E.C. Klasen
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Cancer, Lipids, and Metabolism
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Machine Learning in Bioinformatics 4
- Insect Resistance and Genetics 3
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- Protease and Inhibitor Mechanisms 12
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Louis M. Havekes (9 shared papers)M. Smit (6 shared papers)Peter de Knijff (4 shared papers)Ulrike Beisiegel (2 shared papers)L.N. Went (1 shared paper)Rune R. Frants (7 shared papers)Johannes A. Kramps (3 shared papers)J Bury (1 shared paper)
- Journals
- Human Genetics (7 papers)Human Heredity (4 papers)Clinical Genetics (3 papers)Gut (2 papers)Digestion (2 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
E.C. Klasen
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 324
- Endocrinology, Diabetes and Metabolism 319
- Hematology 110
- Surgery 339
- Molecular Biology 448
Countries citing papers authored by E.C. Klasen
This map shows the geographic impact of E.C. Klasen'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 E.C. Klasen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.C. Klasen more than expected).
Fields of papers citing papers by E.C. Klasen
This network shows the impact of papers produced by E.C. Klasen. 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 E.C. Klasen. The network helps show where E.C. Klasen may publish in the future.
Co-authors
The 25 scholars most cited alongside E.C. Klasen, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 242 | |
| 2 | 1988 | 113 | |
| 3 | 1984 | 104 | |
| 4 | 1986 | 81 | |
| 5 | 1989 | 60 | |
| 6 | 1988 | 58 | |
| 7 | 1988 | 47 | |
| 8 | 1977 | 47 | |
| 9 | 1989 | 35 | |
| 10 | 2010 | 32 | |
| 11 | 1987 | 29 | |
| 12 | 1985 | 27 | |
| 13 | 1978 | 26 | |
| 14 | 1987 | 26 | |
| 15 | 1988 | 25 | |
| 16 | 1982 | 25 | |
| 17 | 2008 | 24 | |
| 18 | 1985 | 22 | |
| 19 | 1998 | 15 | |
| 20 | 1980 | 14 |
About E.C. Klasen
E.C. Klasen is a scholar working on Molecular Biology, Cancer Research, Genetics, Endocrinology, Diabetes and Metabolism and Surgery, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Machine Learning in Bioinformatics (4 papers), Cancer, Lipids, and Metabolism (3 papers), Insect Resistance and Genetics (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and scientometrics and bibliometrics research (2 papers). The work is most often cited by research in Cancer Research (324 citations), Endocrinology, Diabetes and Metabolism (319 citations), Hematology (110 citations), Surgery (339 citations) and Molecular Biology (448 citations). E.C. Klasen has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Louis M. Havekes, M. Smit, Peter de Knijff, Ulrike Beisiegel, L.N. Went, Rune R. Frants, Johannes A. Kramps, J Bury, Maryvonne Rosseneu and Marcel Nelen. Their work appears in journals such as Human Genetics, Human Heredity, Clinical Genetics, Gut and Digestion.
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.