Pankaj Sharma

65 total papers · 1.0k total citations
35 papers, 699 citations indexed

About

Pankaj Sharma is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Pankaj Sharma has authored 35 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Pankaj Sharma's work include Plant Pathogens and Resistance (6 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Disease Resistance and Genetics (4 papers). Pankaj Sharma is often cited by papers focused on Plant Pathogens and Resistance (6 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Disease Resistance and Genetics (4 papers). Pankaj Sharma collaborates with scholars based in India, United States and United Kingdom. Pankaj Sharma's co-authors include Manchikatla Venkat Rajam, S. Jaharul Haque, P. Rai, R. S. Jat, Michel L. Tremblay, Rikhia Chakraborty, Tsukasa Kawahara, Lu Wang, Booki Min and J. David Lambeth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Immunity.

In The Last Decade

Pankaj Sharma

33 papers receiving 668 citations

Author Peers

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

Author						Papers	Cites
Pankaj Sharma	384	301	96	78	61	35	699
Qi Zhang	370 1.0×	201 0.7×	124 1.3×	42 0.5×	34 0.6×	57	909
Min Ren	377 1.0×	250 0.8×	71 0.7×	46 0.6×	71 1.2×	62	802
Gordana Timotijević	210 0.5×	401 1.3×	111 1.2×	40 0.5×	43 0.7×	39	836
Qingjun Wang	351 0.9×	287 1.0×	41 0.4×	41 0.5×	77 1.3×	54	781
Jean‐Marie Guigonis	364 0.9×	139 0.5×	75 0.8×	53 0.7×	45 0.7×	42	793
Aruna Vashishta	392 1.0×	78 0.3×	119 1.2×	76 1.0×	63 1.0×	38	825
Jinying Lu	216 0.6×	211 0.7×	128 1.3×	40 0.5×	28 0.5×	20	626
Mami Suzuki	320 0.8×	196 0.7×	60 0.6×	34 0.4×	32 0.5×	35	811
Wenxia Zhao	198 0.5×	349 1.2×	78 0.8×	46 0.6×	59 1.0×	45	814
Yuting Pan	434 1.1×	198 0.7×	60 0.6×	59 0.8×	35 0.6×	50	821

Countries citing papers authored by Pankaj Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Pankaj Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Sharma

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