Steven Haffner
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Diabetes Management and Research
- Surgery top 10%
- Lipoproteins and Cardiovascular Health
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Surgery 2
- Lipoproteins and Cardiovascular Health 2
- Co-authors
- Prakash Deedwania (2 shared papers)Rafael Carmena (2 shared papers)James Shepherd (2 shared papers)Scott M. Grundy (2 shared papers)Philip J. Barter (2 shared papers)John C. LaRosa (2 shared papers)Judith Hsia (1 shared paper)David D. Waters (1 shared paper)
- Journals
- The American Journal of Medicine (1 paper)Diabetes Care (1 paper)Nutrition Reviews (1 paper)The Lancet (1 paper)European Heart Journal Supplements (1 paper)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Steven Haffner
5 papers receiving 722 citations
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 504
- Surgery 416
- Cardiology and Cardiovascular Medicine 208
- Cancer Research 69
- Economics and Econometrics 117
Countries citing papers authored by Steven Haffner
This map shows the geographic impact of Steven Haffner'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 Steven Haffner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Haffner more than expected).
Fields of papers citing papers by Steven Haffner
This network shows the impact of papers produced by Steven Haffner. 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 Steven Haffner. The network helps show where Steven Haffner may publish in the future.
Co-authors
The 22 scholars most cited alongside Steven Haffner, 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 | 2006 | 354 | |
| 2 | 2006 | 277 | |
| 3 | 2003 | 101 | |
| 4 | 2006 | 17 | |
| 5 | 2009 | 11 |
About Steven Haffner
Steven Haffner is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Public Health, Environmental and Occupational Health, Economics and Econometrics and Pharmacy, having authored 5 papers that have together received 760 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Obesity, Physical Activity, Diet (2 papers), Obesity and Health Practices (1 paper), Health Promotion and Cardiovascular Prevention (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Nutritional Studies and Diet (1 paper) and Pharmaceutical Economics and Policy (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (504 citations), Surgery (416 citations), Cardiology and Cardiovascular Medicine (208 citations), Cancer Research (69 citations) and Economics and Econometrics (117 citations). Steven Haffner has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Prakash Deedwania, Rafael Carmena, James Shepherd, Scott M. Grundy, Philip J. Barter, John C. LaRosa, Judith Hsia, David D. Waters, Andrei Breazna and Jean‐Charles Fruchart. Their work appears in journals such as The American Journal of Medicine, Diabetes Care, Nutrition Reviews, The Lancet and European Heart Journal Supplements.
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.