Wen Jin
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Biochemistry top 10%
Papers in
-
- Retinoids in leukemia and cellular processes 9
- Epigenetics and DNA Methylation 7
- Genomics and Chromatin Dynamics 7
- Protein Degradation and Inhibitors 5
- RNA modifications and cancer 4
-
- Cancer-related molecular mechanisms research 6
- Co-authors
- Kankan Wang (17 shared papers)Qian‐Zhong Li (9 shared papers)KiHwan Bae (3 shared papers)Hai Fang (6 shared papers)Chen Zhu (3 shared papers)Yongchun Zuo (4 shared papers)Shufen Li (4 shared papers)Yun Tan (6 shared papers)
- Journals
- Blood (5 papers)Archives of Pharmacal Research (3 papers)Frontiers of Medicine (3 papers)Biosystems (2 papers)Journal of Applied Biomedicine (1 paper)
- Partner nations
- ChinaSouth KoreaAustralia
In The Last Decade
Wen Jin
45 papers receiving 862 citations
Peers
Comparison fields: 5 of 91
- Hematology 156
- Biochemistry 58
- Cancer Research 128
- Molecular Biology 556
- Complementary and alternative medicine 37
Countries citing papers authored by Wen Jin
This map shows the geographic impact of Wen Jin'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 Wen Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Jin more than expected).
Fields of papers citing papers by Wen Jin
This network shows the impact of papers produced by Wen Jin. 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 Wen Jin. The network helps show where Wen Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Jin, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 129 | |
| 2 | 2006 | 97 | |
| 3 | 2020 | 60 | |
| 4 | 2014 | 57 | |
| 5 | 2006 | 44 | |
| 6 | 2017 | 41 | |
| 7 | 2022 | 40 | |
| 8 | 2015 | 38 | |
| 9 | 2012 | 32 | |
| 10 | 2005 | 28 | |
| 11 | 2014 | 27 | |
| 12 | 2020 | 23 | |
| 13 | 2019 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2022 | 18 | |
| 16 | 2022 | 18 | |
| 17 | 2022 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2015 | 13 |
About Wen Jin
Wen Jin is a scholar working on Molecular Biology, Cancer Research, Hematology, Plant Science and Surgery, having authored 47 papers that have together received 886 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (9 papers), Acute Myeloid Leukemia Research (8 papers), Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (7 papers), Cancer-related molecular mechanisms research (6 papers), Protein Degradation and Inhibitors (5 papers), RNA modifications and cancer (4 papers) and Food Quality and Safety Studies (3 papers). The work is most often cited by research in Hematology (156 citations), Biochemistry (58 citations), Cancer Research (128 citations), Molecular Biology (556 citations) and Complementary and alternative medicine (37 citations). Wen Jin has collaborated with scholars based in China, South Korea and Australia. Frequent co-authors include Kankan Wang, Qian‐Zhong Li, KiHwan Bae, Hai Fang, Chen Zhu, Yongchun Zuo, Shufen Li, Yun Tan, Sai‐Juan Chen and Hyeun Wook Chang. Their work appears in journals such as Blood, Archives of Pharmacal Research, Frontiers of Medicine, Biosystems and Journal of Applied Biomedicine.
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.