Xiangjin Chen
Impact in
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- Thyroid Cancer Diagnosis and Treatment
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- Cancer-related molecular mechanisms research
Papers in
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- Cancer-related gene regulation 3
- RNA modifications and cancer 3
- S100 Proteins and Annexins 2
- Circular RNAs in diseases 2
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- Thyroid Cancer Diagnosis and Treatment 6
- Co-authors
- Youzhi Zhu (17 shared papers)Kunlin Wu (10 shared papers)Huihao Zhang (10 shared papers)Lingjun Kong (10 shared papers)Ling Chen (12 shared papers)Feng Zhao (2 shared papers)Junyu Lin (7 shared papers)Sunwang Xu (12 shared papers)
- Journals
- Cell Death Discovery (2 papers)Agronomy (2 papers)Cell Death and Disease (2 papers)Frontiers in Oncology (2 papers)EURASIP Journal on Wireless Communications and Networking (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiangjin Chen
37 papers receiving 546 citations
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 113
- Cancer Research 90
- Oncology 149
- Immunology 71
- Genetics 27
Countries citing papers authored by Xiangjin Chen
This map shows the geographic impact of Xiangjin 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 Xiangjin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjin Chen more than expected).
Fields of papers citing papers by Xiangjin Chen
This network shows the impact of papers produced by Xiangjin 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 Xiangjin Chen. The network helps show where Xiangjin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangjin 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 93 | |
| 2 | 2018 | 60 | |
| 3 | Significance of TLR4/MyD88 expression in breast cancer. | 2015 | 41 |
| 4 | 2017 | 34 | |
| 5 | 2015 | 33 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 25 | |
| 8 | 2015 | 24 | |
| 9 | 2017 | 24 | |
| 10 | 2023 | 21 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Xiangjin Chen
Xiangjin Chen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Plant Science and Oncology, having authored 38 papers that have together received 549 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Cancer-related gene regulation (3 papers), Soybean genetics and cultivation (3 papers), RNA modifications and cancer (3 papers), Immune Response and Inflammation (2 papers), S100 Proteins and Annexins (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (113 citations), Cancer Research (90 citations), Oncology (149 citations), Immunology (71 citations) and Genetics (27 citations). Xiangjin Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Youzhi Zhu, Kunlin Wu, Huihao Zhang, Lingjun Kong, Ling Chen, Feng Zhao, Junyu Lin, Sunwang Xu, Weibing Miao and Feng Du. Their work appears in journals such as Cell Death Discovery, Agronomy, Cell Death and Disease, Frontiers in Oncology and EURASIP Journal on Wireless Communications and Networking.
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.