Michael Li
Impact in
- Health Informatics top 10%
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 13
- Cancer Immunotherapy and Biomarkers 7
- HER2/EGFR in Cancer Research 3
- Colorectal Cancer Treatments and Studies 2
-
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Liver Disease and Transplantation 2
- Co-authors
- Stephen D. Zucker (7 shared papers)Jordan Sack (6 shared papers)Shilpa Grover (6 shared papers)Osama E. Rahma (3 shared papers)Jennifer C. Lai (6 shared papers)F. Stephen Hodi (4 shared papers)Jin Ge (1 shared paper)Ravi Ramesh Pathak (2 shared papers)
- Journals
- Cancer Research (2 papers)Journal of Hepatology (2 papers)Hepatology Communications (2 papers)Journal of Clinical Oncology (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michael Li
29 papers receiving 427 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 14
- Hepatology 69
- Oncology 154
- Geriatrics and Gerontology 8
- Epidemiology 59
Countries citing papers authored by Michael Li
This map shows the geographic impact of Michael Li'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 Michael Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Li more than expected).
Fields of papers citing papers by Michael Li
This network shows the impact of papers produced by Michael Li. 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 Michael Li. The network helps show where Michael Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 51 | |
| 2 | 2023 | 47 | |
| 3 | 2021 | 47 | |
| 4 | 2020 | 43 | |
| 5 | 2020 | 35 | |
| 6 | 2024 | 31 | |
| 7 | 2024 | 29 | |
| 8 | 2021 | 23 | |
| 9 | 2014 | 21 | |
| 10 | 2020 | 17 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2023 | 8 | |
| 14 | 2006 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 2016 | 4 |
About Michael Li
Michael Li is a scholar working on Oncology, Hepatology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 33 papers that have together received 432 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Immune cells in cancer (2 papers), Liver Disease and Transplantation (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Health Informatics (14 citations), Hepatology (69 citations), Oncology (154 citations), Geriatrics and Gerontology (8 citations) and Epidemiology (59 citations). Michael Li has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stephen D. Zucker, Jordan Sack, Shilpa Grover, Osama E. Rahma, Jennifer C. Lai, F. Stephen Hodi, Jin Ge, Ravi Ramesh Pathak, Scott L. Friedman and Neil Mehta. Their work appears in journals such as Cancer Research, Journal of Hepatology, Hepatology Communications, Journal of Clinical Oncology and Journal of Visualized Experiments.
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.