Xiaofan Jin
Impact in
- Geometry and Topology top 10%
- Advanced Differential Equations and Dynamical Systems
Papers in
-
- Bacterial biofilms and quorum sensing 4
- Genomics and Chromatin Dynamics 3
- Gut microbiota and health 2
- Developmental Biology and Gene Regulation 2
-
- 3D Printing in Biomedical Research 4
- Slime Mold and Myxomycetes Research 2
- Co-authors
- Ingmar H. Riedel‐Kruse (10 shared papers)David S. Glass (4 shared papers)Dongming Wang (1 shared paper)Zahra Mirzaei (1 shared paper)Cindy Ying Yin Yip (1 shared paper)Jan‐Hung Chen (1 shared paper)Craig A. Simmons (1 shared paper)Katherine S. Pollard (4 shared papers)
- Journals
- Nature Communications (3 papers)Journal of Visualized Experiments (2 papers)Biophysical Journal (2 papers)Genome Research (2 papers)Microbiome (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaofan Jin
18 papers receiving 376 citations
Peers
Comparison fields: 5 of 92
- Geometry and Topology 39
- Statistical and Nonlinear Physics 40
- Biophysics 16
- Biomaterials 30
- Cellular and Molecular Neuroscience 40
Countries citing papers authored by Xiaofan Jin
This map shows the geographic impact of Xiaofan 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 Xiaofan Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofan Jin more than expected).
Fields of papers citing papers by Xiaofan Jin
This network shows the impact of papers produced by Xiaofan 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 Xiaofan Jin. The network helps show where Xiaofan Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 94 | |
| 2 | 2021 | 59 | |
| 3 | 2011 | 52 | |
| 4 | 1990 | 37 | |
| 5 | 2023 | 29 | |
| 6 | 2015 | 26 | |
| 7 | 2016 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 13 | |
| 11 | 2024 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 0 |
About Xiaofan Jin
Xiaofan Jin is a scholar working on Molecular Biology, Biomedical Engineering, Biophysics, Plant Science and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 379 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (4 papers), 3D Printing in Biomedical Research (4 papers), Genomics and Chromatin Dynamics (3 papers), Slime Mold and Myxomycetes Research (2 papers), Gut microbiota and health (2 papers), Developmental Biology and Gene Regulation (2 papers), Cell Image Analysis Techniques (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Geometry and Topology (39 citations), Statistical and Nonlinear Physics (40 citations), Biophysics (16 citations), Biomaterials (30 citations) and Cellular and Molecular Neuroscience (40 citations). Xiaofan Jin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ingmar H. Riedel‐Kruse, David S. Glass, Dongming Wang, Zahra Mirzaei, Cindy Ying Yin Yip, Jan‐Hung Chen, Craig A. Simmons, Katherine S. Pollard, Xiuhua Lu and Beibei Lv. Their work appears in journals such as Nature Communications, Journal of Visualized Experiments, Biophysical Journal, Genome Research and Microbiome.
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.