J.C. Baehr

626 citations
25 papers · 449 · h-index 13

Impact in

Papers in

J.C. Baehr

25 papers receiving 434 citations

Peers

J.C. Baehr
Comparison fields: 5 of 48
  • Insect Science 265
  • Cellular and Molecular Neuroscience 296
  • Genetics 261
  • Ecology, Evolution, Behavior and Systematics 148
  • Aquatic Science 13
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Louis Safranek United States
Koichiro J. Yagi Canada
Govindan Bhaskaran United States
Shigemi YAGI Japan
M. G. Campbell United States
Franz Römer Germany
Pnina Moshitzky Israel
Beth Sage United Kingdom
Jaroslava Malá Czechia
Ekaterina F. Hult Canada
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Citations per year

Countries citing papers authored by J.C. Baehr

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Baehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Baehr. 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 J.C. Baehr. The network helps show where J.C. Baehr may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197959
2 198842
3 197938
4 197633
5 197331
6 199730
7 199029
8 198229
9 198327
10 197917
11 198516
12 198216
13 197412
14
Insect juvenile hormone research : fundamental and applied approaches : chemistry, biochemistry and mode of action
199211
15 197611
16 199411
17 19879
18 19897
19 19826
20 19965

About J.C. Baehr

J.C. Baehr is a scholar working on Cellular and Molecular Neuroscience, Genetics, Insect Science, Ecology, Evolution, Behavior and Systematics and Plant Science, having authored 25 papers that have together received 449 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (18 papers), Insect and Arachnid Ecology and Behavior (12 papers), Insect Utilization and Effects (9 papers), Insect and Pesticide Research (3 papers), Physiological and biochemical adaptations (3 papers), Aquaculture Nutrition and Growth (3 papers), Insect Pest Control Strategies (3 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Insect Science (265 citations), Cellular and Molecular Neuroscience (296 citations), Genetics (261 citations), Ecology, Evolution, Behavior and Systematics (148 citations) and Aquatic Science (13 citations). J.C. Baehr has collaborated with scholars based in France, Spain and Norway. Frequent co-authors include P. Porcheron, F. Dray, Pierre Cassier, Mireille Lafon‐Cazal, J. Huignard, N. Mandon, Marie Trabalon, P. Pradelles, P. Pradelles and Bernard Mauchamp. Their work appears in journals such as Cellular and Molecular Life Sciences, Journal of Insect Physiology, General and Comparative Endocrinology, FEBS Letters and Entomologia Experimentalis et Applicata.

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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