Grishma Pradhan

16 total papers · 531 total citations
12 papers, 363 citations indexed

About

Grishma Pradhan is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Grishma Pradhan has authored 12 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Grishma Pradhan's work include Pain Mechanisms and Treatments (8 papers), Neuropeptides and Animal Physiology (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Grishma Pradhan is often cited by papers focused on Pain Mechanisms and Treatments (8 papers), Neuropeptides and Animal Physiology (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Grishma Pradhan collaborates with scholars based in United States, China and Canada. Grishma Pradhan's co-authors include Theodore J. Price, Jamie K. Moy, Gregory Dussor, Stephanie Shiers, Paulino Barragán‐Iglesias, Salim Megat, Sven Kroener, Ayesha Ahmad, Thomas A. Szabo-Pardi and Juliet M. Mwirigi and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Grishma Pradhan

12 papers receiving 361 citations

Author Peers

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

Author						Papers	Cites
Grishma Pradhan	226	149	110	45	41	12	363
Kufreobong E. Inyang	226 1.0×	112 0.8×	113 1.0×	30 0.7×	61 1.5×	13	353
Diana Tavares‐Ferreira	211 0.9×	132 0.9×	118 1.1×	31 0.7×	23 0.6×	15	400
Ramin Raoof	208 0.9×	113 0.8×	100 0.9×	35 0.8×	40 1.0×	12	402
Hervé A. Martin	228 1.0×	141 0.9×	112 1.0×	31 0.7×	38 0.9×	7	398
Eugen V. Khomula	242 1.1×	148 1.0×	119 1.1×	17 0.4×	39 1.0×	19	371
Saïd M’Dahoma	208 0.9×	122 0.8×	120 1.1×	38 0.8×	30 0.7×	15	363
Lingchi Xu	170 0.8×	98 0.7×	145 1.3×	30 0.7×	20 0.5×	12	384
Neil C. Ford	193 0.9×	103 0.7×	80 0.7×	31 0.7×	64 1.6×	20	373
Karine Thibault	215 1.0×	155 1.0×	77 0.7×	22 0.5×	65 1.6×	17	387
María José López‐González	152 0.7×	153 1.0×	137 1.2×	29 0.6×	20 0.5×	15	380

Countries citing papers authored by Grishma Pradhan

Since Specialization

Citations

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

Fields of papers citing papers by Grishma Pradhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grishma Pradhan

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