Kevin Carroll
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Cancer Research top 10%
- Co-authors
- Kristine PembertonSumitra ThongprasertVenice ArcherNick ThatcherPurvish M. ParikhJoachim von PawelAlex Y. ChangE.H. Tan
- Topics
- Renal Diseases and Glomerulopathies (9 papers)Statistical Methods in Clinical Trials (5 papers)Chronic Kidney Disease and Diabetes (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Kevin Carroll
26 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Pulmonary and Respiratory Medicine 1.5k
- Oncology 1.3k
- Molecular Biology 396
- Cardiology and Cardiovascular Medicine 283
- Cancer Research 275
Countries citing papers authored by Kevin Carroll
This map shows the geographic impact of Kevin Carroll'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 Kevin Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Carroll more than expected).
Fields of papers citing papers by Kevin Carroll
This network shows the impact of papers produced by Kevin Carroll. 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 Kevin Carroll. The network helps show where Kevin Carroll may publish in the future.
Co-authorship network of co-authors of Kevin Carroll
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Carroll. A scholar is included among the top collaborators of Kevin Carroll 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 Kevin Carroll. Kevin Carroll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 161 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 287 | |
| 18 | 5 | |
| 19 | 19 | |
| 20 | Gefitinib plus best supportive care in previously treated patients with refractory advanced non-small-cell lung cancer: results from a randomised, placebo-controlled, multicentre study (Iressa Survival Evaluation in Lung Cancer)breakdown → | 1688 |
About Kevin Carroll
Kevin Carroll is a scholar working on Nephrology, Health Informatics and Statistics and Probability, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (9 papers), Statistical Methods in Clinical Trials (5 papers) and Chronic Kidney Disease and Diabetes (3 papers). The work is most often cited by research in Oncology (1.3k citations), Pulmonary and Respiratory Medicine (1.5k citations) and Nephrology (193 citations). Kevin Carroll has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Kristine Pemberton, Sumitra Thongprasert, Venice Archer, Nick Thatcher, Purvish M. Parikh, Joachim von Pawel, Alex Y. Chang, E.H. Tan, Tudor–Eliade Ciuleanu and José Rodrigues Pereira. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Oncology.
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.