Janet E. Digby

44 papers receiving 6.4k citations

Janet E. Digby's Hit Papers

Detecting human coronary inflammation by imaging perivascular fat 2017 · 821 citations
8210+9+19Years since publication50010001.5k2.0k

Peers

Janet E. Digby
Comparison fields: 5 of 89
  • Endocrine and Autonomic Systems 1.1k
  • Cardiology and Cardiovascular Medicine 849
  • Reproductive Medicine 212
  • Epidemiology 502
  • Geriatrics and Gerontology 47
Replace Paolo Marzullo with:
Paolo Marzullo Italy
Masao Moroi Japan
PASCAL H. NICOD Switzerland
Anton Luger Austria
Wei‐Shiung Yang Taiwan
Yue Qi China
Ole Schmitz Denmark
Alex M. DePaoli United States
Joseph A.M.J.L. Janssen Netherlands
Stephen J. Ellis United States
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Citations per field
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Citations per year

Countries citing papers authored by Janet E. Digby

Since Specialization
Citations

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

Fields of papers citing papers by Janet E. Digby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Congenital leptin deficiency is associated with severe early-onset obesity in humans
Hit paper breakdown →
19972369
2
Detecting human coronary inflammation by imaging perivascular fat
Hit paper breakdown →
2017821
3 1997490
4 2013305
5 2006231
6 2014216
7 2009209
8 2012185
9 2007138
10 1998121
11 2011105
12 2009104
13 2014100
14 201495
15 200693
16 201591
17 200987
18 201786
19 200677
20 201367

About Janet E. Digby

Janet E. Digby is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Surgery, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 45 papers that have together received 6.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Cardiovascular Disease and Adiposity (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Extracellular vesicles in disease (2 papers), Cholesterol and Lipid Metabolism (2 papers), Pancreatic function and diabetes (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Cardiology and Cardiovascular Medicine (849 citations), Reproductive Medicine (212 citations), Epidemiology (502 citations) and Geriatrics and Gerontology (47 citations). Janet E. Digby has collaborated with scholars based in United Kingdom, Greece and Italy. Frequent co-authors include Carl T. Montague, Johannes B. Prins, Stephen O’Rahilly, Ciaran P. Sewter, Robin P. Choudhury, Jane A. Hurst, Anthony H Barnett, Jonathan P. Whitehead, Nicholas J. Wareham and Maria A. Soos. Their work appears in journals such as Circulation, Heart, Arteriosclerosis Thrombosis and Vascular Biology, Diabetes and Diabetes and Vascular Disease Research.

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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