Modan Yang
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
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- Organ Transplantation Techniques and Outcomes
Papers in
- Hepatology 12
- Hepatocellular Carcinoma Treatment and Prognosis 11
- Liver physiology and pathology 2
- Surgery 7
- Organ Transplantation Techniques and Outcomes 7
- Co-authors
- Di Lu (15 shared papers)Xiao Xu (16 shared papers)Zuyuan Lin (15 shared papers)Jianyong Zhuo (14 shared papers)Xinyu Yang (3 shared papers)Shusen Zheng (11 shared papers)Xuyong Wei (11 shared papers)Xinyu Yang (7 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Cell Proliferation (2 papers)Nature Communications (1 paper)Redox Biology (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- ChinaMadagascarUnited States
In The Last Decade
Modan Yang
22 papers receiving 381 citations
Peers
Comparison fields: 5 of 58
- Hepatology 96
- Surgery 76
- Molecular Biology 100
- Radiology, Nuclear Medicine and Imaging 32
- Immunology 25
Countries citing papers authored by Modan Yang
This map shows the geographic impact of Modan Yang'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 Modan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Modan Yang more than expected).
Fields of papers citing papers by Modan Yang
This network shows the impact of papers produced by Modan Yang. 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 Modan Yang. The network helps show where Modan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Modan Yang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2021 | 50 | |
| 3 | 2020 | 35 | |
| 4 | 2022 | 33 | |
| 5 | 2021 | 31 | |
| 6 | 2024 | 22 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 17 | |
| 9 | 2018 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2020 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 4 | |
| 16 | A model integrated fibrinogen and D-dimer for prediction of hepatocellular carcinoma recurrence following liver transplantation: a multicentre study. | 2022 | 4 |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2020 | 2 |
About Modan Yang
Modan Yang is a scholar working on Hepatology, Surgery, Oncology, Immunology and Molecular Biology, having authored 23 papers that have together received 382 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Organ Transplantation Techniques and Outcomes (7 papers), Liver physiology and pathology (2 papers), Hepatitis B Virus Studies (2 papers), Fibroblast Growth Factor Research (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), T-cell and B-cell Immunology (1 paper) and Nutrition and Health in Aging (1 paper). The work is most often cited by research in Hepatology (96 citations), Surgery (76 citations), Molecular Biology (100 citations), Radiology, Nuclear Medicine and Imaging (32 citations) and Immunology (25 citations). Modan Yang has collaborated with scholars based in China, Madagascar and United States. Frequent co-authors include Di Lu, Xiao Xu, Zuyuan Lin, Jianyong Zhuo, Xinyu Yang, Shusen Zheng, Xuyong Wei, Xinyu Yang, Rui Wang and Mengfan Yang. Their work appears in journals such as Frontiers in Oncology, Cell Proliferation, Nature Communications, Redox Biology and International Journal of Biological 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.