Gerwin K. Spijksma
Impact in
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Pharmacology top 10%
- Plant-based Medicinal Research
Papers in
- Co-authors
- J. van der Greef (7 shared papers)Thomas Hankemeier (7 shared papers)Theo H Reijmers (4 shared papers)Mei Wang (3 shared papers)Rob van der Heijden (3 shared papers)Guowang Xu (3 shared papers)Robert van der Heijden (2 shared papers)Chunxiu Hu (2 shared papers)
- Journals
- Journal of Chromatography A (2 papers)Journal of Proteome Research (1 paper)Journal of Bacteriology (1 paper)Phytochemistry (1 paper)Journal of the Neurological Sciences (1 paper)
- Partner nations
- NetherlandsChinaIreland
In The Last Decade
Gerwin K. Spijksma
10 papers receiving 647 citations
Peers
Comparison fields: 5 of 88
- Spectroscopy 143
- Pharmacology 62
- Molecular Biology 452
- Nephrology 37
- Biochemistry 38
Countries citing papers authored by Gerwin K. Spijksma
This map shows the geographic impact of Gerwin K. Spijksma'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 Gerwin K. Spijksma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerwin K. Spijksma more than expected).
Fields of papers citing papers by Gerwin K. Spijksma
This network shows the impact of papers produced by Gerwin K. Spijksma. 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 Gerwin K. Spijksma. The network helps show where Gerwin K. Spijksma may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerwin K. Spijksma, 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 | 2008 | 148 | |
| 2 | 2011 | 140 | |
| 3 | 2011 | 75 | |
| 4 | 2008 | 70 | |
| 5 | 2003 | 69 | |
| 6 | 2009 | 53 | |
| 7 | 2003 | 49 | |
| 8 | 2018 | 24 | |
| 9 | 2015 | 21 | |
| 10 | 2011 | 12 |
About Gerwin K. Spijksma
Gerwin K. Spijksma is a scholar working on Pharmacology, Rheumatology, Spectroscopy, Molecular Biology and Physiology, having authored 10 papers that have together received 661 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Multiple Sclerosis Research Studies (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Genomics and Phylogenetic Studies (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Spectroscopy (143 citations), Pharmacology (62 citations), Molecular Biology (452 citations), Nephrology (37 citations) and Biochemistry (38 citations). Gerwin K. Spijksma has collaborated with scholars based in Netherlands, China and Ireland. Frequent co-authors include J. van der Greef, Thomas Hankemeier, Theo H Reijmers, Mei Wang, Rob van der Heijden, Guowang Xu, Robert van der Heijden, Chunxiu Hu, Jack Vogels and Elizabeth A. Slee. Their work appears in journals such as Journal of Chromatography A, Journal of Proteome Research, Journal of Bacteriology, Phytochemistry and Journal of the Neurological 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.