Jan Koolman

2.4k citations
69 papers · 2.1k · h-index 27

Impact in

Papers in

Jan Koolman

67 papers receiving 1.9k citations

Peers

Jan Koolman
Comparison fields: 5 of 107
  • Insect Science 994
  • Cellular and Molecular Neuroscience 1.4k
  • Biochemistry 174
  • Genetics 529
  • Ecology, Evolution, Behavior and Systematics 242
Replace J. N. Kaplanis with:
J. N. Kaplanis United States
Catherine Blais France
Haruo Chino Japan
W. E. Robbins United States
William S. Bowers United States
D. H. S. Horn Australia
Larry L. Keeley United States
B. John Bergot United States
Sami Ahmad United States
Karl H. Dahm United States
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Citations per field
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J. N. Kaplanis · 1×
Citations per year

Countries citing papers authored by Jan Koolman

Since Specialization
Citations

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

Fields of papers citing papers by Jan Koolman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ecdysone : from chemistry to mode of action
1989462
2 1982100
3 200498
4 197491
5 198362
6 197357
7 197955
8 197845
9 200744
10 199544
11 197944
12 197342
13 197737
14 198136
15 198836
16 197733
17 197532
18
Taschenatlas der biochemie
199431
19 197431
20 197731

About Jan Koolman

Jan Koolman is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (49 papers), Insect Utilization and Effects (33 papers), Insect and Arachnid Ecology and Behavior (22 papers), Insect and Pesticide Research (11 papers), Insect behavior and control techniques (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Parasites and Host Interactions (3 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Insect Science (994 citations), Cellular and Molecular Neuroscience (1.4k citations), Biochemistry (174 citations), Genetics (529 citations) and Ecology, Evolution, Behavior and Systematics (242 citations). Jan Koolman has collaborated with scholars based in Germany, France and United States. Frequent co-authors include П. Карлсон, J. Becker, Klaus‐Heinrich Röhm, René Lafont, Michael Lehmann, Klaus‐Dieter Spindler, Pierre Joly, Yuejin Hua, Hans J. Bidmon and Dietrich Bodenstein. Their work appears in journals such as Archives of Insect Biochemistry and Physiology, Cellular and Molecular Life Sciences, Journal of Insect Physiology, Insect Biochemistry and Molecular Biology and European Journal of Biochemistry.

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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