Multiple Sclerosis Foundation

7.8k citations
246 papers ·

Impact in

Papers in

Multiple Sclerosis Foundation

202 papers receiving 6.6k citations

Peers

Multiple Sclerosis Foundation
Comparison fields: 5 of 156
  • Pathology and Forensic Medicine 5.0k
  • Neurology 1.2k
  • Neurology 548
  • Developmental Neuroscience 267
  • Rheumatology 655
Replace South Florida Veterans Affairs Foundation for Research and Education with:
South Florida Veterans Affairs Foundation for Research and Education United States
Multiple Sclerosis Center of Atlanta United States
Banyan Biomarkers (United States) United States
Sarasota Memorial Hospital United States
Rome Foundation United States
Dorn Research Institute United States
W. G. (Bill) Hefner VA Medical Center United States
Nephrology Center of Maryland United States
Methodist Rehabilitation United States
SouthCoast Health United States
Multiple Sclerosis Foundation relative to South Florida Veterans Affairs Foundation for Research and Education United States South Florida Veterans Affairs Foundation for Research and Education's profile →
Citations per field
00.5×5×10.6×
South Florida Veterans Affairs Foundation for Research and Education · 1×
Citations per year

Countries citing scholars working at Multiple Sclerosis Foundation

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Multiple Sclerosis Foundation. 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 papers produced at Multiple Sclerosis Foundation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multiple Sclerosis Foundation more than expected).

Fields of papers published by authors at Multiple Sclerosis Foundation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Multiple Sclerosis Foundation at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Multiple Sclerosis Foundation at the time of their publication.

About Multiple Sclerosis Foundation

In recent decades, authors affiliated with Multiple Sclerosis Foundation have published 246 papers, which have received a total of 7.8k indexed citations . Scholars at this organization have produced 155 papers in Pathology and Forensic Medicine, 30 papers in Neurology, 22 papers in Rheumatology, 1 paper in Research and Theory and 8 papers in Neurology on the topics of Multiple Sclerosis Research Studies (147 papers), Peripheral Neuropathies and Disorders (17 papers), Rheumatoid Arthritis Research and Therapies (14 papers), Polyomavirus and related diseases (12 papers), Viral Infections and Immunology Research (10 papers), Immunotherapy and Immune Responses (10 papers), Systemic Sclerosis and Related Diseases (9 papers) and Systemic Lupus Erythematosus Research (8 papers). Their work is cited by papers focused on Pathology and Forensic Medicine (5.0k citations), Neurology (1.2k citations), Neurology (548 citations), Developmental Neuroscience (267 citations) and Rheumatology (655 citations). Authors at Multiple Sclerosis Foundation collaborate with scholars in United States, Italy and United Kingdom and have published in prestigious journals including Multiple Sclerosis and Related Disorders, Neurology, Neurological Sciences, Multiple Sclerosis Journal and Annals of Neurology. Some of Multiple Sclerosis Foundation's most productive authors include Richard A. Rudick, Stephen M. Rao, Julie A. Bobholz, Richard M. Ransohoff, Emmanuelle L. Waubant, Donald E. Goodkin, Marie Tani, Randall T. Schapiro, Jeffrey Allen Cohen and Howard Zwibel.

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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