Yuchi Qiu
Impact in
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- Computational Drug Discovery Methods
- Topological and Geometric Data Analysis
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Gene Regulatory Network Analysis 4
- Protein Structure and Dynamics 2
- Developmental Biology and Gene Regulation 2
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
-
- Computational Drug Discovery Methods 4
- Co-authors
- Guo‐Wei Wei (7 shared papers)Guo‐Wei Wei (2 shared papers)Qing Nie (8 shared papers)Jiahui Chen (3 shared papers)Rui Wang (3 shared papers)Jian Hu (1 shared paper)Yutong Sha (3 shared papers)Peijie Zhou (2 shared papers)
- Journals
- Nature Machine Intelligence (2 papers)Discrete and Continuous Dynamical Systems - B (2 papers)Nature Computational Science (2 papers)Journal of Chemical Information and Modeling (2 papers)Experimental Dermatology (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yuchi Qiu
20 papers receiving 459 citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 134
- Biophysics 40
- Molecular Biology 273
- Infectious Diseases 60
- Cell Biology 34
Countries citing papers authored by Yuchi Qiu
This map shows the geographic impact of Yuchi Qiu'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 Yuchi Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchi Qiu more than expected).
Fields of papers citing papers by Yuchi Qiu
This network shows the impact of papers produced by Yuchi Qiu. 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 Yuchi Qiu. The network helps show where Yuchi Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuchi Qiu, 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 | 2022 | 61 | |
| 2 | 2022 | 58 | |
| 3 | 2023 | 51 | |
| 4 | 2021 | 45 | |
| 5 | 2023 | 43 | |
| 6 | 2023 | 37 | |
| 7 | 2020 | 32 | |
| 8 | 2023 | 29 | |
| 9 | 2022 | 28 | |
| 10 | 2019 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2022 | 14 | |
| 13 | 2020 | 11 | |
| 14 | 2021 | 8 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2016 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2017 | 1 |
About Yuchi Qiu
Yuchi Qiu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cell Biology, Pharmacology and Infectious Diseases, having authored 20 papers that have together received 465 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Gene Regulatory Network Analysis (4 papers), Protein Structure and Dynamics (2 papers), Cellular Mechanics and Interactions (2 papers), Developmental Biology and Gene Regulation (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (134 citations), Biophysics (40 citations), Molecular Biology (273 citations), Infectious Diseases (60 citations) and Cell Biology (34 citations). Yuchi Qiu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Guo‐Wei Wei, Guo‐Wei Wei, Qing Nie, Jiahui Chen, Rui Wang, Jian Hu, Yutong Sha, Peijie Zhou, Weitao Chen and Limei Cheng. Their work appears in journals such as Nature Machine Intelligence, Discrete and Continuous Dynamical Systems - B, Nature Computational Science, Journal of Chemical Information and Modeling and Experimental Dermatology.
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.