Minhua Chen
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 68
- Hepatocellular Carcinoma Treatment and Prognosis 68
- Epidemiology 47
- Liver Disease Diagnosis and Treatment 32
Minhua Chen
220 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 185
- Hepatology 1.1k
- Epidemiology 1.1k
- Critical Care and Intensive Care Medicine 118
- Radiology, Nuclear Medicine and Imaging 490
- Pulmonary and Respiratory Medicine 589
Countries citing papers authored by Minhua Chen
This map shows the geographic impact of Minhua 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 Minhua Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minhua Chen more than expected).
Fields of papers citing papers by Minhua Chen
This network shows the impact of papers produced by Minhua 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 Minhua Chen. The network helps show where Minhua Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minhua 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 1 | |
| 10 | 2017 | 10 | |
| 11 | 2015 | 5 | |
| 12 | Compressive Sensing of Signals from a GMM with Sparse Precision Matrices | 2014 | 4 |
| 13 | 2012 | 10 | |
| 14 | 2011 | 20 | |
| 15 | 2010 | 115 | |
| 16 | Social-Emotional Learning in the Primary Curriculum. | 2008 | 6 |
| 17 | 2008 | 29 | |
| 18 | 2006 | 12 | |
| 19 | 2004 | 192 | |
| 20 | 2002 | 24 |
About Minhua Chen
Minhua Chen is a scholar working on Hepatology, Epidemiology, Molecular Medicine, Pulmonary and Respiratory Medicine and Cancer Research, having authored 228 papers that have together received 5.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (68 papers), Liver Disease Diagnosis and Treatment (32 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers), Thermal properties of materials (14 papers), Ultrasound and Hyperthermia Applications (13 papers), Cancer, Hypoxia, and Metabolism (10 papers), Thermal Radiation and Cooling Technologies (8 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (1.1k citations), Critical Care and Intensive Care Medicine (118 citations), Radiology, Nuclear Medicine and Imaging (490 citations) and Pulmonary and Respiratory Medicine (589 citations). Minhua Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Kun Yan, Yunfei Chen, Wei Yang, Zhonghua Ni, Kedong Bi, Anton Van der Ven, Lawrence Carin, Zhiyong Wei, Ying Dai and Shanshan Yin. Their work appears in journals such as International Journal of Hyperthermia, World Journal of Gastroenterology, Journal of Ultrasound in Medicine, Frontiers in Psychiatry and Microwave and Optical Technology Letters.
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.