Joanne E. Curran

25.1k citations
192 papers · 5.8k · h-index 40

Impact in

Papers in

Joanne E. Curran

183 papers receiving 5.7k citations

Peers

Joanne E. Curran
Comparison fields: 5 of 149
  • Biological Psychiatry 116
  • Genetics 1.3k
  • Molecular Biology 2.0k
  • Nutrition and Dietetics 387
  • Physiology 573
Replace Thomas D. Dyer with:
Thomas D. Dyer United States
Ian N.M. Day United Kingdom
Josep M. Mercader Spain
Joab Chapman Israel
Li Liu China
Qiong Yang United States
Stuart MacGregor Australia
Luigi Bouchard Canada
Ming D. Li United States
Xia Yang 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 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007356
2 2005294
3 2013290
4 2013237
5 2009213
6 2010187
7 2011148
8 1999134
9 2011126
10 2015109
11 201295
12 201382
13 201079
14 200075
15 201375
16 201571
17 201570
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 Cardiology and Cardiovascular Medicine, having authored 192 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (35 papers), Advanced Neuroimaging Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Lipid metabolism and disorders (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Adipose Tissue and Metabolism (8 papers) and Functional Brain Connectivity Studies (7 papers). The work is most often cited by research in Biological Psychiatry (116 citations), Genetics (1.3k citations), Molecular Biology (2.0k citations), Nutrition and Dietetics (387 citations) and Physiology (573 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, Frontiers in 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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