Michael Li
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Health Informatics top 10%
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Liver Diseases and Immunity 2
- Liver Disease and Transplantation 2
- Oncology 11
- Cancer Immunotherapy and Biomarkers 6
- Pancreatic and Hepatic Oncology Research 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)Frank Stephen Hodi (4 shared papers)Jennifer C. Lai (7 shared papers)Neil Mehta (2 shared papers)Jin Ge (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Hepatology Communications (2 papers)Clinical Gastroenterology and Hepatology (2 papers)Journal of Hepatology (2 papers)Neurosurgery (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michael Li
31 papers receiving 676 citations
Peers
Comparison fields: 5 of 83
- Hepatology 134
- Health Informatics 15
- Oncology 188
- Infectious Diseases 120
- Epidemiology 132
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 | 2020 | 182 | |
| 2 | 2021 | 55 | |
| 3 | 2015 | 54 | |
| 4 | 2023 | 53 | |
| 5 | 2020 | 47 | |
| 6 | 2024 | 46 | |
| 7 | 2024 | 46 | |
| 8 | 2020 | 36 | |
| 9 | 2021 | 26 | |
| 10 | 2014 | 21 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2006 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Michael Li
Michael Li is a scholar working on Hepatology, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 33 papers that have together received 685 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cancer Genomics and Diagnostics (2 papers), Immune cells in cancer (2 papers), Liver Diseases and Immunity (2 papers), Liver Disease and Transplantation (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (134 citations), Health Informatics (15 citations), Oncology (188 citations), Infectious Diseases (120 citations) and Epidemiology (132 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, Frank Stephen Hodi, Jennifer C. Lai, Neil Mehta, Jin Ge, Sherrie Bhoori and Vincenzo Mazzaferro. Their work appears in journals such as Journal of Visualized Experiments, Hepatology Communications, Clinical Gastroenterology and Hepatology, Journal of Hepatology and Neurosurgery.
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.