Roy Connell
Impact in
- Nephrology top 10%
- Dialysis and Renal Disease Management
- Renal Diseases and Glomerulopathies
- Hematology top 10%
- Iron Metabolism and Disorders
- Erythropoietin and Anemia Treatment
Papers in
-
- Renal Diseases and Glomerulopathies 2
- Surgery 2
- Infectious Diseases and Tuberculosis 1
- Muscle and Compartmental Disorders 1
- Co-authors
- Aditi Gupta (1 shared paper)David R. Sherman (1 shared paper)Shuyi Ma (1 shared paper)Erin Sizemore (1 shared paper)David Wonderling (1 shared paper)Reynaldo Dietze (1 shared paper)William R. Mac Kenzie (1 shared paper)Chris Brown (1 shared paper)
- Journals
- New England Journal of Medicine (1 paper)Pediatric Nephrology (1 paper)American Journal of Kidney Diseases (1 paper)International Journal of Nephrology and Renovascular Disease (1 paper)International Journal of Mathematics and Mathematical Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
Roy Connell
6 papers receiving 225 citations
Peers
Comparison fields: 5 of 58
- Nephrology 55
- Hematology 77
- Genetics 52
- Infectious Diseases 73
- Molecular Medicine 14
Countries citing papers authored by Roy Connell
This map shows the geographic impact of Roy 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 Roy Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Connell more than expected).
Fields of papers citing papers by Roy Connell
This network shows the impact of papers produced by Roy 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 Roy Connell. The network helps show where Roy Connell may publish in the future.
Co-authors
The 25 scholars most cited alongside Roy 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 | 2018 | 85 | |
| 2 | 2016 | 81 | |
| 3 | 2014 | 35 | |
| 4 | 2015 | 21 | |
| 5 | 2020 | 7 | |
| 6 | 1993 | 1 |
About Roy Connell
Roy Connell is a scholar working on Nephrology, Surgery, Genetics, Immunology and Infectious Diseases, having authored 6 papers that have together received 230 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Complement system in diseases (2 papers), Infectious Diseases and Tuberculosis (1 paper), Erythropoietin and Anemia Treatment (1 paper), Iron Metabolism and Disorders (1 paper), Central Venous Catheters and Hemodialysis (1 paper) and Muscle and Compartmental Disorders (1 paper). The work is most often cited by research in Nephrology (55 citations), Hematology (77 citations), Genetics (52 citations), Infectious Diseases (73 citations) and Molecular Medicine (14 citations). Roy Connell has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Aditi Gupta, David R. Sherman, Shuyi Ma, Erin Sizemore, David Wonderling, Reynaldo Dietze, William R. Mac Kenzie, Chris Brown, John L. Johnson and Mark Thomas. Their work appears in journals such as New England Journal of Medicine, Pediatric Nephrology, American Journal of Kidney Diseases, International Journal of Nephrology and Renovascular Disease and International Journal of Mathematics and Mathematical Sciences.
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.