Jinzhi Lei
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 14
-
- stochastic dynamics and bifurcation 6
- Cognitive Neuroscience top 10%
- Numerical Analysis top 10%
-
- Gene Regulatory Network Analysis 19
- Single-cell and spatial transcriptomics 7
- Bioinformatics and Genomic Networks 7
- Epigenetics and DNA Methylation 6
-
- Microtubule and mitosis dynamics 7
-
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Michael C. MackeyYou SongMatjaž PercQing NieXiaojuan SunMeirong ZhangJürgen KurthsHonglei Ren
- Journals
- Journal of Theoretical Biology (11 papers)Discrete and Continuous Dynamical Systems - B (6 papers)Mathematical Biosciences & Engineering (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jinzhi Lei
92 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 140
- Modeling and Simulation 140
- Statistical and Nonlinear Physics 339
- Cognitive Neuroscience 233
- Numerical Analysis 61
- Computer Networks and Communications 219
Countries citing papers authored by Jinzhi Lei
This map shows the geographic impact of Jinzhi Lei'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 Jinzhi Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinzhi Lei more than expected).
Fields of papers citing papers by Jinzhi Lei
This network shows the impact of papers produced by Jinzhi Lei. 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 Jinzhi Lei. The network helps show where Jinzhi Lei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinzhi Lei, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 4 | |
| 8 | 2018 | 3 | |
| 9 | 2018 | 55 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2017 | 97 | |
| 14 | 2016 | 5 | |
| 15 | 2015 | 12 | |
| 16 | 2015 | 20 | |
| 17 | 2015 | 1 | |
| 18 | 2011 | 24 | |
| 19 | 2008 | 7 | |
| 20 | 2006 | 27 |
About Jinzhi Lei
Jinzhi Lei is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Molecular Biology, having authored 99 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (19 papers), Mathematical Biology Tumor Growth (14 papers), Microtubule and mitosis dynamics (7 papers), Single-cell and spatial transcriptomics (7 papers), Bioinformatics and Genomic Networks (7 papers), stochastic dynamics and bifurcation (6 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Modeling and Simulation (140 citations), Statistical and Nonlinear Physics (339 citations) and Cognitive Neuroscience (233 citations). Jinzhi Lei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Michael C. Mackey, You Song, Matjaž Perc, Qing Nie, Xiaojuan Sun, Meirong Zhang, Jürgen Kurths, Honglei Ren, Guanrong Chen and Liu Hong. Their work appears in journals such as Journal of Theoretical Biology, Discrete and Continuous Dynamical Systems - B, Mathematical Biosciences & Engineering, Journal of Mathematical Biology and Bulletin of Mathematical Biology.
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.