Dan E. Farnsworth

1.0k citations
23 papers · 930 · h-index 16

Impact in

Papers in

Dan E. Farnsworth

23 papers receiving 869 citations

Peers

Dan E. Farnsworth
Comparison fields: 5 of 61
  • Insect Science 520
  • Cellular and Molecular Neuroscience 581
  • Genetics 276
  • Pharmacology 58
  • Health, Toxicology and Mutagenesis 86
Replace Koichi Suzuki with:
Koichi Suzuki Japan
Aparna Dutta‐Gupta India
Cháriston André Dal Belo Brazil
Eckehard Baumann Germany
Steven J. Saul United States
Günter F. Weirich United States
Morton S. Fuchs United States
L.M. Birt Australia
Mark R. Rheault Canada
Annick Maria France
Dan E. Farnsworth relative to Koichi Suzuki Japan Koichi Suzuki's profile →
Citations per field
00.5×4.8×
Koichi Suzuki · 1×
Citations per year

Countries citing papers authored by Dan E. Farnsworth

Since Specialization
Citations

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

Fields of papers citing papers by Dan E. Farnsworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan E. Farnsworth. 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 Dan E. Farnsworth. The network helps show where Dan E. Farnsworth may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989202
2 1991185
3 1989129
4 199060
5 198750
6 198131
7 198728
8 198728
9 198628
10 199027
11 198521
12 199120
13 198519
14 198718
15 198415
16 198715
17 198513
18 198812
19 198812
20 19806

About Dan E. Farnsworth

Dan E. Farnsworth is a scholar working on Insect Science, Cellular and Molecular Neuroscience, Genetics, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 23 papers that have together received 930 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (14 papers), Insect Utilization and Effects (11 papers), Insect and Arachnid Ecology and Behavior (10 papers), Insect and Pesticide Research (9 papers), Insects and Parasite Interactions (4 papers), Insect Resistance and Genetics (4 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Insect Science (520 citations), Cellular and Molecular Neuroscience (581 citations), Genetics (276 citations), Pharmacology (58 citations) and Health, Toxicology and Mutagenesis (86 citations). Dan E. Farnsworth has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include René Feyereisen, G. E. Pratt, Kam F. Fok, Ned R. Siegel, Daniel W. Nebert, J. F. Koener, Donald F. Hunt, Jeffrey Shabanowitz, Ashley L. McCormack and L. C. Terriere. Their work appears in journals such as Pesticide Biochemistry and Physiology, Molecular and Cellular Endocrinology, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Archives of Insect Biochemistry and Physiology.

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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