J. E. Campbell

864 citations
30 papers · 723 · h-index 12

Impact in

Papers in

    • Radiation Effects and Dosimetry 5
    • Salmonella and Campylobacter epidemiology 3
    • Nuclear Physics and Applications 4

J. E. Campbell

25 papers receiving 576 citations

Peers

J. E. Campbell
Comparison fields: 5 of 114
  • Environmental Chemistry 152
  • Biotechnology 90
  • Food Science 154
  • Clinical Biochemistry 32
  • Endocrinology 25
Replace Leo G. Leduc with:
Leo G. Leduc Canada
Luis E. Jimenez United States
Shane M. Powell Australia
Mervyn Franklin Canada
В. И. Дуда Russia
Robert J. Heckly United States
Alexander M. Boronin Russia
Buck T. Hanson United States
Nicholas B. Justice United States
Robert H. Bordner United States
J. E. Campbell relative to Leo G. Leduc Canada Leo G. Leduc's profile →
Citations per field
00.5×2×3×4×4.6×
Leo 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 17 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 1973161
2 1965151
3 197390
4 197647
5 195747
6 197731
7 196127
8 196225
9 195924
10 195920
11 195815
12 197713
13 196011
14 196011
15 19608
16 19568
17 19616
18 19665
19 19645
20 19595

About J. E. Campbell

J. E. Campbell is a scholar working on Food Science, Radiation, Radiological and Ultrasound Technology, Animal Science and Zoology and Toxicology, having authored 30 papers that have together received 723 indexed citations. Recurring topics across this work include Radiation Effects and Dosimetry (5 papers), Nuclear Physics and Applications (4 papers), Radioactive contamination and transfer (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Meat and Animal Product Quality (3 papers), Radioactivity and Radon Measurements (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Marine Toxins and Detection Methods (2 papers). The work is most often cited by research in Environmental Chemistry (152 citations), Biotechnology (90 citations), Food Science (154 citations), Clinical Biochemistry (32 citations) and Endocrinology (25 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, William B. Wilson, ABRAHAM S. GOLDIN, Edmund B. Masurovsky and Locke F. Edmondson. 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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