H. Stam

60 papers receiving 1.1k citations

Peers

H. Stam
Comparison fields: 5 of 105
  • Biochemistry 247
  • Cardiology and Cardiovascular Medicine 385
  • Health Information Management 70
  • Endocrinology, Diabetes and Metabolism 160
  • Clinical Biochemistry 65
Replace Donald A. Kennerly with:
Donald A. Kennerly United States
Yoon-Nyun Kim South Korea
Spyros Deftereos Greece
T. D. V. Lawrie United Kingdom
P Valdiguié France
Akram Kharroubi United States
Anuradha S. Pappu United States
Kenneth Earle United Kingdom
Emma A. Meagher United States
Alena Stančáková Finland
H. Stam relative to Donald A. Kennerly United States Donald A. Kennerly's profile →
Citations per field
00.5×4.9×
Donald A. Kennerly · 1×
Citations per year

Countries citing papers authored by H. Stam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 2012101
2 201241
3 199810
4 19929
5 19909
6 19906
7
Lipid peroxidation and its significance for (post) ischemic cardiovascular injury.
19893
8 198929
9 19879
10 19878
11 198718
12 198717
13 19878
14 198613
15
Comparison of heparin-releasable lipase and tissue neutral lipase activity of rat heart.
19838
16 19824
17 198211
18 198130
19 197841
20 197725

About H. Stam

H. Stam is a scholar working on Biochemistry, Health Information Management, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (15 papers), Biomedical Text Mining and Ontologies (9 papers), Cardiovascular Function and Risk Factors (9 papers), Electronic Health Records Systems (9 papers), Adipose Tissue and Metabolism (8 papers), Pharmacology and Obesity Treatment (7 papers), Semantic Web and Ontologies (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). The work is most often cited by research in Biochemistry (247 citations), Cardiology and Cardiovascular Medicine (385 citations), Health Information Management (70 citations), Endocrinology, Diabetes and Metabolism (160 citations) and Clinical Biochemistry (65 citations). H. Stam has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include W.C. Hülsmann, Willem C. Hülsmann, Johanna Ralston, Ralph L. Sacco, David Wood, Roberto Ferrari, D McGhie, David R. Holmes, Susanne Løgstrup and William A. Zoghbi. 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 Methods of Information in Medicine.

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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