Susan Slagle
- Neurology top 5%
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- Cardiovascular Effects of Exercise 2
- Viral Infections and Immunology Research 1
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- Cardiac Imaging and Diagnostics 3
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- Health Systems, Economic Evaluations, Quality of Life 2
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- Cervical Cancer and HPV Research 2
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- Statistical Methods in Clinical Trials 2
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- Pregnancy and preeclampsia studies 1
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- Fungal Plant Pathogen Control 1
Susan Slagle
13 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 412
- Pathology and Forensic Medicine 422
- Neurology 199
- Cardiology and Cardiovascular Medicine 239
- Immunology 200
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-authorship network
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 | 1991 | 119 | |
| 2 | 1989 | 3 | |
| 3 | Clinical trial design in multiple sclerosis therapy. | 1988 | 5 |
| 4 | Clinical experience with COP-1 in multiple sclerosis. | 1988 | 8 |
| 5 | 1988 | 1 | |
| 6 | 1987 | 343 | |
| 7 | 1987 | 16 | |
| 8 | 1985 | 25 | |
| 9 | 1984 | 11 | |
| 10 | 1984 | 57 | |
| 11 | Separation and quantitation of subclasses of human plasma high density lipoproteins by a simple precipitation procedurebreakdown → | 1982 | 703 |
| 12 | 1981 | 83 | |
| 13 | 1966 | 67 |
About Susan Slagle
Susan Slagle is a scholar working on Obstetrics and Gynecology, Statistics and Probability, Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Cervical Cancer and HPV Research (2 papers), Statistical Methods in Clinical Trials (2 papers), Cardiovascular Effects of Exercise (2 papers), Pregnancy and preeclampsia studies (1 paper), Viral Infections and Immunology Research (1 paper) and Fungal Plant Pathogen Control (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (412 citations), Pathology and Forensic Medicine (422 citations), Neurology (199 citations), Cardiology and Cardiovascular Medicine (239 citations) and Immunology (200 citations). Susan Slagle has collaborated with scholars based in United States and Israel. Frequent co-authors include M Burstein, Lewis I. Gidez, George J. Miller, H. Eder, Murray B. Bornstein, William Weiss, Dvora Teitelbaum, Michael Sela, Ruth Arnon and Ellen Drexler. Their work appears in journals such as Journal of Lipid Research, The Diabetes Educator, New England Journal of Medicine, American Journal of Epidemiology and Neurology.
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.