Shunda Du
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 10%
Papers in
- Oncology 28
- Inflammatory Biomarkers in Disease Prognosis 8
- Hepatology 27
- Hepatocellular Carcinoma Treatment and Prognosis 21
- Co-authors
- Yilei Mao (78 shared papers)Huayu Yang (43 shared papers)Xinting Sang (60 shared papers)Haitao Zhao (40 shared papers)Bao Jin (33 shared papers)Shouxian Zhong (33 shared papers)Yiyao Xu (28 shared papers)Gang Xu (20 shared papers)
- Journals
- Cancer Management and Research (5 papers)Medicine (3 papers)Journal of Cancer (3 papers)Cancer Cell International (3 papers)Cancer Research and Treatment (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shunda Du
116 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 104
- Hepatology 340
- Cancer Research 211
- Oncology 351
- Obstetrics and Gynecology 83
- Epidemiology 251
Countries citing papers authored by Shunda Du
This map shows the geographic impact of Shunda Du'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 Shunda Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunda Du more than expected).
Fields of papers citing papers by Shunda Du
This network shows the impact of papers produced by Shunda Du. 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 Shunda Du. The network helps show where Shunda Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Shunda Du, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 211 | |
| 2 | 2020 | 103 | |
| 3 | 2018 | 80 | |
| 4 | 2016 | 70 | |
| 5 | 2023 | 61 | |
| 6 | 2014 | 59 | |
| 7 | 2020 | 51 | |
| 8 | 2009 | 47 | |
| 9 | 2017 | 40 | |
| 10 | 2017 | 36 | |
| 11 | 2020 | 35 | |
| 12 | 2020 | 34 | |
| 13 | 2019 | 31 | |
| 14 | 2020 | 27 | |
| 15 | 2020 | 26 | |
| 16 | 2015 | 26 | |
| 17 | 2021 | 23 | |
| 18 | 2022 | 23 | |
| 19 | 2020 | 22 | |
| 20 | 2023 | 20 |
About Shunda Du
Shunda Du is a scholar working on Oncology, Hepatology, Surgery, Epidemiology and Molecular Biology, having authored 131 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (19 papers), Hepatitis B Virus Studies (8 papers), Inflammatory Biomarkers in Disease Prognosis (8 papers), Ferroptosis and cancer prognosis (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Neuroendocrine Tumor Research Advances (6 papers) and 3D Printing in Biomedical Research (6 papers). The work is most often cited by research in Hepatology (340 citations), Cancer Research (211 citations), Oncology (351 citations), Obstetrics and Gynecology (83 citations) and Epidemiology (251 citations). Shunda Du has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yilei Mao, Huayu Yang, Xinting Sang, Haitao Zhao, Bao Jin, Shouxian Zhong, Yiyao Xu, Gang Xu, Xin Lu and Haifeng Xu. Their work appears in journals such as Cancer Management and Research, Medicine, Journal of Cancer, Cancer Cell International and Cancer Research and Treatment.
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.