Robert Lehr
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Hepatitis C virus research
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 4
-
- Statistical Methods in Clinical Trials 4
- Co-authors
- Lucy Dagher (4 shared papers)Masatoshi Kudo (4 shared papers)Keiko Nakajima (4 shared papers)Tadatoshi Takayama (4 shared papers)Seung Kew Yoon (4 shared papers)Christos N. Papandreou (4 shared papers)Stephanie Heldner (4 shared papers)Riccardo Lencioni (4 shared papers)
- Journals
- Drug Information Journal (2 papers)Journal of Hepatology (1 paper)Quality Engineering (1 paper)Statistics in Medicine (1 paper)Radiology (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Robert Lehr
8 papers receiving 759 citations
Peers
Comparison fields: 5 of 106
- Hepatology 502
- Pathology and Forensic Medicine 136
- Cancer Research 79
- Epidemiology 160
- Statistics, Probability and Uncertainty 23
Countries citing papers authored by Robert Lehr
This map shows the geographic impact of Robert Lehr'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 Robert Lehr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Lehr more than expected).
Fields of papers citing papers by Robert Lehr
This network shows the impact of papers produced by Robert Lehr. 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 Robert Lehr. The network helps show where Robert Lehr may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Lehr, 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 | 2016 | 270 | |
| 2 | 2013 | 181 | |
| 3 | 1992 | 178 | |
| 4 | 2016 | 94 | |
| 5 | 2016 | 37 | |
| 6 | 1992 | 8 | |
| 7 | 2001 | 5 | |
| 8 | 2009 | 3 | |
| 9 | 2018 | 1 |
About Robert Lehr
Robert Lehr is a scholar working on Hepatology, Statistics and Probability, Management Science and Operations Research, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 777 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Statistical Methods in Clinical Trials (4 papers), Psychometric Methodologies and Testing (1 paper), Hemodynamic Monitoring and Therapy (1 paper), Radiation Dose and Imaging (1 paper), Meta-analysis and systematic reviews (1 paper), Optimal Experimental Design Methods (1 paper) and Ultrasound and Hyperthermia Applications (1 paper). The work is most often cited by research in Hepatology (502 citations), Pathology and Forensic Medicine (136 citations), Cancer Research (79 citations), Epidemiology (160 citations) and Statistics, Probability and Uncertainty (23 citations). Robert Lehr has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Lucy Dagher, Masatoshi Kudo, Keiko Nakajima, Tadatoshi Takayama, Seung Kew Yoon, Christos N. Papandreou, Stephanie Heldner, Riccardo Lencioni, Laura Ladrón de Guevara and Junji Furuse. Their work appears in journals such as Drug Information Journal, Journal of Hepatology, Quality Engineering, Statistics in Medicine and Radiology.
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.