Mao-Lin Yan
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
- Hepatology 40
- Hepatocellular Carcinoma Treatment and Prognosis 40
- Oncology 11
- Pancreatic and Hepatic Oncology Research 4
- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- Funan Qiu (11 shared papers)Jiayi Wu (37 shared papers)Yifeng Tian (9 shared papers)Songqiang Zhou (9 shared papers)Yinan Li (14 shared papers)Jianyin Zhou (17 shared papers)Jiaqiang Zhang (3 shared papers)Yufeng Chen (5 shared papers)
- Journals
- Liver Cancer (5 papers)Frontiers in Oncology (4 papers)Annals of Surgical Oncology (3 papers)Surgery (3 papers)Signal Transduction and Targeted Therapy (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mao-Lin Yan
54 papers receiving 850 citations
Peers
Comparison fields: 5 of 61
- Hepatology 343
- Cancer Research 193
- Oncology 156
- Pathology and Forensic Medicine 82
- Surgery 165
Countries citing papers authored by Mao-Lin Yan
This map shows the geographic impact of Mao-Lin Yan'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 Mao-Lin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mao-Lin Yan more than expected).
Fields of papers citing papers by Mao-Lin Yan
This network shows the impact of papers produced by Mao-Lin Yan. 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 Mao-Lin Yan. The network helps show where Mao-Lin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mao-Lin Yan, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 109 | |
| 2 | 2019 | 82 | |
| 3 | 2016 | 75 | |
| 4 | 2020 | 67 | |
| 5 | 2023 | 46 | |
| 6 | 2017 | 44 | |
| 7 | 2022 | 41 | |
| 8 | 2005 | 35 | |
| 9 | 2022 | 23 | |
| 10 | 2020 | 21 | |
| 11 | 2023 | 20 | |
| 12 | 2007 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2018 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2023 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2024 | 11 |
About Mao-Lin Yan
Mao-Lin Yan is a scholar working on Hepatology, Oncology, Surgery, Pathology and Forensic Medicine and Cancer Research, having authored 67 papers that have together received 852 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (40 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Pancreatic and Hepatic Oncology Research (4 papers), Gallbladder and Bile Duct Disorders (3 papers), Genetic factors in colorectal cancer (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Cancer-related molecular mechanisms research (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Hepatology (343 citations), Cancer Research (193 citations), Oncology (156 citations), Pathology and Forensic Medicine (82 citations) and Surgery (165 citations). Mao-Lin Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Funan Qiu, Jiayi Wu, Yifeng Tian, Songqiang Zhou, Yinan Li, Jianyin Zhou, Jiaqiang Zhang, Yufeng Chen, Jiang-Zhi Chen and Shi Chen. Their work appears in journals such as Liver Cancer, Frontiers in Oncology, Annals of Surgical Oncology, Surgery and Signal Transduction and Targeted Therapy.
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.