H. Stam
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
-
- Cardiovascular Function and Risk Factors
Papers in
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- Biomedical Text Mining and Ontologies 9
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- Cardiovascular Function and Risk Factors 10
- Co-authors
- W.C. Hülsmann (27 shared papers)Willem C. Hülsmann (8 shared papers)Roberto Ferrari (4 shared papers)David R. Holmes (4 shared papers)Susanne Løgstrup (4 shared papers)Ralph L. Sacco (4 shared papers)Johanna Ralston (4 shared papers)Kathryn A. Taubert (4 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (8 papers)Basic Research in Cardiology (5 papers)Molecular and Cellular Biochemistry (3 papers)Journal of Molecular and Cellular Cardiology (2 papers)Life Sciences (2 papers)
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
H. Stam
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Biochemistry 269
- Cardiology and Cardiovascular Medicine 358
- Health Information Management 66
- Physiology 254
- Endocrinology, Diabetes and Metabolism 159
Countries citing papers authored by H. Stam
This map shows the geographic impact of H. Stam'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 H. Stam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Stam more than expected).
Fields of papers citing papers by H. Stam
This network shows the impact of papers produced by H. Stam. 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 H. Stam. The network helps show where H. Stam may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Stam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 226 | |
| 2 | 2012 | 106 | |
| 3 | 2012 | 47 | |
| 4 | 1978 | 45 | |
| 5 | 1977 | 43 | |
| 6 | 1980 | 42 | |
| 7 | 2012 | 37 | |
| 8 | 1984 | 36 | |
| 9 | 1981 | 34 | |
| 10 | 1989 | 31 | |
| 11 | 1985 | 31 | |
| 12 | Endothelial lesions, dietary composition and lipid peroxidation. | 1989 | 31 |
| 13 | 1986 | 31 | |
| 14 | 1980 | 28 | |
| 15 | 1977 | 27 | |
| 16 | 1985 | 26 | |
| 17 | 1990 | 24 | |
| 18 | 1982 | 20 | |
| 19 | 1999 | 19 | |
| 20 | 1987 | 19 |
About H. Stam
H. Stam is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biochemistry, Endocrinology, Diabetes and Metabolism and Physiology, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (17 papers), Adipose Tissue and Metabolism (10 papers), Cardiovascular Function and Risk Factors (10 papers), Electronic Health Records Systems (9 papers), Biomedical Text Mining and Ontologies (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Semantic Web and Ontologies (7 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Biochemistry (269 citations), Cardiology and Cardiovascular Medicine (358 citations), Health Information Management (66 citations), Physiology (254 citations) and Endocrinology, Diabetes and Metabolism (159 citations). H. Stam has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include W.C. Hülsmann, Willem C. Hülsmann, Roberto Ferrari, David R. Holmes, Susanne Løgstrup, Ralph L. Sacco, Johanna Ralston, Kathryn A. Taubert, D McGhie and David Wood. Their work appears in journals such as Biochemical and Biophysical Research Communications, Basic Research in Cardiology, Molecular and Cellular Biochemistry, Journal of Molecular and Cellular Cardiology and Life 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.