Shuilin Jin
- Molecular Biology top 10%
- Cancer Research top 5%
- Genetics top 10%
- Physiology
- Infectious Diseases
- Co-authors
- Qinghua JiangYadong WangYu LiGuiyou LiuGuohua WangJiajie PengRenjie TanRui Ma
- Topics
- Single-cell and spatial transcriptomics (11 papers)Gene expression and cancer classification (9 papers)Cancer-related molecular mechanisms research (8 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shuilin Jin
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 740
- Cancer Research 365
- Genetics 178
- Physiology 116
- Infectious Diseases 79
Countries citing papers authored by Shuilin Jin
This map shows the geographic impact of Shuilin 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 Shuilin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuilin Jin more than expected).
Fields of papers citing papers by Shuilin Jin
This network shows the impact of papers produced by Shuilin 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 Shuilin Jin. The network helps show where Shuilin Jin may publish in the future.
Co-authorship network of co-authors of Shuilin Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Shuilin Jin. A scholar is included among the top collaborators of Shuilin Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuilin Jin. Shuilin Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 45 | |
| 10 | 3 | |
| 11 | 59 | |
| 12 | 56 | |
| 13 | 30 | |
| 14 | 17 | |
| 15 | 28 | |
| 16 | 3 | |
| 17 | A Track Association Algorithm Based on Leader-Follower On-line Clustering in Dense Target Environments | 2 |
| 18 | 117 | |
| 19 | Characterization of Quantum Independence by Joint Numerical Range | 0 |
| 20 | A Class of Strong Limit Theorems for Countable Non-homogeneous Markov Chains | 0 |
About Shuilin Jin
Shuilin Jin is a scholar working on Algebra and Number Theory, Cancer Research and Mathematical Physics, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (11 papers), Gene expression and cancer classification (9 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Cancer Research (365 citations), Molecular Biology (740 citations) and Biological Psychiatry (17 citations). Shuilin Jin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qinghua Jiang, Yadong Wang, Yu Li, Guiyou Liu, Guohua Wang, Jiajie Peng, Renjie Tan, Rui Ma, Yang Hu and Wenyang Zhou. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.