Sandhya Prabhakaran
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in ⓘ
-
- Single-cell and spatial transcriptomics 6
- Gene expression and cancer classification 2
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- Bayesian Methods and Mixture Models 4
- Co-authors
- Dana Pe’er (3 shared papers)Elham Azizi (3 shared papers)Ambrose Carr (3 shared papers)Andrew Cornish (1 shared paper)Linas Mažutis (1 shared paper)Krishna Kadaveru (1 shared paper)Kristy Choi (1 shared paper)Phuong Dao (1 shared paper)
- Journals
- Machine Learning (2 papers)Cancer Research (2 papers)Nature Communications (1 paper)Cell (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Sandhya Prabhakaran
21 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 724
- Oncology 640
- Cancer Research 334
- Virology 67
- Molecular Biology 900
Countries citing papers authored by Sandhya Prabhakaran
This map shows the geographic impact of Sandhya Prabhakaran'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 Sandhya Prabhakaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandhya Prabhakaran more than expected).
Fields of papers citing papers by Sandhya Prabhakaran
This network shows the impact of papers produced by Sandhya Prabhakaran. 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 Sandhya Prabhakaran. The network helps show where Sandhya Prabhakaran may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandhya Prabhakaran, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment Hit paper breakdown → | 2018 | 1250 |
| 2 | 2014 | 89 | |
| 3 | 2013 | 89 | |
| 4 | Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data. | 2016 | 63 |
| 5 | 2013 | 51 | |
| 6 | Rainfall Forecasting Using Data Mining Technique | 2010 | 41 |
| 7 | 2023 | 32 | |
| 8 | 2017 | 29 | |
| 9 | 2022 | 17 | |
| 10 | 2024 | 9 | |
| 11 | The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data | 2010 | 8 |
| 12 | 2010 | 7 | |
| 13 | 2023 | 4 | |
| 14 | Commercial performance and global development status of ProFume® gas fumigant. | 2006 | 4 |
| 15 | 2013 | 2 | |
| 16 | Effect of sulfuryl fluoride on the pinewood nematode in pine wood | 2003 | 2 |
| 17 | 2015 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | Feasibility and Application of Sulfur In Concrete Structures | 2014 | 1 |
About Sandhya Prabhakaran
Sandhya Prabhakaran is a scholar working on Molecular Biology, Artificial Intelligence, Biophysics, Virology and Ecology, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Bayesian Methods and Mixture Models (4 papers), Cell Image Analysis Techniques (3 papers), HIV Research and Treatment (2 papers), Evolution and Genetic Dynamics (2 papers), Gene expression and cancer classification (2 papers), Data Management and Algorithms (1 paper) and Fire Detection and Safety Systems (1 paper). The work is most often cited by research in Immunology (724 citations), Oncology (640 citations), Cancer Research (334 citations), Virology (67 citations) and Molecular Biology (900 citations). Sandhya Prabhakaran has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Dana Pe’er, Elham Azizi, Ambrose Carr, Andrew Cornish, Linas Mažutis, Krishna Kadaveru, Kristy Choi, Phuong Dao, Alexander Y. Rudensky and Manu Setty. Their work appears in journals such as Machine Learning, Cancer Research, Nature Communications, Cell and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.