Susan Slagle

13 papers receiving 1.4k citations

Susan Slagle's Hit Papers

Separation and quantitation of subclasses of human plasma high density lipoproteins by a simple precipitation procedure 1982 · 708 citations
7080+14+29Years since publication200400600

Peers

Susan Slagle
Comparison fields: 5 of 98
  • Pathology and Forensic Medicine 454
  • Endocrinology, Diabetes and Metabolism 370
  • Neurology 178
  • Cardiology and Cardiovascular Medicine 207
  • Immunology 196
Replace Kyohei Nonaka with:
Kyohei Nonaka Japan
Jacqueline Peynet France
Toshifumi Mannami Japan
Tomohito Gohda Japan
Bikramjit Dhillon Canada
Stuart I. Myers United States
Tamaki Sasaki Japan
F Fyhrquist Finland
Sergey I. Zharikov United States
Sybille Franke Germany
Susan Slagle relative to Kyohei Nonaka Japan Kyohei Nonaka's profile →
Citations per field
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Kyohei Nonaka · 1×
Citations per year

Countries citing papers authored by Susan Slagle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Susan Slagle Line = papers co-authored together Susan Slagle links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Separation and quantitation of subclasses of human plasma high density lipoproteins by a simple precipitation procedure
Hit paper breakdown →
1982708
2 1987389
3 1991140
4 198196
5 196669
6 198461
7 198529
8 198720
9 198411
10
Clinical experience with COP-1 in multiple sclerosis.
19888
11
Clinical trial design in multiple sclerosis therapy.
19885
12 19893
13 19882

About Susan Slagle

Susan Slagle is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology, Statistics and Probability, Radiology, Nuclear Medicine and Imaging and Ecology, Evolution, Behavior and Systematics, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (3 papers), Statistical Methods in Clinical Trials (2 papers), Cardiovascular Effects of Exercise (2 papers), Cervical Cancer and HPV Research (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Multiple Sclerosis Research Studies (1 paper), Cardiovascular Function and Risk Factors (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (454 citations), Endocrinology, Diabetes and Metabolism (370 citations), Neurology (178 citations), Cardiology and Cardiovascular Medicine (207 citations) and Immunology (196 citations). Susan Slagle has collaborated with scholars based in United States, France and Israel. Frequent co-authors include H. Eder, George J. Miller, M Burstein, Lewis I. Gidez, Murray B. Bornstein, Dvora Teitelbaum, Ruth Arnon, Michael Sela, William M. Weiss and Ellen D. Drexler. Their work appears in journals such as Neurology, Annals of the New York Academy of Sciences, The Science of Diabetes Self-Management and Care, The Journal of Clinical Endocrinology & Metabolism and American Journal of Epidemiology.

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.

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