P. Nagesh

25 total papers · 827 total citations
15 papers, 509 citations indexed

About

P. Nagesh is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, P. Nagesh has authored 15 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 3 papers in Inorganic Chemistry and 2 papers in Molecular Biology. Recurrent topics in P. Nagesh's work include Peanut Plant Research Studies (6 papers), Genetics and Plant Breeding (5 papers) and Agricultural pest management studies (3 papers). P. Nagesh is often cited by papers focused on Peanut Plant Research Studies (6 papers), Genetics and Plant Breeding (5 papers) and Agricultural pest management studies (3 papers). P. Nagesh collaborates with scholars based in India, Mali and Nepal. P. Nagesh's co-authors include Pasupuleti Janila, Rajeev K. Varshney, Manish K. Pandey, S. N. Nigam, Surendra S. Manohar, T. Radhakrishnan, Manda Sriswathi, M. V. C. Gowda, G. Usharani and V. Ravindra Babu and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and Crop Science.

In The Last Decade

P. Nagesh

14 papers receiving 478 citations

Author Peers

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

Author						Papers	Cites
P. Nagesh	479	163	92	27	22	15	509
Issa Faye	471 1.0×	194 1.2×	78 0.8×	18 0.7×	8 0.4×	13	482
A. J. Norden	538 1.1×	304 1.9×	117 1.3×	7 0.3×	20 0.9×	32	570
Péricles de Albuquerque Melo Filho	447 0.9×	46 0.3×	146 1.6×	8 0.3×	4 0.2×	26	506
J. Narayana Rao	439 0.9×	47 0.3×	58 0.6×	11 0.4×	4 0.2×	17	465
Yogendra Khedikar	466 1.0×	186 1.1×	151 1.6×	24 0.9×	41 1.9×	13	533
Ruichun Zhong	365 0.8×	46 0.3×	105 1.1×	64 2.4×	18 0.8×	18	446
Suping Feng	451 0.9×	177 1.1×	215 2.3×	108 4.0×	10 0.5×	14	542
Ye Zhang	466 1.0×	24 0.1×	244 2.7×	30 1.1×	11 0.5×	22	551
Robert L. D’Ordine	365 0.8×	31 0.2×	315 3.4×	49 1.8×	17 0.8×	12	604
M. Newman	443 0.9×	127 0.8×	110 1.2×	187 6.9×	2 0.1×	12	522

Countries citing papers authored by P. Nagesh

Since Specialization

Citations

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

Fields of papers citing papers by P. Nagesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Nagesh

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