Suoqin Jin
- Molecular Biology top 2%
- Immunology top 1%
- Oncology top 2%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Qing NieMaksim V. PlikusLihua ZhangChristian F. Guerrero‐JuarezRaúl RamosChen‐Hsiang KuanPeggy MyungIvan Chang
- Topics
- Single-cell and spatial transcriptomics (10 papers)Gene Regulatory Network Analysis (8 papers)Cell Image Analysis Techniques (7 papers)
- Cited by
- ImmunologyCancer ResearchBiophysics
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Suoqin Jin
31 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.0k
- Immunology 1.8k
- Oncology 1.0k
- Cancer Research 769
- Pulmonary and Respiratory Medicine 696
Countries citing papers authored by Suoqin Jin
This map shows the geographic impact of Suoqin 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 Suoqin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suoqin Jin more than expected).
Fields of papers citing papers by Suoqin Jin
This network shows the impact of papers produced by Suoqin 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 Suoqin Jin. The network helps show where Suoqin Jin may publish in the future.
Co-authorship network of co-authors of Suoqin Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Suoqin Jin. A scholar is included among the top collaborators of Suoqin 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 Suoqin Jin. Suoqin 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 | 0 | |
| 2 | 0 | |
| 3 | CellChat for systematic analysis of cell–cell communication from single-cell transcriptomicsbreakdown → | 227 |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 24 | |
| 8 | 13 | |
| 9 | 28 | |
| 10 | 73 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 12 | |
| 14 | Inference and analysis of cell-cell communication using CellChatbreakdown → | 3825 |
| 15 | 122 | |
| 16 | 113 | |
| 17 | 154 | |
| 18 | 1 | |
| 19 | 52 | |
| 20 | 6 |
About Suoqin Jin
Suoqin Jin is a scholar working on Biophysics, Modeling and Simulation and Dermatology, having authored 34 papers that have together received 5.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Gene Regulatory Network Analysis (8 papers) and Cell Image Analysis Techniques (7 papers). The work is most often cited by research in Immunology (1.8k citations), Cancer Research (769 citations) and Biophysics (255 citations). Suoqin Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qing Nie, Maksim V. Plikus, Lihua Zhang, Christian F. Guerrero‐Juarez, Raúl Ramos, Chen‐Hsiang Kuan, Peggy Myung, Ivan Chang, Xiufen Zou and Kai Kessenbrock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.