John Connell
Impact in
- Endocrinology, Diabetes and Metabolism top 0.05%
- Hormonal Regulation and Hypertension
- Genetics top 0.1%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
-
- Hormonal Regulation and Hypertension 85
- Adrenal Hormones and Disorders 18
-
- Renin-Angiotensin System Studies 18
- Blood Pressure and Hypertension Studies 15
- Co-authors
- John Petrie (29 shared papers)Eleanor Davies (37 shared papers)Robert Fraser (47 shared papers)Henry L. Elliott (19 shared papers)Gwyn W. Gould (8 shared papers)Naveed A. Sattar (8 shared papers)Shinichiro Ueda (13 shared papers)Helen Lyall (4 shared papers)
- Journals
- Journal of Hypertension (21 papers)The Journal of Clinical Endocrinology & Metabolism (20 papers)Hypertension (20 papers)Clinical Endocrinology (16 papers)Nature Genetics (10 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
John Connell
225 papers receiving 29.3k citations
John Connell's Hit Papers
Peers
Comparison fields: 5 of 182
- Endocrinology, Diabetes and Metabolism 6.7k
- Genetics 9.9k
- Cardiology and Cardiovascular Medicine 4.3k
- Nephrology 1.4k
- Behavioral Neuroscience 406
Countries citing papers authored by John Connell
This map shows the geographic impact of John Connell'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 John Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Connell more than expected).
Fields of papers citing papers by John Connell
This network shows the impact of papers produced by John Connell. 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 John Connell. The network helps show where John Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside John Connell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls Hit paper breakdown → | 2007 | 7865 |
| 2 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 2419 |
| 3 | Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk Hit paper breakdown → | 2011 | 1677 |
| 4 | Genome-wide association study identifies eight loci associated with blood pressure Hit paper breakdown → | 2009 | 1019 |
| 5 | Outcomes after adrenalectomy for unilateral primary aldosteronism: an international consensus on outcome measures and analysis of remission rates in an international cohort Hit paper breakdown → | 2017 | 742 |
| 6 | Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls Hit paper breakdown → | 2010 | 637 |
| 7 | Meta-Analysis of 28,141 Individuals Identifies Common Variants within Five New Loci That Influence Uric Acid Concentrations Hit paper breakdown → | 2009 | 551 |
| 8 | 2001 | 547 | |
| 9 | Exome-wide association study of plasma lipids in >300,000 individuals Hit paper breakdown → | 2017 | 437 |
| 10 | Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk Hit paper breakdown → | 2017 | 429 |
| 11 | Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function Hit paper breakdown → | 2016 | 426 |
| 12 | 2010 | 401 | |
| 13 | 2008 | 371 | |
| 14 | 2010 | 353 | |
| 15 | 1999 | 328 | |
| 16 | 2008 | 325 | |
| 17 | The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals Hit paper breakdown → | 2016 | 324 |
| 18 | 2003 | 305 | |
| 19 | 2010 | 290 | |
| 20 | 2005 | 289 |
About John Connell
John Connell is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Genetics, Surgery and Pediatrics, Perinatology and Child Health, having authored 230 papers that have together received 30.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (85 papers), Genetic Associations and Epidemiology (30 papers), Renin-Angiotensin System Studies (18 papers), Adrenal Hormones and Disorders (18 papers), Blood Pressure and Hypertension Studies (15 papers), Birth, Development, and Health (15 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers) and Nitric Oxide and Endothelin Effects (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (6.7k citations), Genetics (9.9k citations), Cardiology and Cardiovascular Medicine (4.3k citations), Nephrology (1.4k citations) and Behavioral Neuroscience (406 citations). John Connell has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include John Petrie, Eleanor Davies, Robert Fraser, Henry L. Elliott, Gwyn W. Gould, Naveed A. Sattar, Shinichiro Ueda, Helen Lyall, Scott Mackay MacKenzie and Mary C. Ingram. Their work appears in journals such as Journal of Hypertension, The Journal of Clinical Endocrinology & Metabolism, Hypertension, Clinical Endocrinology and Nature 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.