Joanne E. Curran

187 papers receiving 5.7k citations

Peers

Joanne E. Curran
Comparison fields: 5 of 154
  • Biological Psychiatry 146
  • Genetics 1.5k
  • Molecular Biology 2.3k
  • Physiology 809
  • Endocrinology, Diabetes and Metabolism 501
Replace Thomas D. Dyer with:
Thomas D. Dyer United States
Josep M. Mercader Spain
Ian N.M. Day United Kingdom
Li Liu China
Patrick B. Allen United States
Xia Yang United States
Harald H.H. Göring United States
Joab Chapman Israel
Thomas C. Register United States
Joanne E. Curran relative to Thomas D. Dyer United States Thomas D. Dyer's profile →
Citations per field
00.5×1.5×2.1×
Thomas D. Dyer · 1×
Citations per year

Countries citing papers authored by Joanne E. Curran

Since Specialization
Citations

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

Fields of papers citing papers by Joanne E. Curran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007355
2 2005293
3 2013290
4 2013235
5 2009212
6 2010187
7 2011147
8 1999134
9 2011125
10 2015108
11 201294
12 201380
13 201079
14 200075
15 201372
16 201570
17 201569
18 201166
19 201165
20 200564

About Joanne E. Curran

Joanne E. Curran is a scholar working on Molecular Biology, Genetics, Epidemiology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 197 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (45 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers), Adipose Tissue and Metabolism (15 papers), Advanced Neuroimaging Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Lipid metabolism and disorders (10 papers) and Obesity, Physical Activity, Diet (8 papers). The work is most often cited by research in Biological Psychiatry (146 citations), Genetics (1.5k citations), Molecular Biology (2.3k citations), Physiology (809 citations) and Endocrinology, Diabetes and Metabolism (501 citations). Joanne E. Curran has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include John Blangero, Thomas D. Dyer, Laura Almasy, Anthony G. Comuzzie, Michael C. Mahaney, Jeremy B. M. Jowett, Harald H.H. Göring, Melanie A. Carless, Eric K. Moses and Jack W. Kent. Their work appears in journals such as Blood, PLoS ONE, Obesity, The American Journal of Human Genetics and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

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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