Aditya Pratapa

1.3k total citations · 1 hit paper
17 papers, 548 citations indexed

About

Aditya Pratapa is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Aditya Pratapa has authored 17 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Biomedical Engineering. Recurrent topics in Aditya Pratapa's work include Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (6 papers) and Immune cells in cancer (4 papers). Aditya Pratapa is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (6 papers) and Immune cells in cancer (4 papers). Aditya Pratapa collaborates with scholars based in United States, Australia and India. Aditya Pratapa's co-authors include T. M. Murali, Amogh P. Jalihal, Aditya Bharadwaj, Jeffrey Law, Michael Doron, Juan Carlos Caicedo, Karthik Raman, Shankar Balachandran, Wolfgang M. Pernice and Omkar S. Mohite and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and Nature Methods.

In The Last Decade

Aditya Pratapa

15 papers receiving 545 citations

Hit Papers

Benchmarking algorithms for gene regulatory network infer... 2020 2026 2022 2024 2020 100 200 300 400
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. Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
    2020 412 citations Aditya Pratapa, Amogh P. Jalihal et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aditya Pratapa United States 6 476 89 34 30 23 17 548
Aditya Bharadwaj United States 6 428 0.9× 47 0.5× 26 0.8× 30 1.0× 33 1.4× 17 508
Bin Duan China 11 534 1.1× 42 0.5× 29 0.9× 52 1.7× 40 1.7× 19 631
Haotian Cui Canada 5 400 0.8× 82 0.9× 37 1.1× 59 2.0× 43 1.9× 9 537
Zeina R. Al Sayed France 4 295 0.6× 72 0.8× 25 0.7× 39 1.3× 47 2.0× 6 412
Jean‐Baptiste Pettit United Kingdom 5 473 1.0× 82 0.9× 49 1.4× 67 2.2× 11 0.5× 6 559
Noriko Hiroi Japan 12 245 0.5× 70 0.8× 57 1.7× 12 0.4× 14 0.6× 43 460
Dan Tenenbaum United States 5 592 1.2× 40 0.4× 29 0.9× 41 1.4× 27 1.2× 8 788
Siyan Liu United States 2 380 0.8× 78 0.9× 26 0.8× 45 1.5× 17 0.7× 2 457
Thalia E. Chan United Kingdom 4 491 1.0× 81 0.9× 23 0.7× 77 2.6× 28 1.2× 5 562
Amogh P. Jalihal United States 4 404 0.8× 45 0.5× 11 0.3× 28 0.9× 18 0.8× 8 429

Countries citing papers authored by Aditya Pratapa

Since Specialization
Citations

This map shows the geographic impact of Aditya Pratapa'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 Aditya Pratapa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Pratapa more than expected).

Fields of papers citing papers by Aditya Pratapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aditya Pratapa. 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 Aditya Pratapa. The network helps show where Aditya Pratapa may publish in the future.

Co-authorship network of co-authors of Aditya Pratapa

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Pratapa. A scholar is included among the top collaborators of Aditya Pratapa 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 Aditya Pratapa. Aditya Pratapa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Jhaveri, Niyati, Aditya Pratapa, Riccardo Dolcetti, et al.. (2024). Abstract 3763: Comparative spatial analyses of the tumor immune landscape in different mouse models of glioblastoma. Cancer Research. 84(6_Supplement). 3763–3763. 1 indexed citations
3.
Dallos, Matthew C., Aleksandar Obradović, Nivedita Chowdhury, et al.. (2024). Androgen Deprivation Therapy Drives a Distinct Immune Phenotype in Localized Prostate Cancer. Clinical Cancer Research. 30(22). 5218–5230. 5 indexed citations
4.
Pratapa, Aditya, Ning Ma, Bassem Ben Cheikh, et al.. (2023). Spatial phenotyping of cytokine signatures reflecting the immunotherapy responses in head and neck cancer. The Journal of Immunology. 210(Supplement_1). 171.09–171.09. 1 indexed citations
5.
Quek, Camelia, Aditya Pratapa, Inês Pires da Silva, et al.. (2023). Abstract 4621: Distinct spatial and molecular maps in the tumour microenvironment of resistant melanoma patients treated with checkpoint inhibitor immunotherapy. Cancer Research. 83(7_Supplement). 4621–4621.
6.
7.
Pernice, Wolfgang M., et al.. (2023). Out of Distribution Generalization via Interventional Style Transfer in Single-Cell Microscopy. 4326–4335. 5 indexed citations
8.
Cheikh, Bassem Ben, Aditya Pratapa, Anand Bhaskar, et al.. (2022). Abstract 3877: Deep ultrahigh-plex spatial phenotyping of human cancer tissues. Cancer Research. 82(12_Supplement). 3877–3877. 5 indexed citations
9.
10.
Pratapa, Aditya, Michael Doron, & Juan Carlos Caicedo. (2021). Image-based cell phenotyping with deep learning. Current Opinion in Chemical Biology. 65. 9–17. 65 indexed citations
11.
Pratapa, Aditya, Amogh P. Jalihal, Jeffrey Law, Aditya Bharadwaj, & T. M. Murali. (2020). Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data. Nature Methods. 17(2). 147–154. 412 indexed citations breakdown →
12.
Pratapa, Aditya, Amogh P. Jalihal, Jeffrey Law, Aditya Bharadwaj, & T. M. Murali. (2020). How to build regulatory networks from single-cell gene expression data. 1–1. 1 indexed citations
13.
Pratapa, Aditya, et al.. (2019). Reconstructing signaling pathways using regular language constrained paths. Bioinformatics. 35(14). i624–i633. 3 indexed citations
14.
Pratapa, Aditya, Neil Adames, Pavel Kraikivski, et al.. (2018). CrossPlan: systematic planning of genetic crosses to validate mathematical models. Bioinformatics. 34(13). 2237–2244. 2 indexed citations
15.
Pratapa, Aditya, et al.. (2018). Efficient Synthesis of Mutants Using Genetic Crosses. 53–62. 1 indexed citations
16.
Raman, Karthik, Aditya Pratapa, Omkar S. Mohite, & Shankar Balachandran. (2017). Computational Prediction of Synthetic Lethals in Genome-Scale Metabolic Models Using Fast-SL. Methods in molecular biology. 1716. 315–336. 4 indexed citations
17.
Pratapa, Aditya, Shankar Balachandran, & Karthik Raman. (2015). Fast-SL: an efficient algorithm to identify synthetic lethal sets in metabolic networks. Bioinformatics. 31(20). 3299–3305. 41 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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