Jeff Connell

1.8k total citations
30 papers, 1.3k citations indexed

About

Jeff Connell is a scholar working on Physiology, Epidemiology and Immunology. According to data from OpenAlex, Jeff Connell has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 8 papers in Epidemiology and 7 papers in Immunology. Recurrent topics in Jeff Connell's work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Immune Cell Function and Interaction (6 papers) and Diabetes and associated disorders (5 papers). Jeff Connell is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (6 papers), Immune Cell Function and Interaction (6 papers) and Diabetes and associated disorders (5 papers). Jeff Connell collaborates with scholars based in Ireland, United Kingdom and United States. Jeff Connell's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jeff Connell

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeff Connell Ireland 16 439 389 378 315 202 30 1.3k
Sharon H. Chou United States 17 565 1.3× 740 1.9× 70 0.2× 226 0.7× 316 1.6× 35 2.0k
Declan Cody Ireland 14 172 0.4× 134 0.3× 233 0.6× 314 1.0× 127 0.6× 37 925
Ariadne Malamitsi‐Puchner Greece 22 379 0.9× 251 0.6× 235 0.6× 59 0.2× 199 1.0× 78 1.8k
Bożena Leszczyńska‐Gorzelak Poland 23 262 0.6× 156 0.4× 704 1.9× 123 0.4× 223 1.1× 154 2.1k
A Luger Austria 23 339 0.8× 778 2.0× 99 0.3× 492 1.6× 296 1.5× 102 2.0k
Kenji Kanazawa Japan 21 151 0.3× 259 0.7× 126 0.3× 108 0.3× 252 1.2× 69 1.5k
Assimina Galli‐Τsinopoulou Greece 22 191 0.4× 250 0.6× 75 0.2× 324 1.0× 228 1.1× 111 1.5k
Gesthimani Mintziori Greece 20 235 0.5× 163 0.4× 69 0.2× 502 1.6× 209 1.0× 58 1.5k
M. Pertovaara Finland 22 79 0.2× 499 1.3× 253 0.7× 96 0.3× 236 1.2× 34 1.5k
Despina D. Briana Greece 23 359 0.8× 276 0.7× 101 0.3× 51 0.2× 153 0.8× 101 1.7k

Countries citing papers authored by Jeff Connell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jeff Connell

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Connell. A scholar is included among the top collaborators of Jeff Connell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeff Connell. Jeff Connell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Sahm, Laura J., et al.. (2024). Metformin in the management of antipsychotic-induced weight gain – why the ‘weight’?. Frontiers in Psychiatry. 15. 1491417–1491417. 3 indexed citations
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Kelly, N., et al.. (2022). Antigen specific T cells in people with obesity at five months following ChAdOx1 COVID-19 vaccination. International Journal of Obesity. 47(1). 83–86. 2 indexed citations
6.
Smart, Keith M., Catherine Doody, Catherine Blake, et al.. (2022). Multidimensional pain profiling in people living with obesity and attending weight management services: a protocol for a longitudinal cohort study. BMJ Open. 12(12). e065188–e065188. 3 indexed citations
7.
Tully, Louise, Cathy Wyse, Sarah Browne, et al.. (2022). Guidelines for treating child and adolescent obesity: A systematic review. Frontiers in Nutrition. 9. 902865–902865. 25 indexed citations
8.
Hayes, Katie, et al.. (2021). The Association of Physical Function Measures With Frailty, Falls History, and Metabolic Syndrome in a Population With Complex Obesity. SHILAP Revista de lepidopterología. 2. 716392–716392. 4 indexed citations
9.
Watson, Chris, Stephanie James, Eoin O’Connell, et al.. (2016). Influence of diabetes on natriuretic peptide thresholds in screening for Stage B heart failure. Biomarkers. 21(6). 538–543. 7 indexed citations
10.
Woods, Conor, M. Corrigan, Laura Gathercole, et al.. (2015). Tissue Specific Regulation of Glucocorticoids in Severe Obesity and the Response to Significant Weight Loss Following Bariatric Surgery (BARICORT). The Journal of Clinical Endocrinology & Metabolism. 100(4). 1434–1444. 33 indexed citations
11.
O’Shea, Donal & Jeff Connell. (2014). Cystic Fibrosis Related Diabetes. Current Diabetes Reports. 14(8). 511–511. 28 indexed citations
12.
O’Shea, Donal, M. Corrigan, Margaret R. Dunne, et al.. (2013). Changes in human dendritic cell number and function in severe obesity may contribute to increased susceptibility to viral infection. International Journal of Obesity. 37(11). 1510–1513. 59 indexed citations
13.
Hogan, Andrew E., Michelle Corrigan, Jeff Connell, et al.. (2013). The Impact of Childhood Obesity on Inflammation, Innate Immune Cell Frequency, and Metabolic MicroRNA Expression. The Journal of Clinical Endocrinology & Metabolism. 99(3). E474–E478. 79 indexed citations
14.
Hogan, Andrew E., Gadintshware Gaoatswe, Lydia Lynch, et al.. (2013). Glucagon-like peptide 1 analogue therapy directly modulates innate immune-mediated inflammation in individuals with type 2 diabetes mellitus. Diabetologia. 57(4). 781–784. 190 indexed citations
15.
Hogan, Andrew E., Anne‐Marie Tobin, Tomás Ahern, et al.. (2011). Glucagon-like peptide-1 (GLP-1) and the regulation of human invariant natural killer T cells: lessons from obesity, diabetes and psoriasis. Diabetologia. 54(11). 2745–2754. 131 indexed citations
16.
Connell, Jeff, Lydia Lynch, Andrew E. Hogan, Tom Cawood, & Donal O’Shea. (2011). Preadipocyte Factor-1 Is Associated with Metabolic Profile in Severe Obesity. The Journal of Clinical Endocrinology & Metabolism. 96(4). E680–E684. 51 indexed citations
17.
Connell, Jeff, Lydia Lynch, Tom Cawood, et al.. (2010). The Relationship of Omental and Subcutaneous Adipocyte Size to Metabolic Disease in Severe Obesity. PLoS ONE. 5(4). e9997–e9997. 172 indexed citations
18.
Lynch, Lydia, et al.. (2009). Are Natural Killer Cells Protecting the Metabolically Healthy Obese Patient?. Obesity. 17(3). 601–605. 192 indexed citations
19.
Riechelmann, Herbert, et al.. (1999). The role of acoustic rhinometry in the diagnosis of adenoidal hypertrophy in pre-school children. European Journal of Pediatrics. 158(1). 38–41. 18 indexed citations
20.
Connell, Jeff, et al.. (1997). Neonatal and paediatric fibre-optic laryngoscopy and bronchoscopy using the laryngeal mask airway. The Journal of Laryngology & Otology. 111(4). 349–353. 11 indexed citations

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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