Han Li
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 27
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 6
- Lung Cancer Research Studies 5
- Colorectal Cancer Surgical Treatments 3
- Hepatology 12
- Hepatocellular Carcinoma Treatment and Prognosis 12
- Co-authors
- Ke Su (9 shared papers)Lei Tian (1 shared paper)Hong Liu (1 shared paper)Wenqiang Cao (1 shared paper)Xiaodong Ren (1 shared paper)Chengyuan Liang (1 shared paper)Minyi Jia (1 shared paper)Jingyi Li (1 shared paper)
- Journals
- Annals of Oncology (4 papers)Frontiers in Oncology (4 papers)Frontiers in Immunology (3 papers)World Journal of Gastroenterology (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Han Li
102 papers receiving 2.2k citations
Han Li's Hit Papers
Peers
Comparison fields: 5 of 129
- Oncology 531
- Hepatology 141
- Immunology 338
- Aging 21
- Molecular Biology 743
Countries citing papers authored by Han Li
This map shows the geographic impact of Han 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 Han Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Li more than expected).
Fields of papers citing papers by Han Li
This network shows the impact of papers produced by Han 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 Han Li. The network helps show where Han Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reprogramming human T cell function and specificity with non-viral genome targeting Hit paper breakdown → | 2018 | 650 |
| 2 | 2021 | 162 | |
| 3 | 2022 | 119 | |
| 4 | 2021 | 80 | |
| 5 | 2022 | 75 | |
| 6 | 2015 | 72 | |
| 7 | 2023 | 51 | |
| 8 | 2015 | 46 | |
| 9 | 2022 | 44 | |
| 10 | 2022 | 41 | |
| 11 | 2021 | 39 | |
| 12 | 2022 | 36 | |
| 13 | 2022 | 36 | |
| 14 | 2023 | 36 | |
| 15 | 2022 | 35 | |
| 16 | 2023 | 34 | |
| 17 | 2023 | 33 | |
| 18 | 2019 | 29 | |
| 19 | 2021 | 26 | |
| 20 | 2023 | 22 |
About Han Li
Han Li is a scholar working on Oncology, Hepatology, Surgery, Pathology and Forensic Medicine and Immunology, having authored 109 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Cancer Cells and Metastasis (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Research Studies (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Colorectal Cancer Surgical Treatments (3 papers), Gastrointestinal Tumor Research and Treatment (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Oncology (531 citations), Hepatology (141 citations), Immunology (338 citations), Aging (21 citations) and Molecular Biology (743 citations). Han Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ke Su, Lei Tian, Hong Liu, Wenqiang Cao, Xiaodong Ren, Chengyuan Liang, Minyi Jia, Jingyi Li, Jiayun Zhang and Betty Yuen Kwan Law. Their work appears in journals such as Annals of Oncology, Frontiers in Oncology, Frontiers in Immunology, World Journal of Gastroenterology and International Journal of Molecular Sciences.
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.