Susan Slagle
Impact in
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- Multiple Sclerosis Research Studies
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Cardiovascular Effects of Exercise 2
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- Cardiac Imaging and Diagnostics 3
- Co-authors
- Lewis I. Gidez (1 shared paper)H. Eder (1 shared paper)George J. Miller (1 shared paper)M Burstein (1 shared paper)Murray B. Bornstein (4 shared papers)Michael Sela (3 shared papers)Dvora Teitelbaum (3 shared papers)William Weiss (3 shared papers)
- Journals
- Neurology (1 paper)International Journal of Technology Assessment in Health Care (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Gynecologic Oncology (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Susan Slagle
13 papers receiving 1.4k citations
Susan Slagle's Hit Papers
Peers
Comparison fields: 5 of 96
- Pathology and Forensic Medicine 403
- Endocrinology, Diabetes and Metabolism 364
- Neurology 160
- Cardiology and Cardiovascular Medicine 199
- Immunology 182
Countries citing papers authored by Susan Slagle
This map shows the geographic impact of Susan Slagle'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 Susan Slagle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Slagle more than expected).
Fields of papers citing papers by Susan Slagle
This network shows the impact of papers produced by Susan Slagle. 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 Susan Slagle. The network helps show where Susan Slagle may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan Slagle, 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 | Separation and quantitation of subclasses of human plasma high density lipoproteins by a simple precipitation procedure Hit paper breakdown → | 1982 | 703 |
| 2 | 1987 | 345 | |
| 3 | 1991 | 119 | |
| 4 | 1981 | 83 | |
| 5 | 1966 | 67 | |
| 6 | 1984 | 57 | |
| 7 | 1985 | 25 | |
| 8 | 1987 | 16 | |
| 9 | 1984 | 11 | |
| 10 | Clinical experience with COP-1 in multiple sclerosis. | 1988 | 7 |
| 11 | Clinical trial design in multiple sclerosis therapy. | 1988 | 5 |
| 12 | 1989 | 3 | |
| 13 | 1988 | 1 |
About Susan Slagle
Susan Slagle is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Ecology, Evolution, Behavior and Systematics, Epidemiology and Obstetrics and Gynecology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (3 papers), Cardiovascular Effects of Exercise (2 papers), Statistical Methods in Clinical Trials (2 papers), Cervical Cancer and HPV Research (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Estrogen and related hormone effects (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (403 citations), Endocrinology, Diabetes and Metabolism (364 citations), Neurology (160 citations), Cardiology and Cardiovascular Medicine (199 citations) and Immunology (182 citations). Susan Slagle has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Lewis I. Gidez, H. Eder, George J. Miller, M Burstein, Murray B. Bornstein, Michael Sela, Dvora Teitelbaum, William Weiss, Ruth Arnon and Ellen Drexler. Their work appears in journals such as Neurology, International Journal of Technology Assessment in Health Care, The Journal of Clinical Endocrinology & Metabolism, Gynecologic Oncology and Annals of the New York Academy of Sciences.
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.