Hugh Connell
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 13
-
- Urinary Tract Infections Management 9
- Co-authors
- Catharina Svanborg (12 shared papers)Björn Wullt (4 shared papers)Göran Bergsten (2 shared papers)Majlis Svensson (2 shared papers)Diana Karpman (2 shared papers)Flemming Scheutz (2 shared papers)Gerald W. Tannock (2 shared papers)Todd R. Klaenhammer (1 shared paper)
- Journals
- The Journal of Urology (2 papers)The Journal of Infectious Diseases (2 papers)Pediatric Nephrology (1 paper)Cellular Microbiology (1 paper)Journal of Toxicology and Environmental Health (1 paper)
- Partner nations
- SwedenUnited StatesDenmark
In The Last Decade
Hugh Connell
20 papers receiving 779 citations
Peers
Comparison fields: 5 of 68
- Endocrinology 429
- Molecular Medicine 98
- Urology 54
- Infectious Diseases 162
- Epidemiology 273
Countries citing papers authored by Hugh Connell
This map shows the geographic impact of Hugh 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 Hugh Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh Connell more than expected).
Fields of papers citing papers by Hugh Connell
This network shows the impact of papers produced by Hugh 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 Hugh Connell. The network helps show where Hugh Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Hugh 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
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 128 | |
| 2 | 1994 | 112 | |
| 3 | 1995 | 104 | |
| 4 | 2000 | 96 | |
| 5 | 2001 | 69 | |
| 6 | 1998 | 56 | |
| 7 | 1996 | 46 | |
| 8 | 1996 | 41 | |
| 9 | 1997 | 36 | |
| 10 | 1998 | 25 | |
| 11 | 2000 | 22 | |
| 12 | 1994 | 17 | |
| 13 | 1996 | 12 | |
| 14 | 1999 | 12 | |
| 15 | 2000 | 11 | |
| 16 | 1993 | 8 | |
| 17 | The role of endotoxin and shiga-like toxin in a mouse model of Escherichia coli O157H7 infection | 1995 | 7 |
| 18 | 1988 | 6 | |
| 19 | 2019 | 4 | |
| 20 | 1998 | 1 |
About Hugh Connell
Hugh Connell is a scholar working on Endocrinology, Epidemiology, Pediatrics, Perinatology and Child Health, Molecular Biology and Nutrition and Dietetics, having authored 20 papers that have together received 813 indexed citations. Recurring topics across this work include Escherichia coli research studies (13 papers), Urinary Tract Infections Management (9 papers), Pediatric Urology and Nephrology Studies (4 papers), Infant Nutrition and Health (2 papers), Gut microbiota and health (2 papers), Probiotics and Fermented Foods (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Heavy Metal Exposure and Toxicity (1 paper). The work is most often cited by research in Endocrinology (429 citations), Molecular Medicine (98 citations), Urology (54 citations), Infectious Diseases (162 citations) and Epidemiology (273 citations). Hugh Connell has collaborated with scholars based in Sweden, United States and Denmark. Frequent co-authors include Catharina Svanborg, Björn Wullt, Göran Bergsten, Majlis Svensson, Diana Karpman, Flemming Scheutz, Gerald W. Tannock, Todd R. Klaenhammer, Ulf Jodal and John B. Luchansky. Their work appears in journals such as The Journal of Urology, The Journal of Infectious Diseases, Pediatric Nephrology, Cellular Microbiology and Journal of Toxicology and Environmental Health.
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.