John Barton

2.2k citations
25 papers · 610 · h-index 13

Impact in

Papers in

John Barton

24 papers receiving 571 citations

Peers

John Barton
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 294
  • Cardiology and Cardiovascular Medicine 169
  • Nutrition and Dietetics 49
  • Genetics 53
  • Pediatrics, Perinatology and Child Health 32
Replace Giovanni Di Cola with:
Giovanni Di Cola Italy
Hongye Zhang China
Guido Lombardi Italy
Giorgio Colombo Italy
Jin Sha United States
Barbara A. Baker United States
Jakob Hauge Mikkelsen Denmark
Cynthia E. Shaw United States
Mónica Recasens Spain
Haruko Watanabe Japan
John Barton relative to Giovanni Di Cola Italy Giovanni Di Cola's profile →
Citations per field
00.5×4.9×
Giovanni Di Cola · 1×
Citations per year

Countries citing papers authored by John Barton

Since Specialization
Citations

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

Fields of papers citing papers by John Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Barton. 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 John Barton. The network helps show where John Barton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006140
2 200586
3 199469
4 201739
5 200232
6 199528
7 199628
8 199326
9 201123
10 201919
11 200114
12 201014
13 199513
14 201911
15 20138
16 20198
17 20088
18 20188
19 19738
20 20078

About John Barton

John Barton is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Epidemiology, Global and Planetary Change and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 610 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Thyroid Disorders and Treatments (4 papers), Marine and fisheries research (3 papers), Congenital Heart Disease Studies (3 papers), Blood Pressure and Hypertension Studies (2 papers), Neonatal Health and Biochemistry (2 papers), Hormonal Regulation and Hypertension (2 papers) and Marine Bivalve and Aquaculture Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (294 citations), Cardiology and Cardiovascular Medicine (169 citations), Nutrition and Dietetics (49 citations), Genetics (53 citations) and Pediatrics, Perinatology and Child Health (32 citations). John Barton has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Peter C. Hindmarsh, M A Preece, David Mulcahy, Juerg Nussberger, C. Jensen, Alice Stanton, Patrick Dicker, Eoin OʼBrien, Charles M. Scrimgeour and Michael J. Rennie. Their work appears in journals such as Archives of Disease in Childhood, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Hormone Research in Paediatrics, Aquatic Conservation Marine and Freshwater Ecosystems and Clinical Endocrinology.

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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