A.L.G. Schuurmans

810 citations
12 papers · 726 · h-index 11

Impact in

Papers in

A.L.G. Schuurmans

12 papers receiving 683 citations

Peers

A.L.G. Schuurmans
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 264
  • Pulmonary and Respiratory Medicine 287
  • Genetics 187
  • Cancer Research 66
  • Molecular Biology 242
Replace Chawnshang Chang with:
Chawnshang Chang United States
G. S. Prins United States
Subhadra Banerjee United States
Akinori Ishihara Japan
A C Syvänen Finland
Michael E. Fant United States
Linda Siconolfi-Baez United States
E M Wilson United States
C Jean France
Christoph Geserick Spain
A.L.G. Schuurmans relative to Chawnshang Chang United States Chawnshang Chang's profile →
Citations per field
00.5×1.5×
Chawnshang Chang · 1×
Citations per year

Countries citing papers authored by A.L.G. Schuurmans

Since Specialization
Citations

This map shows the geographic impact of A.L.G. Schuurmans'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 A.L.G. Schuurmans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.L.G. Schuurmans more than expected).

Fields of papers citing papers by A.L.G. Schuurmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.L.G. Schuurmans. 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 A.L.G. Schuurmans. The network helps show where A.L.G. Schuurmans may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1988136
2 1988129
3 1992111
4 199174
5 198857
6 199054
7 199046
8
Diet shifts, feeding efficiency and coexistence of bream (Abramis brama), roach (Rutilus rutilus) and white bream (Blicca bjoerkna) in hypertrophic lakes
198736
9 201034
10 198928
11 198820
12 20101

About A.L.G. Schuurmans

A.L.G. Schuurmans is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Genetics, Spectroscopy and Nature and Landscape Conservation, having authored 12 papers that have together received 726 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Estrogen and related hormone effects (4 papers), Hormonal and reproductive studies (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Fish Biology and Ecology Studies (1 paper), Neurobiology and Insect Physiology Research (1 paper), Water Quality and Pollution Assessment (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (264 citations), Pulmonary and Respiratory Medicine (287 citations), Genetics (187 citations), Cancer Research (66 citations) and Molecular Biology (242 citations). A.L.G. Schuurmans has collaborated with scholars based in Netherlands, United States and South Korea. Frequent co-authors include Eppo Mulder, J. Bolt, E. Mulder, Jos Veldscholte, Marleen Voorhorst, S. C. van Buul-Offers, B.J.M. Zegers, Cobi J. Heijnen, Ron Kooijman and G T Rijkers. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Endocrinology, Journal of Insect Physiology, International Journal of Cancer and Molecular and Cellular Endocrinology.

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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