Yajin Chen
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 12
- Hepatocellular Carcinoma Treatment and Prognosis 11
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- RNA modifications and cancer 4
- Circular RNAs in diseases 3
- Co-authors
- Changzhen Shang (31 shared papers)Wenliang Tan (22 shared papers)Yun-Le Wan (2 shared papers)Lihong Lv (2 shared papers)Guolin Li (2 shared papers)Haoming Lin (1 shared paper)Wei Zhang (1 shared paper)Mei Yang (1 shared paper)
- Journals
- Journal of Clinical Oncology (8 papers)APOPTOSIS (2 papers)Cell Death and Disease (2 papers)Cancer Letters (1 paper)Frontiers in Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yajin Chen
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Hepatology 174
- Cancer Research 292
- Molecular Biology 510
- Immunology 132
- Oncology 140
Countries citing papers authored by Yajin Chen
This map shows the geographic impact of Yajin 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 Yajin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yajin Chen more than expected).
Fields of papers citing papers by Yajin Chen
This network shows the impact of papers produced by Yajin 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 Yajin Chen. The network helps show where Yajin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yajin 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 385 | |
| 2 | 2018 | 88 | |
| 3 | 2013 | 84 | |
| 4 | 2019 | 71 | |
| 5 | 2022 | 44 | |
| 6 | 2022 | 29 | |
| 7 | 2024 | 26 | |
| 8 | 2019 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2015 | 18 | |
| 14 | 2021 | 15 | |
| 15 | 2018 | 15 | |
| 16 | 2012 | 15 | |
| 17 | 2023 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2021 | 9 | |
| 20 | SLC39A1 Overexpression is Associated with Immune Infiltration in Hepatocellular Carcinoma and Promotes Its Malignant Progression | 2022 | 9 |
About Yajin Chen
Yajin Chen is a scholar working on Hepatology, Molecular Biology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Ferroptosis and cancer prognosis (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Colorectal Cancer Treatments and Studies (4 papers), RNA modifications and cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Hepatology (174 citations), Cancer Research (292 citations), Molecular Biology (510 citations), Immunology (132 citations) and Oncology (140 citations). Yajin Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Changzhen Shang, Wenliang Tan, Yun-Le Wan, Lihong Lv, Guolin Li, Haoming Lin, Wei Zhang, Mei Yang, Yan Lin and Wenda Li. Their work appears in journals such as Journal of Clinical Oncology, APOPTOSIS, Cell Death and Disease, Cancer Letters and Frontiers in Nutrition.
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.