Dan Jin
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immune cells in cancer
Papers in
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- RNA Research and Splicing 2
- Circular RNAs in diseases 2
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- Microtubule and mitosis dynamics 3
- Co-authors
- Su Fu (3 shared papers)Qunyi Guo (2 shared papers)Jingjing Xie (2 shared papers)Dianshuai Gao (3 shared papers)Ziyi Xu (2 shared papers)Chao Qu (1 shared paper)Kyu‐Jae Lee (1 shared paper)Xufeng Qi (1 shared paper)
- Journals
- Journal of Cellular Physiology (2 papers)Molecular Pharmaceutics (1 paper)Neuropeptides (1 paper)Solar Energy (1 paper)Advanced Healthcare Materials (1 paper)
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Dan Jin
20 papers receiving 523 citations
Peers
Comparison fields: 5 of 104
- Cancer Research 114
- Immunology 92
- Molecular Biology 236
- Cellular and Molecular Neuroscience 60
- Hepatology 25
Countries citing papers authored by Dan Jin
This map shows the geographic impact of Dan 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 Dan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Jin more than expected).
Fields of papers citing papers by Dan Jin
This network shows the impact of papers produced by Dan 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 Dan Jin. The network helps show where Dan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 79 | |
| 2 | 2009 | 62 | |
| 3 | 2015 | 51 | |
| 4 | 2012 | 51 | |
| 5 | 2014 | 50 | |
| 6 | 2018 | 38 | |
| 7 | 2019 | 30 | |
| 8 | 2018 | 26 | |
| 9 | 2019 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2018 | 19 | |
| 12 | 2022 | 18 | |
| 13 | 2023 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2017 | 13 | |
| 16 | 2016 | 10 | |
| 17 | 2020 | 4 | |
| 18 | 2011 | 2 | |
| 19 | 2007 | 1 | |
| 20 | 2022 | 1 |
About Dan Jin
Dan Jin is a scholar working on Molecular Biology, Cell Biology, Electrical and Electronic Engineering, Cancer Research and Pathology and Forensic Medicine, having authored 22 papers that have together received 525 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Cancer-related molecular mechanisms research (3 papers), Microtubule and mitosis dynamics (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (114 citations), Immunology (92 citations), Molecular Biology (236 citations), Cellular and Molecular Neuroscience (60 citations) and Hepatology (25 citations). Dan Jin has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Su Fu, Qunyi Guo, Jingjing Xie, Dianshuai Gao, Ziyi Xu, Chao Qu, Kyu‐Jae Lee, Xufeng Qi, Fangfang Li and Jianhong Li. Their work appears in journals such as Journal of Cellular Physiology, Molecular Pharmaceutics, Neuropeptides, Solar Energy and Advanced Healthcare Materials.
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.