Yuqi Tan
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
-
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 6
- Gene Regulatory Network Analysis 2
- Co-authors
- Patrick Cahan (5 shared papers)Garry P. Nolan (4 shared papers)John W. Hickey (4 shared papers)Yury Goltsev (2 shared papers)Sebastian Y. Bednarek (1 shared paper)Jonathan R. Mayers (1 shared paper)Jessica Cardenas (1 shared paper)Jianwei Pan (1 shared paper)
- Journals
- Nature Communications (2 papers)Cell Systems (2 papers)Nature (2 papers)Nature Methods (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Yuqi Tan
31 papers receiving 810 citations
Peers
Comparison fields: 5 of 104
- Biophysics 115
- Cancer Research 120
- Molecular Biology 539
- Hepatology 38
- Cell Biology 60
Countries citing papers authored by Yuqi Tan
This map shows the geographic impact of Yuqi Tan'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 Yuqi Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuqi Tan more than expected).
Fields of papers citing papers by Yuqi Tan
This network shows the impact of papers produced by Yuqi Tan. 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 Yuqi Tan. The network helps show where Yuqi Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuqi Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 201 | |
| 2 | 2017 | 76 | |
| 3 | 2020 | 64 | |
| 4 | 2016 | 61 | |
| 5 | 2017 | 56 | |
| 6 | 2021 | 52 | |
| 7 | 2022 | 44 | |
| 8 | 2017 | 32 | |
| 9 | 2017 | 31 | |
| 10 | 2016 | 31 | |
| 11 | 2015 | 29 | |
| 12 | 2024 | 21 | |
| 13 | 1986 | 21 | |
| 14 | Tarsometatarsal (Lisfranc's) injuries--results of open reduction and internal fixation. | 1995 | 18 |
| 15 | 2023 | 16 | |
| 16 | 1975 | 14 | |
| 17 | 2025 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2022 | 8 | |
| 20 | 2019 | 5 |
About Yuqi Tan
Yuqi Tan is a scholar working on Molecular Biology, Epidemiology, Biophysics, Plant Science and Genetics, having authored 33 papers that have together received 819 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cell Image Analysis Techniques (5 papers), Plant Molecular Biology Research (3 papers), Virus-based gene therapy research (2 papers), Gene Regulatory Network Analysis (2 papers), Postharvest Quality and Shelf Life Management (2 papers), Pregnancy-related medical research (2 papers) and Hibiscus Plant Research Studies (2 papers). The work is most often cited by research in Biophysics (115 citations), Cancer Research (120 citations), Molecular Biology (539 citations), Hepatology (38 citations) and Cell Biology (60 citations). Yuqi Tan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Patrick Cahan, Garry P. Nolan, John W. Hickey, Yury Goltsev, Sebastian Y. Bednarek, Jonathan R. Mayers, Jessica Cardenas, Jianwei Pan, Jure Leskovec and M Snyder. Their work appears in journals such as Nature Communications, Cell Systems, Nature, Nature Methods and Clinical Cancer Research.
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.