D Goodkin
Impact in
-
- Multiple Sclerosis Research Studies
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
Papers in ⓘ
-
- Multiple Sclerosis Research Studies 7
-
- Rheumatoid Arthritis Research and Therapies 2
- Systemic Lupus Erythematosus Research 2
- Urticaria and Related Conditions 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 Interferon & Cytokine Research (1 paper)The Lancet (1 paper)Multiple Sclerosis Journal (1 paper)Neuropediatrics (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
D Goodkin
12 papers receiving 985 citations
Peers
Comparison fields: 5 of 81
- Pathology and Forensic Medicine 724
- Rheumatology 220
- Neurology 221
- Biological Psychiatry 31
- Hematology 120
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 | 199 | |
| 3 | 1992 | 157 | |
| 4 | 1996 | 111 | |
| 5 | 2003 | 86 | |
| 6 | 2001 | 67 | |
| 7 | 2001 | 53 | |
| 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, Immunology and Allergy, Statistics and Probability and Cancer Research, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), Polyomavirus and related diseases (3 papers), Protease and Inhibitor Mechanisms (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Cell Adhesion Molecules Research (2 papers), Systemic Lupus Erythematosus Research (2 papers), Statistical Methods in Clinical Trials (2 papers) and Urticaria and Related Conditions (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (724 citations), Rheumatology (220 citations), Neurology (221 citations), Biological Psychiatry (31 citations) and Hematology (120 citations). D Goodkin has collaborated with scholars based in United States, United Kingdom and Switzerland. 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 Interferon & Cytokine Research, The Lancet, Multiple Sclerosis Journal and Neuropediatrics.
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.