the top collaborators of Uma V. Ekbote 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 Uma V. Ekbote. Uma V. Ekbote 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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