D Goodkin
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 5%
- Peripheral Neuropathies and Disorders
Papers in
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- Multiple Sclerosis Research Studies 7
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- Eosinophilic Disorders and Syndromes 1
- Co-authors
- David C. Mohr (3 shared papers)Nicole M. Gatto (2 shared papers)William Likosky (2 shared papers)Emmanuelle Waubant (6 shared papers)Richard A. Rudick (2 shared papers)Kai Baumann (1 shared paper)Peter Bacchetti (3 shared papers)Lauren Gee (3 shared papers)
- Journals
- Neurology (4 papers)Journal of Neuroimmunology (1 paper)Journal of Interferon & Cytokine Research (1 paper)The Lancet (1 paper)Multiple Sclerosis Journal (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
D Goodkin
12 papers receiving 991 citations
Peers
Comparison fields: 5 of 76
- Pathology and Forensic Medicine 693
- Neurology 162
- Rheumatology 136
- Biological Psychiatry 21
- Cancer Research 122
Countries citing papers authored by D Goodkin
This map shows the geographic impact of D Goodkin'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 D Goodkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Goodkin more than expected).
Fields of papers citing papers by D Goodkin
This network shows the impact of papers produced by D Goodkin. 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 D Goodkin. The network helps show where D Goodkin may publish in the future.
Co-authors
The 25 scholars most cited alongside D Goodkin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 268 | |
| 2 | 1999 | 200 | |
| 3 | 1992 | 157 | |
| 4 | 1996 | 112 | |
| 5 | 2003 | 87 | |
| 6 | 2001 | 67 | |
| 7 | 2001 | 52 | |
| 8 | 1999 | 47 | |
| 9 | 2001 | 26 | |
| 10 | 1999 | 18 | |
| 11 | 1994 | 3 | |
| 12 | Methodological problems in evaluating efficacy of a treatment in multiple sclerosis. | 2000 | 2 |
About D Goodkin
D Goodkin is a scholar working on Pathology and Forensic Medicine, Rheumatology, Statistics and Probability, Dermatology and Oncology, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), Statistical Methods in Clinical Trials (2 papers), Cell Adhesion Molecules Research (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Protease and Inhibitor Mechanisms (1 paper), NF-κB Signaling Pathways (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Eosinophilic Disorders and Syndromes (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (693 citations), Neurology (162 citations), Rheumatology (136 citations), Biological Psychiatry (21 citations) and Cancer Research (122 citations). D Goodkin has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include David C. Mohr, Nicole M. Gatto, William Likosky, Emmanuelle Waubant, Richard A. Rudick, Kai Baumann, Peter Bacchetti, Lauren Gee, R. Sloan and Karen Miller. Their work appears in journals such as Neurology, Journal of Neuroimmunology, Journal of Interferon & Cytokine Research, The Lancet and Multiple Sclerosis Journal.
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.