J. M. King

73 papers receiving 1.3k citations

Peers

J. M. King
Comparison fields: 5 of 141
  • Chemical Health and Safety 62
  • Equine 58
  • Cancer Research 370
  • Small Animals 165
  • Health, Toxicology and Mutagenesis 288
Replace Jiřı́ Rubeš with:
Jiřı́ Rubeš Czechia
Lennart Andersson Sweden
Cheryl Ashworth United Kingdom
Ping Yan China
Jonathan R. Hill United States
T.S. Gross United States
H. Craig Morton Norway
David Miller United Kingdom
David G. Riley United States
B. W. Hess United States
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Citations per field
00.5×7.8×
Jiřı́ Rubeš · 1×
Citations per year

Countries citing papers authored by J. M. King

Since Specialization
Citations

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

Fields of papers citing papers by J. M. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 200866
3
The concept and calculation of net benefits from goats in Ethiopian smallholdings
20042
4
Do smallholder farmers benefit more from crossbred (Somali X Anglo-Nubian) than from indigenous goats?
200025
5 200052
6 199814
7 19948
8 199321
9 19916
10 198911
11 198811
12 198814
13 198815
14 19888
15 19821
16 198221
17 198120
18 197812
19 197624
20 197574

About J. M. King

J. M. King is a scholar working on Small Animals, Equine, Management, Monitoring, Policy and Law, Animal Science and Zoology and Cancer Research, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (12 papers), Rangeland Management and Livestock Ecology (11 papers), Genetic and phenotypic traits in livestock (6 papers), Pesticide Exposure and Toxicity (5 papers), Toxic Organic Pollutants Impact (5 papers), Animal Diversity and Health Studies (5 papers), Animal Virus Infections Studies (4 papers) and Veterinary Oncology Research (4 papers). The work is most often cited by research in Chemical Health and Safety (62 citations), Equine (58 citations), Cancer Research (370 citations), Small Animals (165 citations) and Health, Toxicology and Mutagenesis (288 citations). J. M. King has collaborated with scholars based in United States, Germany and Kenya. Frequent co-authors include L.J. Sullivan, C.P. Carpenter, D.L. Geary, E.R. Kinkead, Barbara Rischkowsky, E. Bruns, W. Ayalew, Wayne I. Anderson, Bud C. Tennant and Lois Roth. Their work appears in journals such as Toxicology and Applied Pharmacology, Veterinary Pathology, The Journal of Agricultural Science, Journal of the American Veterinary Medical Association and Agricultural Systems.

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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