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
-
- Statistical Methods in Clinical Trials 5
-
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Co-authors
- Junji Furuse (4 shared papers)Seung Kew Yoon (4 shared papers)Keiko Nakajima (4 shared papers)Tadatoshi Takayama (4 shared papers)Lucy Dagher (4 shared papers)Riccardo Lencioni (4 shared papers)Christos N. Papandreou (4 shared papers)Laura Ladrón de Guevara (4 shared papers)
- Journals
- Drug Information Journal (2 papers)Journal of Hepatology (1 paper)Radiology (1 paper)Statistics in Medicine (1 paper)International Journal of Clinical Practice (1 paper)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Robert Lehr
11 papers receiving 776 citations
Peers
Comparison fields: 5 of 110
- Hepatology 507
- Pathology and Forensic Medicine 140
- Cancer Research 81
- Epidemiology 161
- Statistics and Probability 32
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 | 272 | |
| 2 | 1992 | 184 | |
| 3 | 2013 | 184 | |
| 4 | 2016 | 95 | |
| 5 | 2016 | 37 | |
| 6 | 1992 | 8 | |
| 7 | 2001 | 6 | |
| 8 | 2009 | 4 | |
| 9 | 2003 | 4 | |
| 10 | 2018 | 1 | |
| 11 | 2010 | 1 | |
| 12 | 2010 | 1 |
About Robert Lehr
Robert Lehr is a scholar working on Statistics and Probability, Hepatology, Management Science and Operations Research, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 797 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Psychometric Methodologies and Testing (2 papers), Imbalanced Data Classification Techniques (2 papers), Meta-analysis and systematic reviews (2 papers), AI in cancer detection (1 paper), Digital Imaging for Blood Diseases (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Hepatology (507 citations), Pathology and Forensic Medicine (140 citations), Cancer Research (81 citations), Epidemiology (161 citations) and Statistics and Probability (32 citations). Robert Lehr has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Junji Furuse, Seung Kew Yoon, Keiko Nakajima, Tadatoshi Takayama, Lucy Dagher, Riccardo Lencioni, Christos N. Papandreou, Laura Ladrón de Guevara, Masatoshi Kudo and Stephanie Heldner. Their work appears in journals such as Drug Information Journal, Journal of Hepatology, Radiology, Statistics in Medicine and International Journal of Clinical Practice.
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.