Chaobo Chen
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
- Hepatology 14
- Hepatocellular Carcinoma Treatment and Prognosis 9
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- Ferroptosis and cancer prognosis 4
- Co-authors
- Francisco Javier Cubero (4 shared papers)Matias Antonio Avila (3 shared papers)Leonard J. Nelson (2 shared papers)Jingcheng Wang (2 shared papers)Xueqin Yang (1 shared paper)Song Gao (11 shared papers)Wentao Shao (2 shared papers)Hai Hu (2 shared papers)
In The Last Decade
Chaobo Chen
62 papers receiving 720 citations
Peers
Comparison fields: 5 of 96
- Hepatology 96
- Environmental Engineering 50
- Pharmacology 31
- Surgery 123
- Endocrine and Autonomic Systems 14
Countries citing papers authored by Chaobo Chen
This map shows the geographic impact of Chaobo Chen'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 Chaobo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaobo Chen more than expected).
Fields of papers citing papers by Chaobo Chen
This network shows the impact of papers produced by Chaobo Chen. 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 Chaobo Chen. The network helps show where Chaobo Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaobo Chen, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 58 | |
| 2 | 2019 | 53 | |
| 3 | 2019 | 52 | |
| 4 | 2020 | 51 | |
| 5 | 2021 | 45 | |
| 6 | 2020 | 42 | |
| 7 | 2021 | 38 | |
| 8 | 2015 | 37 | |
| 9 | 2021 | 37 | |
| 10 | 2022 | 31 | |
| 11 | 2021 | 29 | |
| 12 | N-acetylglucosaminyltransferase V activity in metastatic models of human hepatocellular carcinoma in nude mice. | 1999 | 21 |
| 13 | 2019 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2024 | 17 | |
| 16 | 2017 | 15 | |
| 17 | 2023 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2018 | 8 |
About Chaobo Chen
Chaobo Chen is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Surgery, Control and Systems Engineering and Oncology, having authored 75 papers that have together received 731 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Machine Fault Diagnosis Techniques (5 papers), Multilevel Inverters and Converters (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Advanced Neural Network Applications (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Hepatology (96 citations), Environmental Engineering (50 citations), Pharmacology (31 citations), Surgery (123 citations) and Endocrine and Autonomic Systems (14 citations). Chaobo Chen has collaborated with scholars based in China, Spain and Germany. Frequent co-authors include Francisco Javier Cubero, Matias Antonio Avila, Leonard J. Nelson, Jingcheng Wang, Xueqin Yang, Song Gao, Wentao Shao, Hai Hu, Yulia Alexandrowna Nevzorova and Cheng Huang. Their work appears in journals such as World Journal of Surgical Oncology, Hepatology Communications, Cell Death and Disease, BMC Surgery and Cells.
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.