J. C. Brown

1.3k citations
34 papers · 1.1k indexed · h-index 17

Impact in

Papers in

J. C. Brown

33 papers receiving 998 citations

Peers

J. C. Brown
Comparison fields: 5 of 123
  • Nutrition and Dietetics 259
  • Endocrinology, Diabetes and Metabolism 265
  • Oral Surgery 60
  • Physiology 161
  • Soil Science 57
Replace Maria Carelli with:
Maria Carelli Italy
Tadashi Kato Japan
D. D. S. Mackenzie New Zealand
Xiaocun Sun United States
Edward J. Peters United States
Wilson G. Pond United States
Dwayne W. Hamar United States
Michio Fukuda Japan
Valdemir Melechco Carvalho Brazil
Yu Zhou China
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Citations per field
00.5×8.6×
Maria Carelli · 1×
Citations per year

Countries citing papers authored by J. C. Brown

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20152
2 201025
3 20078
4 200460
5 200353
6 200149
7 200115
8 199812
9 199813
10 1996133
11
Is the rat a suitable model for humans on studies of cereal digestion?
19965
12 199528
13 199461
14 199424
15 19941
16
Inhibitory effect of neuropeptide Y and its analogues on inositol 1,4,5-trisphosphate level in rat cardiomyocytes.
19938
17 199134
18 199011
19 1989126
20 19891

About J. C. Brown

J. C. Brown is a scholar working on Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism, Physiology, Forestry and Food Science, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diet and metabolism studies (7 papers), Food composition and properties (4 papers), Polysaccharides Composition and Applications (3 papers), Fatty Acid Research and Health (3 papers), Diet, Metabolism, and Disease (3 papers), Cancer, Lipids, and Metabolism (2 papers), Menstrual Health and Disorders (2 papers) and Soil erosion and sediment transport (2 papers). The work is most often cited by research in Nutrition and Dietetics (259 citations), Endocrinology, Diabetes and Metabolism (265 citations), Oral Surgery (60 citations), Physiology (161 citations) and Soil Science (57 citations). J. C. Brown has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Geoffrey Livesey, Ian T. Johnson, Elizabeth K. Lund, David A. Hughes, I. R. Davies, Julia M.W. Gee, Jean‐Louis Janeau, Pascal Podwojewski, P. J. Wood and Séraphine Grellier. Their work appears in journals such as British Journal Of Nutrition, Journal of Nutrition, American Journal of Clinical Nutrition, Gastroenterology and Australian and New Zealand Journal of Obstetrics and Gynaecology.

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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