Wik Heerma
Impact in
- Spectroscopy top 1%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Pollution top 10%
- Microbial bioremediation and biosurfactants
Papers in
- Spectroscopy 50
- Mass Spectrometry Techniques and Applications 50
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- Cannabis and Cannabinoid Research 4
- Co-authors
- Johan Haverkamp (22 shared papers)Chris G. de Koster (13 shared papers)Johan K. Terlouw (13 shared papers)G. Dijkstra (11 shared papers)Jane E. THOMAS‐OATES (3 shared papers)Vladimı́r Kováčik (4 shared papers)William D. van Dongen (10 shared papers)Lars P. Brüll (2 shared papers)
- Journals
- Rapid Communications in Mass Spectrometry (9 papers)Journal of Mass Spectrometry (8 papers)Tetrahedron (4 papers)Analytica Chimica Acta (2 papers)Journal of Chromatography A (2 papers)
- Partner nations
- NetherlandsSlovakiaCanada
In The Last Decade
Wik Heerma
60 papers receiving 1k citations
Peers
Comparison fields: 5 of 63
- Spectroscopy 624
- Pollution 83
- Pharmacology 94
- Toxicology 28
- Biochemistry 25
Countries citing papers authored by Wik Heerma
This map shows the geographic impact of Wik Heerma'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 Wik Heerma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wik Heerma more than expected).
Fields of papers citing papers by Wik Heerma
This network shows the impact of papers produced by Wik Heerma. 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 Wik Heerma. The network helps show where Wik Heerma may publish in the future.
Co-authors
The 25 scholars most cited alongside Wik Heerma, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 87 | |
| 2 | 1995 | 78 | |
| 3 | 1997 | 68 | |
| 4 | 1993 | 46 | |
| 5 | 1995 | 43 | |
| 6 | 1985 | 38 | |
| 7 | 1999 | 38 | |
| 8 | 1976 | 37 | |
| 9 | 1981 | 36 | |
| 10 | 1996 | 33 | |
| 11 | 1994 | 32 | |
| 12 | 1996 | 32 | |
| 13 | 1973 | 30 | |
| 14 | 1981 | 29 | |
| 15 | 1975 | 28 | |
| 16 | 1981 | 28 | |
| 17 | 1996 | 28 | |
| 18 | 1993 | 22 | |
| 19 | 1969 | 21 | |
| 20 | 1970 | 20 |
About Wik Heerma
Wik Heerma is a scholar working on Spectroscopy, Pharmacology, Biochemistry, Biotechnology and Food Science, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (50 papers), Cannabis and Cannabinoid Research (4 papers), Carbohydrate Chemistry and Synthesis (2 papers), Enzyme Production and Characterization (2 papers), Probiotics and Fermented Foods (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Lipid metabolism and biosynthesis (2 papers) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Spectroscopy (624 citations), Pollution (83 citations), Pharmacology (94 citations), Toxicology (28 citations) and Biochemistry (25 citations). Wik Heerma has collaborated with scholars based in Netherlands, Slovakia and Canada. Frequent co-authors include Johan Haverkamp, Chris G. de Koster, Johan K. Terlouw, G. Dijkstra, Jane E. THOMAS‐OATES, Vladimı́r Kováčik, William D. van Dongen, Lars P. Brüll, Cees Versluis and Pavol Kováč. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Journal of Mass Spectrometry, Tetrahedron, Analytica Chimica Acta and Journal of Chromatography A.
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.