Qing Nie
Impact in
- Modeling and Simulation top 0.2%
- Mathematical Biology Tumor Growth
- Biophysics top 0.2%
- Cell Image Analysis Techniques
Papers in
- Biophysics 32
- Cell Image Analysis Techniques 28
- Cell Biology 57
- Cellular Mechanics and Interactions 33
- Co-authors
- Suoqin JinMaksim V. PlikusLihua ZhangChristopher RackauckasChristian F. Guerrero‐JuarezRaúl RamosChen‐Hsiang KuanPeggy Myung
- Journals
- Nature Communications (17 papers)Journal of Computational Physics (12 papers)PLoS Computational Biology (12 papers)BMC Systems Biology (8 papers)Developmental Cell (7 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Qing Nie
280 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Modeling and Simulation 806
- Biophysics 746
- Molecular Biology 7.8k
- Immunology 2.4k
- Cell Biology 1.7k
Countries citing papers authored by Qing Nie
This map shows the geographic impact of Qing Nie'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 Qing Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Nie more than expected).
Fields of papers citing papers by Qing Nie
This network shows the impact of papers produced by Qing Nie. 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 Qing Nie. The network helps show where Qing Nie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing Nie, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 39 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 25 | |
| 12 | 2022 | 44 | |
| 13 | 2021 | 122 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 62 | |
| 16 | 2017 | 97 | |
| 17 | 2015 | 3 | |
| 18 | 2012 | 37 | |
| 19 | 2011 | 6 | |
| 20 | Do morphogen gradients arise by diffusion? | 2002 | 1 |
About Qing Nie
Qing Nie is a scholar working on Biophysics, Cell Biology, Molecular Biology, Modeling and Simulation and Numerical Analysis, having authored 288 papers that have together received 14.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (60 papers), Gene Regulatory Network Analysis (53 papers), Cellular Mechanics and Interactions (33 papers), Developmental Biology and Gene Regulation (29 papers), Cell Image Analysis Techniques (28 papers), Cancer Cells and Metastasis (24 papers), Bioinformatics and Genomic Networks (18 papers) and RNA Research and Splicing (14 papers). The work is most often cited by research in Modeling and Simulation (806 citations), Biophysics (746 citations), Molecular Biology (7.8k citations), Immunology (2.4k citations) and Cell Biology (1.7k citations). Qing Nie has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Suoqin Jin, Maksim V. Plikus, Lihua Zhang, Christopher Rackauckas, Christian F. Guerrero‐Juarez, Raúl Ramos, Chen‐Hsiang Kuan, Peggy Myung, Ivan Chang and Arthur D. Lander. Their work appears in journals such as Nature Communications, Journal of Computational Physics, PLoS Computational Biology, BMC Systems Biology and Developmental Cell.
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.