Sandhya Prabhakaran

3.3k total citations · 1 hit paper
24 papers, 1.7k citations indexed

About

Sandhya Prabhakaran is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Sandhya Prabhakaran has authored 24 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Artificial Intelligence and 3 papers in Biophysics. Recurrent topics in Sandhya Prabhakaran's work include Single-cell and spatial transcriptomics (6 papers), Bayesian Methods and Mixture Models (4 papers) and Cell Image Analysis Techniques (3 papers). Sandhya Prabhakaran is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Bayesian Methods and Mixture Models (4 papers) and Cell Image Analysis Techniques (3 papers). Sandhya Prabhakaran collaborates with scholars based in United States, Switzerland and Germany. Sandhya Prabhakaran's co-authors include Dana Pe’er, Elham Azizi, Ambrose Carr, Vaidotas Kiseliovas, Peter T. McKenney, Andrew Cornish, Ruby Wasti, Krishna Kadaveru, Juozas Nainys and George Plitas and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Sandhya Prabhakaran

21 papers receiving 1.7k citations

Hit Papers

Single-Cell Map of Diverse Immune Phenotypes in the Breas... 2018 2026 2020 2023 2018 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
    2018 1.3k citations Elham Azizi, Ambrose Carr et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sandhya Prabhakaran United States 10 900 724 640 334 121 24 1.7k
Brian Houck‐Loomis United States 9 2.2k 2.4× 812 1.1× 380 0.6× 424 1.3× 75 0.6× 16 2.7k
Lars Rønn Olsen Denmark 22 676 0.8× 397 0.5× 282 0.4× 167 0.5× 98 0.8× 51 1.3k
Kimberly S. Smythe United States 13 682 0.8× 589 0.8× 760 1.2× 132 0.4× 81 0.7× 23 1.6k
Leïla Perié France 17 596 0.7× 883 1.2× 283 0.4× 193 0.6× 31 0.3× 33 1.5k
Alicia N. Schep United States 10 1.6k 1.7× 335 0.5× 233 0.4× 362 1.1× 75 0.6× 12 1.9k
Dhaya Seshasayee United States 18 722 0.8× 1.2k 1.6× 272 0.4× 335 1.0× 64 0.5× 29 2.1k
Santiago J. Carmona Switzerland 23 1.0k 1.1× 1.5k 2.1× 1.2k 1.9× 183 0.5× 120 1.0× 38 2.7k
William O’Gorman United States 18 638 0.7× 807 1.1× 411 0.6× 171 0.5× 46 0.4× 29 1.6k
Michael J. T. Stubbington United Kingdom 15 1.2k 1.4× 908 1.3× 231 0.4× 227 0.7× 52 0.4× 22 1.9k
Carmen Gerlach Netherlands 16 556 0.6× 1.2k 1.7× 457 0.7× 150 0.4× 24 0.2× 27 1.8k

Countries citing papers authored by Sandhya Prabhakaran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sandhya Prabhakaran

This figure shows the co-authorship network connecting the top 25 collaborators of Sandhya Prabhakaran. A scholar is included among the top collaborators of Sandhya Prabhakaran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandhya Prabhakaran. Sandhya Prabhakaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Robertson‐Tessi, Mark, Chandler Gatenbee, Jeffrey West, et al.. (2025). Mathematical Oncology: How Modeling Is Transforming Clinical Decision-Making. Cancer Research. 85(24). 4866–4879. 1 indexed citations
2.
Gatenbee, Chandler, et al.. (2024). Spatial analysis of recurrent glioblastoma reveals perivascular niche organization. JCI Insight. 9(12). 9 indexed citations
3.
Prabhakaran, Sandhya, et al.. (2023). The prohibition of Child Marriage (Amendment) Bill, 2021: an analytical perspective. 1(1). 1–1. 1 indexed citations
4.
Gatenbee, Chandler, Ann‐Marie Baker, Sandhya Prabhakaran, et al.. (2023). Virtual alignment of pathology image series for multi-gigapixel whole slide images. Nature Communications. 14(1). 4502–4502. 32 indexed citations
5.
Hormuth, David A., et al.. (2023). PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects. SHILAP Revista de lepidopterología. 2023. 1–11. 4 indexed citations
6.
Prabhakaran, Sandhya. (2022). Sparcle: assigning transcripts to cells in multiplexed images. Bioinformatics Advances. 2(1). vbac048–vbac048. 17 indexed citations
7.
Prabhakaran, Sandhya, Chandler Gatenbee, Mark Robertson‐Tessi, et al.. (2022). Mistic: An open-source multiplexed image t-SNE viewer. Patterns. 3(7). 100523–100523.
8.
Azizi, Elham, Ambrose Carr, George Plitas, et al.. (2018). Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment. Cell. 174(5). 1293–1308.e36. 1250 indexed citations breakdown →
9.
Azizi, Elham, Sandhya Prabhakaran, Ambrose Carr, & Dana Pe’er. (2017). Bayesian Inference for Single-cell Clustering and Imputing. 3(1). 46–46. 29 indexed citations
10.
Prabhakaran, Sandhya, Elham Azizi, Ambrose Carr, & Dana Pe’er. (2016). Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data.. PubMed Central. 48. 1070–1079. 63 indexed citations
11.
Vogt, Julia E., Marius Kloft, Stefan G. Stark, et al.. (2015). Probabilistic clustering of time-evolving distance data. Machine Learning. 100(2-3). 635–654. 2 indexed citations
12.
Giallonardo, Francesca Di, Armin Töpfer, Sandhya Prabhakaran, et al.. (2014). Full-length haplotype reconstruction to infer the structure of heterogeneous virus populations. Nucleic Acids Research. 42(14). e115–e115. 89 indexed citations
13.
Prabhakaran, Sandhya, et al.. (2014). Feasibility and Application of Sulfur In Concrete Structures. 3(8). 1 indexed citations
14.
Prabhakaran, Sandhya, et al.. (2013). HIV Haplotype Inference Using a Propagating Dirichlet Process Mixture Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(1). 182–191. 51 indexed citations
15.
Prabhakaran, Sandhya, et al.. (2013). Recovering networks from distance data. Machine Learning. 92(2-3). 251–283. 2 indexed citations
16.
Töpfer, Armin, Osvaldo Zagordi, Sandhya Prabhakaran, et al.. (2013). Probabilistic Inference of Viral Quasispecies Subject to Recombination. Journal of Computational Biology. 20(2). 113–123. 89 indexed citations
17.
Vogt, Julia E., Sandhya Prabhakaran, Thomas J. Fuchs, & Volker Röth. (2010). The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data. International Conference on Machine Learning. 1111–1118. 8 indexed citations
18.
Prabhakaran, Sandhya, et al.. (2010). Detecting and spotting bombs using wireless sensors and expert systems. 366–371. 7 indexed citations
19.
Kannan, M., et al.. (2010). Rainfall Forecasting Using Data Mining Technique. 41 indexed citations
20.
Prabhakaran, Sandhya, I. Lorini, B. Bacaltchuk, et al.. (2006). Commercial performance and global development status of ProFume® gas fumigant.. 635–641. 4 indexed citations

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.

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