Prasanna Tadi

173 total papers · 1.4k total citations
77 papers, 474 citations indexed

About

Prasanna Tadi is a scholar working on Neurology, Epidemiology and Surgery. According to data from OpenAlex, Prasanna Tadi has authored 77 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 13 papers in Epidemiology and 12 papers in Surgery. Recurrent topics in Prasanna Tadi's work include Acute Ischemic Stroke Management (11 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Neuroscience of respiration and sleep (4 papers). Prasanna Tadi is often cited by papers focused on Acute Ischemic Stroke Management (11 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Neuroscience of respiration and sleep (4 papers). Prasanna Tadi collaborates with scholars based in United States, Pakistan and Sint Maarten. Prasanna Tadi's co-authors include Jerzy P. Szaflarski, Brian C. Dean, Lawrence J. Hirsch, Brandon Foreman, Jan Claassen, Jonathan J. Halford, Peter W. Kaplan, Pradeep C. Bollu, Sheryl Martin‐Schild and Rimal H. Dossani and has published in prestigious journals such as PLoS ONE, Neurology and Clinical Neurophysiology.

In The Last Decade

Prasanna Tadi

75 papers receiving 462 citations

Author Peers

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

Author						Papers	Cites
Prasanna Tadi	89	70	70	66	53	77	474
Yaqing Zhang	69 0.8×	48 0.7×	112 1.6×	62 0.9×	54 1.0×	46	414
Ravi Prasad Varma	144 1.6×	38 0.5×	113 1.6×	57 0.9×	53 1.0×	51	539
Eugene Scharf	32 0.4×	56 0.8×	73 1.0×	103 1.6×	33 0.6×	47	489
Tsuyoshi Shimomura	76 0.9×	60 0.9×	67 1.0×	88 1.3×	50 0.9×	44	520
N Nagaratnam	48 0.5×	63 0.9×	26 0.4×	67 1.0×	47 0.9×	69	475
M Nathanson	88 1.0×	106 1.5×	69 1.0×	29 0.4×	32 0.6×	44	486
T Takasu	78 0.9×	155 2.2×	35 0.5×	98 1.5×	46 0.9×	51	545
Thomas Iype	125 1.4×	52 0.7×	170 2.4×	55 0.8×	39 0.7×	60	544
Alina-Costina Luca	44 0.5×	74 1.1×	72 1.0×	99 1.5×	31 0.6×	42	418
Rachel Galioto	82 0.9×	84 1.2×	186 2.7×	38 0.6×	27 0.5×	37	468

Countries citing papers authored by Prasanna Tadi

Since Specialization

Citations

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

Fields of papers citing papers by Prasanna Tadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasanna Tadi

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