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
- Protein Structure and Dynamics 2
- Machine Learning in Bioinformatics 2
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- Bayesian Methods and Mixture Models 5
- Algorithms and Data Compression 2
- Co-authors
- Ambrose Carr (3 shared papers)Dana Pe’er (3 shared papers)Elham Azizi (4 shared papers)Kristy Choi (1 shared paper)Vaidotas Kiseliovas (1 shared paper)Juozas Nainys (1 shared paper)Peter T. McKenney (1 shared paper)Ruby Wasti (1 shared paper)
- Journals
- Cancer Research (3 papers)Machine Learning (2 papers)Journal of Computational Biology (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Sandhya Prabhakaran
27 papers receiving 1.8k citations
Sandhya Prabhakaran's Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 668
- Oncology 565
- Cancer Research 285
- Virology 70
- Molecular Biology 872
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 30 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 | 1299 |
| 2 | 2013 | 95 | |
| 3 | 2014 | 92 | |
| 4 | Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data. | 2016 | 63 |
| 5 | 2013 | 59 | |
| 6 | Rainfall Forecasting Using Data Mining Technique | 2010 | 49 |
| 7 | 2023 | 39 | |
| 8 | 2017 | 30 | |
| 9 | 2022 | 17 | |
| 10 | 2024 | 14 | |
| 11 | 2012 | 12 | |
| 12 | The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data | 2010 | 11 |
| 13 | 2012 | 9 | |
| 14 | 2010 | 7 | |
| 15 | Commercial performance and global development status of ProFume® gas fumigant. | 2006 | 5 |
| 16 | 2023 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2015 | 2 | |
| 20 | Effect of sulfuryl fluoride on the pinewood nematode in pine wood | 2003 | 2 |
About Sandhya Prabhakaran
Sandhya Prabhakaran is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Ecology and Genetics, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Bayesian Methods and Mixture Models (5 papers), Evolution and Genetic Dynamics (3 papers), Algorithms and Data Compression (2 papers), Insect Pest Control Strategies (2 papers), Cell Image Analysis Techniques (2 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Immunology (668 citations), Oncology (565 citations), Cancer Research (285 citations), Virology (70 citations) and Molecular Biology (872 citations). Sandhya Prabhakaran has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ambrose Carr, Dana Pe’er, Elham Azizi, Kristy Choi, Vaidotas Kiseliovas, Juozas Nainys, Peter T. McKenney, Ruby Wasti, Phuong Dao and Krishna Kadaveru. Their work appears in journals such as Cancer Research, Machine Learning, Journal of Computational Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics and JCI Insight.
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.