J. A. Campbell

5.8k total citations · 1 hit paper
285 papers, 3.8k citations indexed

About

J. A. Campbell is a scholar working on Nutrition and Dietetics, Physiology and Surgery. According to data from OpenAlex, J. A. Campbell has authored 285 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Nutrition and Dietetics, 32 papers in Physiology and 28 papers in Surgery. Recurrent topics in J. A. Campbell's work include Muscle metabolism and nutrition (21 papers), Fatty Acid Research and Health (19 papers) and Diet and metabolism studies (18 papers). J. A. Campbell is often cited by papers focused on Muscle metabolism and nutrition (21 papers), Fatty Acid Research and Health (19 papers) and Diet and metabolism studies (18 papers). J. A. Campbell collaborates with scholars based in United Kingdom, United States and Canada. J. A. Campbell's co-authors include D. G. Chapman, A. B. Morrison, Joyce L. Beare, T. K. Murray, Mary Cooke, P. M. Smythe, Massimo Leandri, David Bowsher, Ralph E. Kirsch and A. Swanepoel and has published in prestigious journals such as Nature, New England Journal of Medicine and JAMA.

In The Last Decade

J. A. Campbell

266 papers receiving 3.3k citations

Hit Papers

EVALUATION OF PROTEIN IN FOODS: 1. A METHOD FOR THE DETER... 1959 2026 1981 2003 1959 50 100 150 200

Peers

J. A. Campbell
Comparison fields: 5 of 217
  • Nutrition and Dietetics 491
  • Surgery 408
  • Physiology 402
  • Molecular Biology 389
  • Plant Science 250
Replace Richard G. Cornell with:
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Hiroyuki Noda Japan
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Richard G. Cornell United States View profile →
Citations per field, relative to J. A. Campbell
J. A. Campbell · 1×
Citations per year, relative to J. A. Campbell
J. A. Campbell · 1×

Countries citing papers authored by J. A. Campbell

Since Specialization
Citations

This map shows the geographic impact of J. A. 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. A. 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. A. Campbell more than expected).

Fields of papers citing papers by J. A. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. A. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Campbell. A scholar is included among the top collaborators of J. A. Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. A. Campbell. J. A. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 9
4 0
5 1
6
Improved harvest and desapping practices affect mango fruit quality along the supply chains.
6
7 19
8 73
9
Hylan G-F 20 (Synvisc) versus placebo: Cochrane Review 2005
3
10
Selecting Filter Banks to Enhance Evoked Potentials Recordings Using Evolutionary Algorithms
2
11
Automated Alignment in Multilingual Corpora
0
12
A caching scheme for time-critical knowledge-based computations
2
13
Architectures for artificial intelligence
2
14 9
15 4
16 4
17
Measurement of alpha-amylase in grains.
1
18 33
19 15
20 10

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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