Pratap Venepally

56 total papers · 3.1k total citations
31 papers, 1.2k citations indexed

About

Pratap Venepally is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Pratap Venepally has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Ecology. Recurrent topics in Pratap Venepally's work include Retinoids in leukemia and cellular processes (8 papers), Estrogen and related hormone effects (8 papers) and Genomics and Phylogenetic Studies (6 papers). Pratap Venepally is often cited by papers focused on Retinoids in leukemia and cellular processes (8 papers), Estrogen and related hormone effects (8 papers) and Genomics and Phylogenetic Studies (6 papers). Pratap Venepally collaborates with scholars based in United States, Germany and Cameroon. Pratap Venepally's co-authors include Michael R. Waterman, Mark Novotny, Roger S. Lasken, Michael J. McConnell, Fred H. Gage, Jun Cheng, Soledad Calvo, Andrés Buonanno, Brahma P. Sani and Rashel V. Grindberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Pratap Venepally

31 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Pratap Venepally 875 209 119 117 108 31 1.2k
Qingqing Wang 872 1.0× 147 0.7× 104 0.9× 120 1.0× 95 0.9× 36 1.2k
Changqing Li 897 1.0× 160 0.8× 107 0.9× 108 0.9× 119 1.1× 72 1.4k
Xianjin Yi 627 0.7× 139 0.7× 114 1.0× 89 0.8× 187 1.7× 22 1.3k
Yixin Li 884 1.0× 231 1.1× 84 0.7× 135 1.2× 51 0.5× 54 1.4k
Haijing Yu 793 0.9× 178 0.9× 120 1.0× 210 1.8× 66 0.6× 37 1.2k
Benoı̂t Dérijard 688 0.8× 172 0.8× 46 0.4× 101 0.9× 143 1.3× 22 1.1k
Rita Lo 877 1.0× 181 0.9× 245 2.1× 151 1.3× 218 2.0× 21 1.4k
Qiang Xu 926 1.1× 129 0.6× 91 0.8× 185 1.6× 184 1.7× 51 1.5k
Éva Hunyadi‐Gulyás 763 0.9× 103 0.5× 76 0.6× 81 0.7× 90 0.8× 66 1.1k
Simran Kaur 895 1.0× 157 0.8× 59 0.5× 284 2.4× 66 0.6× 35 1.4k

Countries citing papers authored by Pratap Venepally

Since Specialization
Citations

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

Fields of papers citing papers by Pratap Venepally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratap Venepally

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