Pushpa Sharma

52 total papers · 871 total citations
33 papers, 648 citations indexed

About

Pushpa Sharma is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Pushpa Sharma has authored 33 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Neurology and 9 papers in Epidemiology. Recurrent topics in Pushpa Sharma's work include Traumatic Brain Injury and Neurovascular Disturbances (12 papers), Mitochondrial Function and Pathology (9 papers) and Hemoglobin structure and function (7 papers). Pushpa Sharma is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (12 papers), Mitochondrial Function and Pathology (9 papers) and Hemoglobin structure and function (7 papers). Pushpa Sharma collaborates with scholars based in United States, India and China. Pushpa Sharma's co-authors include Paul D. Mongan, Guoqiang Xing, Ryan J. Keneally, Erin S. Barry, Nikolai V. Gorbunov, John F. Capacchione, Biswajit Saha, Sanjeev Bhoi, Neil E. Grunberg and Amol Raheja and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Journal of Applied Physiology.

In The Last Decade

Pushpa Sharma

31 papers receiving 633 citations

Author Peers

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

Author						Papers	Cites
Pushpa Sharma	230	230	139	114	82	33	648
Michael Karlsson	276 1.2×	211 0.9×	120 0.9×	228 2.0×	52 0.6×	34	699
Vincent Vagni	346 1.5×	378 1.6×	181 1.3×	122 1.1×	106 1.3×	21	794
Jakob Wollborn	244 1.1×	65 0.3×	90 0.6×	96 0.8×	50 0.6×	42	726
P. D. Griffiths	148 0.6×	113 0.5×	32 0.2×	58 0.5×	78 1.0×	39	763
Gordana Žunić	101 0.4×	128 0.6×	160 1.2×	124 1.1×	90 1.1×	31	620
Mónica Argüeso	199 0.9×	288 1.3×	264 1.9×	44 0.4×	40 0.5×	51	759
J. Höper	104 0.5×	71 0.3×	58 0.4×	54 0.5×	72 0.9×	50	598
Jimmi Hatton	210 0.9×	262 1.1×	142 1.0×	60 0.5×	61 0.7×	36	708
Nathalie Baudry	133 0.6×	59 0.3×	141 1.0×	60 0.5×	108 1.3×	27	571
Nuria Villalba	230 1.0×	86 0.4×	85 0.6×	37 0.3×	166 2.0×	34	688

Countries citing papers authored by Pushpa Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Pushpa Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pushpa Sharma

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