TM Therneau

1.3k citations
15 papers · 922 · h-index 12

Impact in

  • Hepatology top 2%
    • Liver Diseases and Immunity
    • Liver Disease and Transplantation
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

TM Therneau

14 papers receiving 889 citations

Peers

TM Therneau
Comparison fields: 5 of 55
  • Hepatology 499
  • Hematology 299
  • Epidemiology 464
  • Oncology 195
  • Genetics 70
Replace Raymond Liang with:
Raymond Liang China
Benedetto Comotti Italy
F Invernizzi Italy
Katayoun Jondeau France
Andreas Donner Germany
E. Minóla Italy
Tenshang Joh United States
Osvaldo Giachino Italy
H.‐G. Mergenthaler Germany
Lalit Pallan United Kingdom
TM Therneau relative to Raymond Liang China Raymond Liang's profile →
Citations per field
00.5×1.5×2.3×
Raymond Liang · 1×
Citations per year

Countries citing papers authored by TM Therneau

Since Specialization
Citations

This map shows the geographic impact of TM 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 TM Therneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TM Therneau more than expected).

Fields of papers citing papers by TM Therneau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by TM 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 TM Therneau. The network helps show where TM Therneau may publish in the future.

Co-authors

The 25 scholars most cited alongside TM Therneau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with TM Therneau Line = papers co-authored together TM Therneau links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1996217
2 1996154
3 1996132
4 199688
5 199687
6 198869
7 199951
8 201350
9 201722
10 199319
11 199716
12
Primary biliary cirrhosis: Dutch application of the Mayo Model before and after orthotopic liver transplantation.
199711
13 19984
14
Prognostic value of flow cytometric nuclear DNA analysis in stage C prostate carcinoma
19882
15
Feulgen-stained histologic sections of prostate needle biopsy specimens: Reliability of DNA static image cytometry
19960

About TM Therneau

TM Therneau is a scholar working on Molecular Biology, Epidemiology, Hematology, Hepatology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 922 indexed citations. Recurring topics across this work include Liver Diseases and Immunity (5 papers), Multiple Myeloma Research and Treatments (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Liver Disease and Transplantation (3 papers), Prostate Cancer Treatment and Research (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Hepatology (499 citations), Hematology (299 citations), Epidemiology (464 citations), Oncology (195 citations) and Genetics (70 citations). TM Therneau has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Stuart K. Roberts, Michael Malinchoc, J. Ludwig, Keith D. Lindor, G. Richard Locke, E. Rolland Dickson, Daniel D. Billadeau, Brian Van Ness, Teresa K. Kimlinger and T.E. Witzig. Their work appears in journals such as Gastroenterology, Blood, Journal of Clinical Oncology, Bone Marrow Transplantation and European Urology.

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.

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