Jeffrey J. Larson-Keller
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Rheumatology top 5%
- Co-authors
- Horst ZinckeRuud A. F. KromErik J. BergstralhDuane M. IlstrupJoseph E. OesterlingMichael M. LieberCarlos V. PayáRobin Patel
- Topics
- Prostate Cancer Diagnosis and Treatment (4 papers)Urologic and reproductive health conditions (4 papers)Cytomegalovirus and herpesvirus research (4 papers)
- Partner nations
- United StatesUnited KingdomVietnam
In The Last Decade
Jeffrey J. Larson-Keller
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Epidemiology 555
- Pulmonary and Respiratory Medicine 524
- Surgery 291
- Cardiology and Cardiovascular Medicine 210
- Rheumatology 202
Countries citing papers authored by Jeffrey J. Larson-Keller
This map shows the geographic impact of Jeffrey J. Larson-Keller'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 Jeffrey J. Larson-Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey J. Larson-Keller more than expected).
Fields of papers citing papers by Jeffrey J. Larson-Keller
This network shows the impact of papers produced by Jeffrey J. Larson-Keller. 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 Jeffrey J. Larson-Keller. The network helps show where Jeffrey J. Larson-Keller may publish in the future.
Co-authorship network of co-authors of Jeffrey J. Larson-Keller
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Larson-Keller. A scholar is included among the top collaborators of Jeffrey J. Larson-Keller 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 Jeffrey J. Larson-Keller. Jeffrey J. Larson-Keller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 147 | |
| 2 | 39 | |
| 3 | 214 | |
| 4 | 111 | |
| 5 | 80 | |
| 6 | Aneuploidy and aneusomy of chromosome 7 detected by fluorescence in situ hybridization are markers of poor prognosis in prostate cancer. | 112 |
| 7 | 82 | |
| 8 | 130 | |
| 9 | 108 | |
| 10 | Predictors of primary nonfunction: is donor liver fat content important? | 0 |
| 11 | 48 | |
| 12 | 95 | |
| 13 | 107 | |
| 14 | 54 | |
| 15 | 36 |
About Jeffrey J. Larson-Keller
Jeffrey J. Larson-Keller is a scholar working on Transplantation, Rheumatology and Hepatology, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (4 papers), Urologic and reproductive health conditions (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Transplantation (124 citations), Critical Care and Intensive Care Medicine (91 citations) and Pulmonary and Respiratory Medicine (524 citations). Jeffrey J. Larson-Keller has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Horst Zincke, Ruud A. F. Krom, Erik J. Bergstralh, Duane M. Ilstrup, Joseph E. Oesterling, Michael M. Lieber, Carlos V. Payá, Robin Patel, Daniel Portela and Russell H. Wiesner. Their work appears in journals such as Annals of Internal Medicine, Journal of the American College of Cardiology and Hepatology.
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.