Shantanu Singh
Impact in
- Biophysics top 0.05%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Media Technology top 0.5%
- Image Processing Techniques and Applications
Papers in
- Biophysics 48
- Cell Image Analysis Techniques 48
- Advanced Fluorescence Microscopy Techniques 9
-
- Image Processing Techniques and Applications 18
- Co-authors
- Anne E. CarpenterAllen GoodmanClaire McQuinJuan Carlos CaicedoTim BeckerKyle W. KarhohsBeth A. CiminiMinh Doan
- Journals
- Nature Communications (7 papers)Scientific Reports (4 papers)Molecular Biology of the Cell (4 papers)Nature Methods (3 papers)SLAS DISCOVERY (3 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Shantanu Singh
70 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Biophysics 1.8k
- Media Technology 615
- Structural Biology 42
- Molecular Biology 1.7k
- Computer Vision and Pattern Recognition 494
Countries citing papers authored by Shantanu Singh
This map shows the geographic impact of Shantanu Singh'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 Shantanu Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shantanu Singh more than expected).
Fields of papers citing papers by Shantanu Singh
This network shows the impact of papers produced by Shantanu Singh. 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 Shantanu Singh. The network helps show where Shantanu Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shantanu Singh, 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 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 21 | |
| 5 | 2024 | 18 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 19 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 40 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 9 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 77 | |
| 15 | 2020 | 67 | |
| 16 | 2019 | 26 | |
| 17 | 2017 | 77 | |
| 18 | 2017 | 97 | |
| 19 | 2016 | 87 | |
| 20 | Non-parametric population analysis of cellular phenotypes | 2011 | 3 |
About Shantanu Singh
Shantanu Singh is a scholar working on Biophysics, Media Technology, Computer Vision and Pattern Recognition, Molecular Biology and Computational Theory and Mathematics, having authored 79 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (48 papers), Single-cell and spatial transcriptomics (18 papers), Image Processing Techniques and Applications (18 papers), Advanced Fluorescence Microscopy Techniques (9 papers), Genetics, Bioinformatics, and Biomedical Research (9 papers), Digital Imaging for Blood Diseases (7 papers), 3D Printing in Biomedical Research (7 papers) and Cellular Mechanics and Interactions (6 papers). The work is most often cited by research in Biophysics (1.8k citations), Media Technology (615 citations), Structural Biology (42 citations), Molecular Biology (1.7k citations) and Computer Vision and Pattern Recognition (494 citations). Shantanu Singh has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Anne E. Carpenter, Allen Goodman, Claire McQuin, Juan Carlos Caicedo, Tim Becker, Kyle W. Karhohs, Beth A. Cimini, Minh Doan, Derek Thirstrup and Lee Kamentsky. Their work appears in journals such as Nature Communications, Scientific Reports, Molecular Biology of the Cell, Nature Methods and SLAS DISCOVERY.
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.