J. E. Campbell

863 citations
30 papers · 624 · h-index 12

Impact in

Papers in

J. E. Campbell

27 papers receiving 517 citations

Peers

J. E. Campbell
Comparison fields: 5 of 109
  • Environmental Chemistry 128
  • Biotechnology 70
  • Food Science 135
  • Endocrinology 24
  • Clinical Biochemistry 29
Replace L.G. Leduc with:
L.G. Leduc Canada
B. J. Tindall Germany
A.G. Netting Australia
Avinash V. Karpe Australia
Nicholas B. Justice United States
Robert J. Heckly United States
C. M. Gilmour United States
F. Torrella Spain
В. И. Дуда Russia
Cristian Coman Romania
J. E. Campbell relative to L.G. Leduc Canada L.G. Leduc's profile →
Citations per field
00.5×4.1×
L.G. Leduc · 1×
Citations per year

Countries citing papers authored by J. E. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973142
2 1965127
3 197375
4 195743
5 197638
6 197724
7 196224
8 196123
9 195923
10 195919
11 197713
12 195811
13 19609
14 19607
15 19566
16 19616
17 19606
18 19595
19 19645
20 19665

About J. E. Campbell

J. E. Campbell is a scholar working on Food Science, Global and Planetary Change, Radiation, Molecular Biology and Radiological and Ultrasound Technology, having authored 30 papers that have together received 624 indexed citations. Recurring topics across this work include Radiation Effects and Dosimetry (5 papers), Radioactive contamination and transfer (4 papers), Nuclear Physics and Applications (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Radioactivity and Radon Measurements (3 papers), Marine Toxins and Detection Methods (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Milk Quality and Mastitis in Dairy Cows (2 papers). The work is most often cited by research in Environmental Chemistry (128 citations), Biotechnology (70 citations), Food Science (135 citations), Endocrinology (24 citations) and Clinical Biochemistry (29 citations). J. E. Campbell has collaborated with scholars based in United States. Frequent co-authors include J. E. Gilchrist, J.T. Peeler, C. B. Donnelly, G.K. Murthy, Keith H. Lewis, Earl F. McFarren, W.B. Wilson, Abraham Goldin, E. B. Masurovsky and C. P. Straub. Their work appears in journals such as Journal of Dairy Science, Radiation Research, Applied and Environmental Microbiology, Science and Reviews of Environmental Contamination and Toxicology.

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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