J Digby

11 papers receiving 953 citations

Peers

J Digby
Comparison fields: 5 of 69
  • Physiology 560
  • Endocrine and Autonomic Systems 115
  • Epidemiology 459
  • Endocrinology, Diabetes and Metabolism 127
  • Molecular Biology 421
Replace C P Sewter with:
C P Sewter United Kingdom
Perla Saint-Marc France
Jianrong Han United States
Margaret E. Griffin United States
Stella Dzienis-Straczkowska Poland
Tania Quesada‐López Spain
Jasmine Bahrami Canada
A. Volk Germany
Montserrat Cairó Spain
Carla Roberts‐Toler United States
J Digby relative to C P Sewter United Kingdom C P Sewter's profile →
Citations per field
00.5×1.5×
C P Sewter · 1×
Citations per year

Countries citing papers authored by J Digby

Since Specialization
Citations

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

Fields of papers citing papers by J Digby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1997426
2 1998275
3 1999121
4 199892
5 199933
6 200025
7
Orexin receptor expression in human adipose tissue: differential effects of orexins
20063
8 20082
9
Upregulation of adiponectin receptors in human adipose tissue from women with the polycystic ovary syndrome(PCOS)
20051
10
Thiazolidinediones promote the differentiation of human brown preadipocytes in vitro.
19971
11
Differences in morphological characteristics and macrophages infiltration account for the differential responses of distinct adipose tissue depots to systemic inflammation in IHD patients
20141

About J Digby

J Digby is a scholar working on Epidemiology, Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology and Immunology, having authored 11 papers that have together received 980 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (4 papers), Cardiovascular Disease and Adiposity (3 papers), Ovarian function and disorders (1 paper), Prostate Cancer Treatment and Research (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Animal Disease Management and Epidemiology (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Physiology (560 citations), Endocrine and Autonomic Systems (115 citations), Epidemiology (459 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Molecular Biology (421 citations). J Digby has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Stephen O’Rahilly, Johannes B. Prins, C P Sewter, Laura Sanders, Elizabeth Montague, Stephen A. Smith, Krishna Chatterjee, Mitchell A. Lazar, Julie C. Holder and Matthew Adams. Their work appears in journals such as Diabetes, European Heart Journal, Diabetologia, Journal of Clinical Investigation and International Journal of Obesity.

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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