Prem S. Ramakrishnan

27 total papers · 718 total citations
17 papers, 538 citations indexed

About

Prem S. Ramakrishnan is a scholar working on Rheumatology, Molecular Biology and Surgery. According to data from OpenAlex, Prem S. Ramakrishnan has authored 17 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 7 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Prem S. Ramakrishnan's work include Osteoarthritis Treatment and Mechanisms (8 papers), Spine and Intervertebral Disc Pathology (5 papers) and Cervical and Thoracic Myelopathy (3 papers). Prem S. Ramakrishnan is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (8 papers), Spine and Intervertebral Disc Pathology (5 papers) and Cervical and Thoracic Myelopathy (3 papers). Prem S. Ramakrishnan collaborates with scholars based in United States and South Korea. Prem S. Ramakrishnan's co-authors include James A. Martin, Marc J. Brouillette, Tae‐Hong Lim, Mitchell C. Coleman, Joseph A. Buckwalter, Dongrim Seol, Todd O. McKinley, Eric Lorenz, Dong‐Hyuk Park and S. Craig Humphreys and has published in prestigious journals such as Spine, Journal of Orthopaedic Research® and Arthritis & Rheumatology.

In The Last Decade

Prem S. Ramakrishnan

17 papers receiving 528 citations

Author Peers

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

Author						Papers	Cites
Prem S. Ramakrishnan	277	212	205	111	72	17	538
Natalia Zinchenko	170 0.6×	215 1.0×	124 0.6×	224 2.0×	162 2.3×	20	606
Haoruo Jia	137 0.5×	164 0.8×	215 1.0×	178 1.6×	136 1.9×	20	574
Zhonghui Chen	265 1.0×	180 0.8×	105 0.5×	164 1.5×	70 1.0×	38	580
Eiji Hanaoka	250 0.9×	154 0.7×	181 0.9×	63 0.6×	85 1.2×	14	471
Cheng-Pei Zhou	228 0.8×	214 1.0×	122 0.6×	89 0.8×	111 1.5×	27	484
Synthia Bethea	134 0.5×	295 1.4×	94 0.5×	81 0.7×	201 2.8×	13	469
Zhe Wang	135 0.5×	244 1.2×	61 0.3×	117 1.1×	139 1.9×	19	489
Linwei Chen	154 0.6×	97 0.5×	164 0.8×	168 1.5×	122 1.7×	19	575
Sharon J. Brown	205 0.7×	270 1.3×	120 0.6×	90 0.8×	164 2.3×	22	558
Junichi Nishioka	178 0.6×	156 0.7×	200 1.0×	40 0.4×	147 2.0×	24	541

Countries citing papers authored by Prem S. Ramakrishnan

Since Specialization

Citations

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

Fields of papers citing papers by Prem S. Ramakrishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prem S. Ramakrishnan. 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 Prem S. Ramakrishnan. The network helps show where Prem S. Ramakrishnan may publish in the future.

Co-authorship network of co-authors of Prem S. Ramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Prem S. Ramakrishnan. A scholar is included among the top collaborators of Prem S. Ramakrishnan 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 Prem S. Ramakrishnan. Prem S. Ramakrishnan 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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