Jan Koolman

2.4k citations
63 papers · 1.7k · h-index 24

Impact in

Papers in

Jan Koolman

60 papers receiving 1.6k citations

Peers

Jan Koolman
Comparison fields: 5 of 106
  • Insect Science 819
  • Cellular and Molecular Neuroscience 1.1k
  • Biochemistry 114
  • Genetics 447
  • Aquatic Science 82
Replace J. N. Kaplanis with:
J. N. Kaplanis United States
F. C. Baker United States
W. E. Robbins United States
D. H. S. Horn Australia
G. T. Brooks United Kingdom
Karl H. Dahm United States
Sami Ahmad United States
Fred C. Baker United States
Paweł Marciniak Poland
Jonathan David United Kingdom
Jan Koolman relative to J. N. Kaplanis United States J. N. Kaplanis's profile →
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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ecdysone : from chemistry to mode of action
1989417
2 200492
3 198285
4 197477
5 198351
6 197350
7 200744
8 197943
9 199538
10 197937
11 197333
12 198132
13 197732
14 197831
15
Taschenatlas der biochemie
199430
16 197729
17 198829
18 197527
19 198626
20 197425

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 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (45 papers), Insect Utilization and Effects (30 papers), Insect and Arachnid Ecology and Behavior (21 papers), Insect and Pesticide Research (10 papers), Free Radicals and Antioxidants (3 papers), Plant and animal studies (3 papers), Insect behavior and control techniques (3 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Insect Science (819 citations), Cellular and Molecular Neuroscience (1.1k citations), Biochemistry (114 citations), Genetics (447 citations) and Aquatic Science (82 citations). Jan Koolman has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include П. Карлсон, J. Becker, Klaus‐Heinrich Röhm, Jean‐Sèbastien Hoffmann, Michael Lehmann, Klaus‐Dieter Spindler, Pierre Joly, Ulrich Weser, Yuejin Hua and Hans J. Bidmon. 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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