Kai Yin
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 2%
- Atherosclerosis and Cardiovascular Diseases
- Immune cells in cancer
Papers in
-
- Cancer-related molecular mechanisms research 9
- Cancer, Lipids, and Metabolism 8
- Immunology 32
- Immune cells in cancer 14
- Immune Response and Inflammation 8
- Co-authors
- Chao‐Ke TangDevendra K. AgrawalYuchang FuDawei ZhangXiao-Hua YuShengjun WangJie TianGuojun Zhao
- Journals
- Clinica Chimica Acta (6 papers)Frontiers in Immunology (5 papers)Acta Biochimica et Biophysica Sinica (4 papers)Acta Pharmacologica Sinica (3 papers)Molecular Medicine (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kai Yin
113 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cancer Research 1.0k
- Immunology 992
- Molecular Biology 1.7k
- Pathology and Forensic Medicine 387
- Surgery 921
Countries citing papers authored by Kai Yin
This map shows the geographic impact of Kai Yin'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 Kai Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yin more than expected).
Fields of papers citing papers by Kai Yin
This network shows the impact of papers produced by Kai Yin. 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 Kai Yin. The network helps show where Kai Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Yin, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 30 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 38 | |
| 11 | CTHRC1 in Ovarian Cancer Promotes M2-Like Polarization of Tumor-Associated Macrophages via Regulation of the STAT6 Signaling Pathway | 2020 | 2 |
| 12 | 2020 | 32 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 18 | |
| 17 | Foam cells in atherosclerosis Hit paper breakdown → | 2013 | 615 |
| 18 | 2012 | 17 | |
| 19 | 2011 | 48 | |
| 20 | Epidemiological characteristics of diarrhea revealed by routine epidemic reporting and by household survey. | 2010 | 1 |
About Kai Yin
Kai Yin is a scholar working on Cancer Research, Immunology, Surgery, Oncology and Molecular Biology, having authored 117 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (19 papers), Immune cells in cancer (14 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Drug Transport and Resistance Mechanisms (9 papers), Cancer-related molecular mechanisms research (9 papers), Cancer, Lipids, and Metabolism (8 papers), RNA modifications and cancer (8 papers) and Immune Response and Inflammation (8 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology (992 citations), Molecular Biology (1.7k citations), Pathology and Forensic Medicine (387 citations) and Surgery (921 citations). Kai Yin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chao‐Ke Tang, Devendra K. Agrawal, Yuchang Fu, Dawei Zhang, Xiao-Hua Yu, Shengjun Wang, Jie Tian, Guojun Zhao, Wujun Chen and Duan‐Fang Liao. Their work appears in journals such as Clinica Chimica Acta, Frontiers in Immunology, Acta Biochimica et Biophysica Sinica, Acta Pharmacologica Sinica and Molecular Medicine.
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.