K.J. Farmer

944 citations
18 papers · 788 · h-index 15

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Nephrology top 5%
    • Dialysis and Renal Disease Management

Papers in

K.J. Farmer

18 papers receiving 768 citations

Peers

K.J. Farmer
Comparison fields: 5 of 90
  • Aging 174
  • Nephrology 159
  • Health, Toxicology and Mutagenesis 123
  • Physiology 178
  • Insect Science 91
Replace Daniele La Russa with:
Daniele La Russa Italy
Emine Sunal Türkiye
H. A. Bertrand United States
Joan Prat Spain
R. Gerschman United States
Zhirong Jiang United States
Bohdana M. Rovenko Ukraine
Juan Juan Chen United States
Amanda S. Bess United States
Erning Xia United States
K.J. Farmer relative to Daniele La Russa Italy Daniele La Russa's profile →
Citations per field
00.5×8.3×
Daniele La Russa · 1×
Citations per year

Countries citing papers authored by K.J. Farmer

Since Specialization
Citations

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

Fields of papers citing papers by K.J. Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside K.J. Farmer, 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 K.J. Farmer Line = papers co-authored together K.J. Farmer links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2002232
2 198378
3 198972
4 198464
5 198454
6 198451
7 198536
8 198728
9 198427
10 198525
11 198724
12 198520
13 198417
14 198516
15 198715
16 198614
17 198512
18 19993

About K.J. Farmer

K.J. Farmer is a scholar working on Aging, Health, Toxicology and Mutagenesis, Insect Science, Cellular and Molecular Neuroscience and Plant Science, having authored 18 papers that have together received 788 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Environmental Toxicology and Ecotoxicology (8 papers), Insect Utilization and Effects (5 papers), Neurobiology and Insect Physiology Research (4 papers), Insect and Pesticide Research (4 papers), Insect Pest Control Strategies (3 papers), Pesticide and Herbicide Environmental Studies (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Aging (174 citations), Nephrology (159 citations), Health, Toxicology and Mutagenesis (123 citations), Physiology (178 citations) and Insect Science (91 citations). K.J. Farmer has collaborated with scholars based in United States. Frequent co-authors include Rajindar S. Sohal, Robert G. Allen, Ronald K. Newton, Lara B. Pupim, Paul J. Flakoll, T. Alp İkizler, Deanna K. Levenhagen, Raymond M. Hakim, John R. Brouillette and Nadia Cohen. Their work appears in journals such as Mechanisms of Ageing and Development, Experimental Gerontology, Cell Proliferation, Cellular and Molecular Life Sciences and Free Radical Biology and Medicine.

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.

Explore authors with similar magnitude of impact