Sujata Pradhan

46 total papers · 809 total citations
36 papers, 546 citations indexed

About

Sujata Pradhan is a scholar working on Neurology, Psychiatry and Mental health and Biomedical Engineering. According to data from OpenAlex, Sujata Pradhan has authored 36 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 10 papers in Psychiatry and Mental health and 8 papers in Biomedical Engineering. Recurrent topics in Sujata Pradhan's work include Parkinson's Disease Mechanisms and Treatments (11 papers), Cerebral Palsy and Movement Disorders (9 papers) and Muscle activation and electromyography studies (8 papers). Sujata Pradhan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (11 papers), Cerebral Palsy and Movement Disorders (9 papers) and Muscle activation and electromyography studies (8 papers). Sujata Pradhan collaborates with scholars based in United States, India and Canada. Sujata Pradhan's co-authors include Valerie E. Kelly, Bruce G. Ward, Anthony Delitto, Bambi R. Brewer, Danielle Levac, Judith E. Deutsch, Emily J. Fox, Yoky Matsuoka, George E. Carvell and Deborah D. Espy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Archives of Physical Medicine and Rehabilitation and Physical Therapy.

In The Last Decade

Sujata Pradhan

33 papers receiving 524 citations

Author Peers

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

Author						Papers	Cites
Sujata Pradhan	189	165	119	110	81	36	546
Marta Aguilar‐Rodríguez	87 0.5×	148 0.9×	40 0.3×	35 0.3×	32 0.4×	59	506
Alex Todhunter‐Brown	108 0.6×	148 0.9×	72 0.6×	369 3.4×	15 0.2×	17	566
J. P. Boucher	112 0.6×	95 0.6×	49 0.4×	197 1.8×	18 0.2×	20	578
Areerat Suputtitada	264 1.4×	148 0.9×	70 0.6×	197 1.8×	37 0.5×	50	531
Kevin Sykes	70 0.4×	44 0.3×	64 0.5×	48 0.4×	105 1.3×	20	546
Akram Azad	82 0.4×	189 1.1×	113 0.9×	134 1.2×	53 0.7×	73	553
Rebecca A. States	105 0.6×	161 1.0×	116 1.0×	166 1.5×	43 0.5×	26	589
Jinjing Wang	69 0.4×	61 0.4×	14 0.1×	154 1.4×	32 0.4×	33	509
Elen Beatriz Pinto	115 0.6×	216 1.3×	172 1.4×	321 2.9×	32 0.4×	44	607
Naoto Kamide	76 0.4×	151 0.9×	219 1.8×	102 0.9×	156 1.9×	48	572

Countries citing papers authored by Sujata Pradhan

Since Specialization

Citations

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

Fields of papers citing papers by Sujata Pradhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujata Pradhan

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