MICHAEL C. BARBER

2.1k citations
42 papers · 1.7k · h-index 23

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 16
    • Metabolism, Diabetes, and Cancer 4
    • Adipose Tissue and Metabolism 13

MICHAEL C. BARBER

42 papers receiving 1.6k citations

Peers

MICHAEL C. BARBER
Comparison fields: 5 of 91
  • Biochemistry 239
  • Agronomy and Crop Science 297
  • Nutrition and Dietetics 369
  • Endocrinology, Diabetes and Metabolism 340
  • Biological Psychiatry 44
Replace Hang Pham with:
Hang Pham United States
Thomas Laeger Germany
Sebastian I. Arriola Apelo United States
Joseph Orly Israel
Maureen T. Travers United Kingdom
Véronique Douard France
Tong‐Jin Zhao China
M. Martín Argentina
Iwona Bogacka Poland
Ignacio González United States
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Citations per field
00.5×6.2×
Hang Pham · 1×
Citations per year

Countries citing papers authored by MICHAEL C. BARBER

Since Specialization
Citations

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

Fields of papers citing papers by MICHAEL C. BARBER

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997209
2 2004138
3 1997130
4 1996101
5 2002101
6 199892
7 199279
8 200574
9 200464
10 200064
11 200360
12 200155
13 200344
14 200143
15 199738
16 199237
17 199835
18 200234
19 199133
20 200329

About MICHAEL C. BARBER

MICHAEL C. BARBER is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Genetics, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (16 papers), Adipose Tissue and Metabolism (13 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Fatty Acid Research and Health (6 papers), Digestive system and related health (5 papers), Metabolism and Genetic Disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Biochemistry (239 citations), Agronomy and Crop Science (297 citations), Nutrition and Dietetics (369 citations), Endocrinology, Diabetes and Metabolism (340 citations) and Biological Psychiatry (44 citations). MICHAEL C. BARBER has collaborated with scholars based in United Kingdom, France and Australia. Frequent co-authors include Maureen T. Travers, M T Travers, Richard G. Vernon, ROGER A. CLEGG, D. J. Flint, Elizabeth Tonner, Nigel T. Price, D.B. Shennan, J. Thomson and E Finley. Their work appears in journals such as Biochemical Society Transactions, Biochemical Journal, Endocrinology, Biochimica et Biophysica Acta (BBA) - Biomembranes and Journal of 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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