Terry M. Therneau
- Epidemiology top 0.02%
- Hepatology top 0.02%
- Molecular Biology top 0.2%
- Surgery top 0.05%
- Hematology top 0.05%
- Co-authors
- Patricia M. GrambschPeter McCullaghJ. A. NelderW. Ray KimRobert A. KyleS. Vincent RajkumarDirk R. LarsonRussell H. Wiesner
- Topics
- Liver Disease Diagnosis and Treatment (82 papers)Multiple Myeloma Research and Treatments (48 papers)Liver Disease and Transplantation (44 papers)
- Cited by
- HepatologyHematologyEpidemiology
- Partner nations
- United StatesBelarusSouth Korea
In The Last Decade
Terry M. Therneau
396 papers receiving 56.3k citations
Hit Papers
Peers
Comparison fields: 5 of 229
- Epidemiology 15.6k
- Hepatology 12.7k
- Molecular Biology 10.9k
- Surgery 10.1k
- Hematology 7.8k
Countries citing papers authored by Terry M. Therneau
This map shows the geographic impact of Terry M. Therneau'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 Terry M. Therneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terry M. Therneau more than expected).
Fields of papers citing papers by Terry M. Therneau
This network shows the impact of papers produced by Terry M. Therneau. 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 Terry M. Therneau. The network helps show where Terry M. Therneau may publish in the future.
Co-authorship network of co-authors of Terry M. Therneau
This figure shows the co-authorship network connecting the top 25 collaborators of Terry M. Therneau. A scholar is included among the top collaborators of Terry M. Therneau 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 Terry M. Therneau. Terry M. Therneau 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 | 14 | |
| 3 | 13 | |
| 4 | 67 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 42 | |
| 8 | 18 | |
| 9 | 75 | |
| 10 | 20 | |
| 11 | 32 | |
| 12 | 126 | |
| 13 | 18 | |
| 14 | 170 | |
| 15 | Association between noninvasive fibrosis markers and mortality among adults with nonalcoholic fatty liver disease in the United Statesbreakdown → | 600 |
| 16 | 87 | |
| 17 | 314 | |
| 18 | 285 | |
| 19 | 5 | |
| 20 | 257 |
About Terry M. Therneau
Terry M. Therneau is a scholar working on Hepatology, Hematology and Genetics, having authored 403 papers that have together received 58.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (82 papers), Multiple Myeloma Research and Treatments (48 papers) and Liver Disease and Transplantation (44 papers). The work is most often cited by research in Hepatology (12.7k citations), Hematology (7.8k citations) and Epidemiology (15.6k citations). Terry M. Therneau has collaborated with scholars based in United States, Belarus and South Korea. Frequent co-authors include Patricia M. Grambsch, Peter McCullagh, J. A. Nelder, W. Ray Kim, Robert A. Kyle, S. Vincent Rajkumar, Dirk R. Larson, Russell H. Wiesner, Patrick S. Kamath and Angela Dispenzieri. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.