Michael Rivkin
Impact in
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms
- Autoimmune and Inflammatory Disorders Research
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Moyamoya disease diagnosis and treatment 2
- Systemic Lupus Erythematosus Research 2
- Rheumatoid Arthritis Research and Therapies 1
-
- Blood Coagulation and Thrombosis Mechanisms 3
- Co-authors
- Adam Kirton (3 shared papers)Gabrielle deVeber (3 shared papers)Catherine Amlie‐Lefond (2 shared papers)Joan Cox Gill (1 shared paper)Anthony K.C. Chan (1 shared paper)Rebecca Ichord (1 shared paper)Michael D. Hill (1 shared paper)Kelley Scholz (1 shared paper)
- Journals
- Neurology (1 paper)Journal of Child Neurology (1 paper)Stroke (1 paper)Annals of Neurology (1 paper)Neurology Neuroimmunology & Neuroinflammation (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Michael Rivkin
7 papers receiving 338 citations
Peers
Comparison fields: 5 of 47
- Hematology 162
- Internal Medicine 47
- Neurology 127
- Developmental Neuroscience 28
- Rheumatology 75
Countries citing papers authored by Michael Rivkin
This map shows the geographic impact of Michael Rivkin'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 Michael Rivkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Rivkin more than expected).
Fields of papers citing papers by Michael Rivkin
This network shows the impact of papers produced by Michael Rivkin. 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 Michael Rivkin. The network helps show where Michael Rivkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Rivkin, 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 | 2015 | 151 | |
| 2 | 2017 | 64 | |
| 3 | 1995 | 55 | |
| 4 | 2019 | 50 | |
| 5 | 2020 | 24 | |
| 6 | ELISA determined IgM and IgA rheumatoid factors in seronegative rheumatoid and psoriatic arthritis. | 1990 | 5 |
| 7 | IgM and IgA rheumatoid factors detected by ELISA in seronegative rheumatoid arthritis patients. | 1989 | 1 |
| 8 | 1996 | 0 |
About Michael Rivkin
Michael Rivkin is a scholar working on Rheumatology, Hematology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 8 papers that have together received 350 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (3 papers), Moyamoya disease diagnosis and treatment (2 papers), Acute Ischemic Stroke Management (2 papers), Systemic Lupus Erythematosus Research (2 papers), Neurological Complications and Syndromes (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), MicroRNA in disease regulation (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Hematology (162 citations), Internal Medicine (47 citations), Neurology (127 citations), Developmental Neuroscience (28 citations) and Rheumatology (75 citations). Michael Rivkin has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Adam Kirton, Gabrielle deVeber, Catherine Amlie‐Lefond, Joan Cox Gill, Anthony K.C. Chan, Rebecca Ichord, Michael D. Hill, Kelley Scholz, Collin A. Hovinga and Anikó Szabó. Their work appears in journals such as Neurology, Journal of Child Neurology, Stroke, Annals of Neurology and Neurology Neuroimmunology & Neuroinflammation.
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.