Gerd Assmann
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Lipid metabolism and disorders
Papers in
- Surgery 4
- Lipoproteins and Cardiovascular Health 4
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Co-authors
- Helmut Schulte (3 shared papers)Ralf Junker (2 shared papers)Paul Cullen (1 shared paper)Michael Walter (1 shared paper)Hugo Van Aken (1 shared paper)C. G. Schmidt (1 shared paper)Elmar Berendes (1 shared paper)Michael Erren (1 shared paper)
- Journals
- The American Journal of Cardiology (3 papers)Thrombosis and Haemostasis (1 paper)Anesthesia & Analgesia (1 paper)Clinica Chimica Acta (1 paper)Journal of Neurology (1 paper)
- Partner nations
- Germany
In The Last Decade
Gerd Assmann
8 papers receiving 833 citations
Gerd Assmann's Hit Papers
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 394
- Cardiology and Cardiovascular Medicine 192
- Surgery 359
- Cancer Research 102
- Hematology 49
Countries citing papers authored by Gerd Assmann
This map shows the geographic impact of Gerd Assmann'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 Gerd Assmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Assmann more than expected).
Fields of papers citing papers by Gerd Assmann
This network shows the impact of papers produced by Gerd Assmann. 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 Gerd Assmann. The network helps show where Gerd Assmann may publish in the future.
Co-authors
The 22 scholars most cited alongside Gerd Assmann, 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 | Relation of high-density lipoprotein cholesterol and triglycerides to incidence of atherosclerotic coronary artery disease (the PROCAM experience) Hit paper breakdown → | 1992 | 722 |
| 2 | 1998 | 60 | |
| 3 | 2001 | 55 | |
| 4 | 2001 | 46 | |
| 5 | 1999 | 24 | |
| 6 | 1989 | 8 | |
| 7 | 2001 | 7 | |
| 8 | 1982 | 2 |
About Gerd Assmann
Gerd Assmann is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology and Sociology and Political Science, having authored 8 papers that have together received 924 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Heart Failure Treatment and Management (1 paper), Obesity, Physical Activity, Diet (1 paper), Fatty Acid Research and Health (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (394 citations), Cardiology and Cardiovascular Medicine (192 citations), Surgery (359 citations), Cancer Research (102 citations) and Hematology (49 citations). Gerd Assmann has collaborated with scholars based in Germany. Frequent co-authors include Helmut Schulte, Ralf Junker, Paul Cullen, Michael Walter, Hugo Van Aken, C. G. Schmidt, Elmar Berendes, Michael Erren, Jerzy–Roch Nofer and Dirk W. Droste. Their work appears in journals such as The American Journal of Cardiology, Thrombosis and Haemostasis, Anesthesia & Analgesia, Clinica Chimica Acta and Journal of 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.