Chaobo Chen
Impact in
- Hepatology top 10%
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- Hydrological Forecasting Using AI
Papers in
- Surgery 21
- Cholangiocarcinoma and Gallbladder Cancer Studies 11
- Pediatric Hepatobiliary Diseases and Treatments 4
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- Gallbladder and Bile Duct Disorders 5
- Co-authors
- Francisco Javier Cubero (4 shared papers)Jingcheng Wang (2 shared papers)Matías A. Ávila (3 shared papers)Leonard J. Nelson (2 shared papers)Xueqin Yang (1 shared paper)Song Gao (11 shared papers)Wentao Shao (2 shared papers)Qihan Wang (2 shared papers)
- Journals
- World Journal of Surgical Oncology (3 papers)Cells (2 papers)BMC Surgery (2 papers)Sensors (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaSpainSouth Korea
In The Last Decade
Chaobo Chen
50 papers receiving 481 citations
Peers
Comparison fields: 5 of 103
- Hepatology 57
- Environmental Engineering 50
- Water Science and Technology 47
- Surgery 136
- Oncology 81
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 55 | |
| 2 | 2019 | 48 | |
| 3 | 2019 | 42 | |
| 4 | 2020 | 40 | |
| 5 | 2021 | 36 | |
| 6 | 2015 | 36 | |
| 7 | 2021 | 34 | |
| 8 | N-acetylglucosaminyltransferase V activity in metastatic models of human hepatocellular carcinoma in nude mice. | 1999 | 20 |
| 9 | 2019 | 18 | |
| 10 | 2017 | 16 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2011 | 6 | |
| 20 | 2020 | 6 |
About Chaobo Chen
Chaobo Chen is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Hepatology, Electrical and Electronic Engineering and Molecular Biology, having authored 64 papers that have together received 491 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cancer Mechanisms and Therapy (6 papers), Gallbladder and Bile Duct Disorders (5 papers), Multilevel Inverters and Converters (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Pediatric Hepatobiliary Diseases and Treatments (4 papers). The work is most often cited by research in Hepatology (57 citations), Environmental Engineering (50 citations), Water Science and Technology (47 citations), Surgery (136 citations) and Oncology (81 citations). Chaobo Chen has collaborated with scholars based in China, Spain and South Korea. Frequent co-authors include Francisco Javier Cubero, Jingcheng Wang, Matías A. Ávila, Leonard J. Nelson, Xueqin Yang, Song Gao, Wentao Shao, Qihan Wang, Hai Hu and Yulia A. Nevzorova. Their work appears in journals such as World Journal of Surgical Oncology, Cells, BMC Surgery, Sensors and Scientific Reports.
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.