Les Henderson
Impact in
- Hepatology top 10%
- Liver physiology and pathology
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- Pancreatic and Hepatic Oncology Research
- Colorectal Cancer Treatments and Studies
- Cancer Cells and Metastasis
Papers in
- Oncology 7
- Colorectal Cancer Treatments and Studies 3
- Pancreatic and Hepatic Oncology Research 2
-
- Cancer Genomics and Diagnostics 6
- Co-authors
- Daniel V.T. Catenacci (5 shared papers)Shu‐Yuan Xiao (6 shared papers)Ravi Salgia (2 shared papers)Robert L. Yauch (1 shared paper)Ajay Pandita (1 shared paper)Jiping Zha (1 shared paper)Premal H. Patel (1 shared paper)Amy Peterson (1 shared paper)
- Journals
- Journal of Clinical Oncology (7 papers)Journal of Clinical Pathology (1 paper)Molecular Cancer Research (1 paper)PLoS Genetics (1 paper)International Journal of Gynecological Pathology (1 paper)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Les Henderson
19 papers receiving 321 citations
Peers
Comparison fields: 5 of 57
- Hepatology 68
- Oncology 141
- Virology 18
- Cancer Research 53
- Gastroenterology 16
Countries citing papers authored by Les Henderson
This map shows the geographic impact of Les Henderson'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 Les Henderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Les Henderson more than expected).
Fields of papers citing papers by Les Henderson
This network shows the impact of papers produced by Les Henderson. 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 Les Henderson. The network helps show where Les Henderson may publish in the future.
Co-authors
The 25 scholars most cited alongside Les Henderson, 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 | 2011 | 83 | |
| 2 | 2009 | 57 | |
| 3 | 2014 | 40 | |
| 4 | 2010 | 40 | |
| 5 | 2015 | 31 | |
| 6 | 2013 | 31 | |
| 7 | 2012 | 17 | |
| 8 | 2014 | 8 | |
| 9 | 1990 | 8 | |
| 10 | 1990 | 4 | |
| 11 | 2012 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2010 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2017 | 1 |
About Les Henderson
Les Henderson is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 335 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Colorectal Cancer Treatments and Studies (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), DNA Repair Mechanisms (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Hepatology (68 citations), Oncology (141 citations), Virology (18 citations), Cancer Research (53 citations) and Gastroenterology (16 citations). Les Henderson has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Daniel V.T. Catenacci, Shu‐Yuan Xiao, Ravi Salgia, Robert L. Yauch, Ajay Pandita, Jiping Zha, Premal H. Patel, Amy Peterson, Priti S. Hegde and Theodore Karrison. Their work appears in journals such as Journal of Clinical Oncology, Journal of Clinical Pathology, Molecular Cancer Research, PLoS Genetics and International Journal of Gynecological Pathology.
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.