Minh Doan
Impact in
- Biophysics top 0.2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Media Technology top 2%
- Image Processing Techniques and Applications
Papers in
- Biophysics 12
- Cell Image Analysis Techniques 12
-
- Image Processing Techniques and Applications 4
- Co-authors
- Anne E. CarpenterClaire McQuinAllen GoodmanShantanu SinghKyle W. KarhohsTim BeckerBeth A. CiminiJuan Carlos Caicedo
- Journals
- Cytometry Part A (2 papers)Nature Methods (1 paper)Blood (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Nature Reviews Methods Primers (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Minh Doan
18 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Biophysics 813
- Media Technology 242
- Computer Vision and Pattern Recognition 347
- Structural Biology 23
- Health Informatics 18
Countries citing papers authored by Minh Doan
This map shows the geographic impact of Minh Doan'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 Minh Doan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minh Doan more than expected).
Fields of papers citing papers by Minh Doan
This network shows the impact of papers produced by Minh Doan. 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 Minh Doan. The network helps show where Minh Doan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minh Doan, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 81 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 28 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 67 | |
| 14 | 2020 | 43 | |
| 15 | 2019 | 39 | |
| 16 | Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl Hit paper breakdown → | 2019 | 463 |
| 17 | 2019 | 70 | |
| 18 | CellProfiler 3.0: Next-generation image processing for biology Hit paper breakdown → | 2018 | 1172 |
| 19 | 2018 | 108 | |
| 20 | 2017 | 2 |
About Minh Doan
Minh Doan is a scholar working on Biophysics, Media Technology, Computer Vision and Pattern Recognition, Health Information Management and Immunology and Allergy, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (12 papers), Single-cell and spatial transcriptomics (7 papers), Digital Imaging for Blood Diseases (4 papers), Image Processing Techniques and Applications (4 papers), Molecular Biology Techniques and Applications (2 papers), Neural dynamics and brain function (1 paper), Spam and Phishing Detection (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Biophysics (813 citations), Media Technology (242 citations), Computer Vision and Pattern Recognition (347 citations), Structural Biology (23 citations) and Health Informatics (18 citations). Minh Doan has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Anne E. Carpenter, Claire McQuin, Allen Goodman, Shantanu Singh, Kyle W. Karhohs, Tim Becker, Beth A. Cimini, Juan Carlos Caicedo, Derek Thirstrup and Liya Ding. Their work appears in journals such as Cytometry Part A, Nature Methods, Blood, IEEE Journal of Biomedical and Health Informatics and Nature Reviews Methods Primers.
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.