Channa Keshava

42 total papers · 1.1k total citations
34 papers, 831 citations indexed

About

Channa Keshava is a scholar working on Cancer Research, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Channa Keshava has authored 34 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 16 papers in Molecular Biology and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Channa Keshava's work include Carcinogens and Genotoxicity Assessment (18 papers), Effects and risks of endocrine disrupting chemicals (8 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Channa Keshava is often cited by papers focused on Carcinogens and Genotoxicity Assessment (18 papers), Effects and risks of endocrine disrupting chemicals (8 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Channa Keshava collaborates with scholars based in United States, Russia and Germany. Channa Keshava's co-authors include Ainsley Weston, Nagalakshmi Keshava, J. Nath, Erin C. McCanlies, Mary S. Wolff, Tong-man Ong, Wen‐Zong Whong, Miriam C. Poirier, Nathalie Augè and Brinda Mahadevan and has published in prestigious journals such as Cancer Research, American Journal of Epidemiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Channa Keshava

32 papers receiving 803 citations

Author Peers

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

Author Last Decade Papers Cites
Channa Keshava 329 209 168 152 106 34 831
Yves Barra 351 1.1× 105 0.5× 135 0.8× 108 0.7× 130 1.2× 31 769
Barry Phillips 369 1.1× 286 1.4× 96 0.6× 155 1.0× 56 0.5× 63 1.0k
Aurora Viaje 511 1.6× 380 1.8× 137 0.8× 130 0.9× 115 1.1× 35 941
Keita Kanki 535 1.6× 253 1.2× 124 0.7× 96 0.6× 69 0.7× 50 985
Masanao Yokohira 304 0.9× 92 0.4× 153 0.9× 127 0.8× 69 0.7× 79 935
Sipra Banerjee 596 1.8× 292 1.4× 169 1.0× 75 0.5× 85 0.8× 55 949
Amy Pavone 313 1.0× 135 0.6× 141 0.8× 50 0.3× 59 0.6× 30 726
Giocondo Lorenzon 371 1.1× 285 1.4× 138 0.8× 236 1.6× 70 0.7× 23 977
Anna Kakehashi 461 1.4× 248 1.2× 151 0.9× 94 0.6× 56 0.5× 89 1.0k
Andrew M. Standeven 344 1.0× 127 0.6× 126 0.8× 389 2.6× 43 0.4× 35 1.0k

Countries citing papers authored by Channa Keshava

Since Specialization
Citations

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

Fields of papers citing papers by Channa Keshava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Channa Keshava

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