Jeff Connell
Impact in
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- Diabetes Treatment and Management
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
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- Diet and metabolism studies 4
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- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Donal O’Shea (17 shared papers)Lydia Lynch (8 shared papers)Andrew E. Hogan (10 shared papers)Cliona O’Farrelly (3 shared papers)Michelle Corrigan (5 shared papers)Anna Kwaśnik (2 shared papers)Gadintshware Gaoatswe (4 shared papers)Conor Woods (3 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (3 papers)BMJ Open (2 papers)Diabetologia (2 papers)International Journal of Obesity (2 papers)Biomarkers (1 paper)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Jeff Connell
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Endocrinology, Diabetes and Metabolism 315
- Immunology 378
- Physiology 389
- Epidemiology 439
- Endocrine and Autonomic Systems 62
Countries citing papers authored by Jeff Connell
This map shows the geographic impact of Jeff 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 Jeff Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Connell more than expected).
Fields of papers citing papers by Jeff Connell
This network shows the impact of papers produced by Jeff 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 Jeff Connell. The network helps show where Jeff Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 192 | |
| 2 | 2013 | 190 | |
| 3 | 2010 | 172 | |
| 4 | 2015 | 142 | |
| 5 | 2011 | 131 | |
| 6 | 2013 | 79 | |
| 7 | 2013 | 59 | |
| 8 | 2011 | 51 | |
| 9 | 2014 | 39 | |
| 10 | 2018 | 35 | |
| 11 | 2015 | 33 | |
| 12 | 2021 | 32 | |
| 13 | 2014 | 28 | |
| 14 | 2011 | 27 | |
| 15 | 2022 | 25 | |
| 16 | 1999 | 18 | |
| 17 | 1997 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2010 | 8 | |
| 20 | 1982 | 8 |
About Jeff Connell
Jeff Connell is a scholar working on Physiology, Epidemiology, Immunology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes and associated disorders (5 papers), Obesity and Health Practices (4 papers), Diet and metabolism studies (4 papers), Obesity, Physical Activity, Diet (4 papers), Diabetes Treatment and Management (3 papers) and Schizophrenia research and treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (315 citations), Immunology (378 citations), Physiology (389 citations), Epidemiology (439 citations) and Endocrine and Autonomic Systems (62 citations). Jeff Connell has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Donal O’Shea, Lydia Lynch, Andrew E. Hogan, Cliona O’Farrelly, Michelle Corrigan, Anna Kwaśnik, Gadintshware Gaoatswe, Conor Woods, Justin Geoghegan and Tom Cawood. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, BMJ Open, Diabetologia, International Journal of Obesity and Biomarkers.
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.