Modan Yang
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
Papers in
- Hepatology 11
- Hepatocellular Carcinoma Treatment and Prognosis 5
- Liver Disease and Transplantation 4
- Liver physiology and pathology 2
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- Liver Disease Diagnosis and Treatment 7
- Hepatitis B Virus Studies 2
- Co-authors
- Di Lu (17 shared papers)Xiao Xu (18 shared papers)Zuyuan Lin (15 shared papers)Jianyong Zhuo (13 shared papers)Xinyu Yang (3 shared papers)Xuyong Wei (12 shared papers)Shusen Zheng (10 shared papers)Xinyu Yang (7 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Cell Proliferation (2 papers)Journal of Adolescent Health (1 paper)Gene (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaMadagascarUnited States
In The Last Decade
Modan Yang
23 papers receiving 304 citations
Peers
Comparison fields: 5 of 71
- Hepatology 86
- Transplantation 8
- Oncology 71
- Epidemiology 88
- Cancer Research 35
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2021 | 42 | |
| 3 | 2020 | 35 | |
| 4 | 2021 | 26 | |
| 5 | 2022 | 23 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 14 | |
| 8 | 2018 | 12 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2002 | 4 | |
| 15 | A model integrated fibrinogen and D-dimer for prediction of hepatocellular carcinoma recurrence following liver transplantation: a multicentre study. | 2022 | 4 |
| 16 | 2020 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2021 | 2 |
About Modan Yang
Modan Yang is a scholar working on Hepatology, Epidemiology, Surgery, Molecular Biology and Oncology, having authored 26 papers that have together received 308 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Organ Transplantation Techniques and Outcomes (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Liver Disease and Transplantation (4 papers), Cancer Mechanisms and Therapy (3 papers), Cancer, Lipids, and Metabolism (2 papers), Liver physiology and pathology (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (86 citations), Transplantation (8 citations), Oncology (71 citations), Epidemiology (88 citations) and Cancer Research (35 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, Xuyong Wei, Shusen Zheng, Xinyu Yang, Rui Wang and Qiang Wei. Their work appears in journals such as Frontiers in Oncology, Cell Proliferation, Journal of Adolescent Health, Gene and Cell Death and Disease.
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.