Gerwin Spijksma

758 citations
10 papers · 607 · h-index 10

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

Gerwin Spijksma

10 papers receiving 601 citations

Peers

Gerwin Spijksma
Comparison fields: 5 of 85
  • Spectroscopy 131
  • Pharmacology 58
  • Molecular Biology 416
  • Nephrology 36
  • Biochemistry 35
Replace Frans van der Kloet with:
Frans van der Kloet Netherlands
Serhiy Hnatyshyn United States
Linda Kortz Germany
Robert‐Jan A. N. Lamers Netherlands
Clare A. Daykin United Kingdom
Jean-Pierre Provost United States
Sara Forcisi Germany
Timothy Sangster United Kingdom
Gui-Zhong Xin China
D.R. Moore United States
Gerwin Spijksma relative to Frans van der Kloet Netherlands Frans van der Kloet's profile →
Citations per field
00.5×4.5×
Frans van der Kloet · 1×
Citations per year

Countries citing papers authored by Gerwin Spijksma

Since Specialization
Citations

This map shows the geographic impact of Gerwin 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 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 Spijksma more than expected).

Fields of papers citing papers by Gerwin Spijksma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerwin 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 Spijksma. The network helps show where Gerwin Spijksma may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerwin Spijksma, 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 Gerwin Spijksma Line = papers co-authored together Gerwin Spijksma links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2008140
2 2011129
3 201173
4 200867
5 200364
6 200343
7 200937
8 201824
9 201518
10 201112

About Gerwin Spijksma

Gerwin Spijksma is a scholar working on Molecular Biology, Pharmacology, Rheumatology, Spectroscopy and Nephrology, having authored 10 papers that have together received 607 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Systemic Lupus Erythematosus Research (1 paper), Muscle metabolism and nutrition (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Spectroscopy (131 citations), Pharmacology (58 citations), Molecular Biology (416 citations), Nephrology (36 citations) and Biochemistry (35 citations). Gerwin Spijksma has collaborated with scholars based in Netherlands, China and Finland. Frequent co-authors include J. van der Greef, Thomas Hankemeier, Theo Reijmers, Mei Wang, Rob van der Heijden, Guowang Xu, Chunxiu Hu, Xin Lü, Elizabeth A. Slee and Jack Vogels. Their work appears in journals such as Journal of Chromatography A, Journal of Nutrition, Journal of the Neurological Sciences, Metabolomics and PLoS ONE.

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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