Ayshwarya Subramanian

9.7k total citations · 2 hit papers
16 papers, 2.8k citations indexed

About

Ayshwarya Subramanian is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Ayshwarya Subramanian has authored 16 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Ayshwarya Subramanian's work include Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (5 papers) and Gene expression and cancer classification (5 papers). Ayshwarya Subramanian is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (5 papers) and Gene expression and cancer classification (5 papers). Ayshwarya Subramanian collaborates with scholars based in United States, Australia and Japan. Ayshwarya Subramanian's co-authors include Curtis Huttenhower, Long H. Nguyen, Himel Mallick, George Weingart, Aviv Regev, Timothy L. Tickle, Joseph N. Paulson, Héctor Corrada Bravo, Levi Waldron and Lauren J. McIver and has published in prestigious journals such as Cell, Circulation and Nature Communications.

In The Last Decade

Ayshwarya Subramanian

16 papers receiving 2.8k citations

Hit Papers

Multivariable association discovery in population-scale m... 2019 2026 2021 2023 2021 2019 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. Multivariable association discovery in population-scale meta-omics studies
    2021 1.3k citations Himel Mallick, Ali Rahnavard et al. PLoS Computational Biology profile →
  2. A Cellular Taxonomy of the Bone Marrow Stroma in Homeostasis and Leukemia
    2019 558 citations Ninib Baryawno, Dariusz Przybylski 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
Ayshwarya Subramanian United States 12 1.8k 419 405 272 258 16 2.8k
Masaru Murakami Japan 31 1.4k 0.8× 349 0.8× 538 1.3× 189 0.7× 211 0.8× 237 3.7k
Scott J. Tebbutt Canada 30 1.3k 0.7× 243 0.6× 405 1.0× 256 0.9× 254 1.0× 131 3.3k
Brigitta M. N. Brinkman Netherlands 24 1.3k 0.7× 324 0.8× 755 1.9× 122 0.4× 308 1.2× 34 2.7k
Michael R. Hughes Canada 30 2.1k 1.2× 460 1.1× 1.0k 2.5× 123 0.5× 355 1.4× 108 3.8k
Wei Feng China 24 1.2k 0.7× 855 2.0× 496 1.2× 208 0.8× 213 0.8× 80 3.6k
Ami S. Bhatt United States 33 2.8k 1.6× 240 0.6× 351 0.9× 185 0.7× 559 2.2× 107 4.8k
Clelia Peano Italy 33 3.0k 1.7× 698 1.7× 380 0.9× 106 0.4× 263 1.0× 83 4.4k
Anna Esteve‐Codina Spain 32 1.3k 0.7× 170 0.4× 612 1.5× 112 0.4× 361 1.4× 131 3.2k
Zhi Liu China 30 1.6k 0.9× 334 0.8× 542 1.3× 66 0.2× 435 1.7× 146 3.4k
Kendall S. Frazier United States 21 1.0k 0.6× 166 0.4× 299 0.7× 102 0.4× 180 0.7× 54 2.7k

Countries citing papers authored by Ayshwarya Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Ayshwarya Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayshwarya Subramanian

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

All Works

16 of 16 papers shown
1.
Mangani, Davide, Ayshwarya Subramanian, Linglin Huang, et al.. (2024). Transcription factor TCF1 binds to RORγt and orchestrates a regulatory network that determines homeostatic Th17 cell state. Immunity. 57(11). 2565–2582.e6. 10 indexed citations
2.
Marshall, Jamie L., Teia Noel, Qingbo S. Wang, et al.. (2022). High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways. iScience. 25(4). 104097–104097. 47 indexed citations
3.
Subramanian, Ayshwarya, et al.. (2022). Biology-inspired data-driven quality control for scientific discovery in single-cell transcriptomics. Genome biology. 23(1). 267–267. 28 indexed citations
4.
Tang, Ruihan, Nandini Acharya, Ayshwarya Subramanian, et al.. (2022). Tim-3 adapter protein Bat3 acts as an endogenous regulator of tolerogenic dendritic cell function. Science Immunology. 7(69). eabm0631–eabm0631. 36 indexed citations
5.
Mallick, Himel, Ali Rahnavard, Lauren J. McIver, et al.. (2021). Multivariable association discovery in population-scale meta-omics studies. PLoS Computational Biology. 17(11). e1009442–e1009442. 1302 indexed citations breakdown →
6.
Subramanian, Ayshwarya, Eriene-Heidi Sidhom, Maheswarareddy Emani, et al.. (2019). Single cell census of human kidney organoids shows reproducibility and diminished off-target cells after transplantation. Nature Communications. 10(1). 5462–5462. 139 indexed citations
7.
Baryawno, Ninib, Dariusz Przybylski, Monika S. Kowalczyk, et al.. (2019). A Cellular Taxonomy of the Bone Marrow Stroma in Homeostasis and Leukemia. Cell. 177(7). 1915–1932.e16. 558 indexed citations breakdown →
8.
Korthauer, Keegan, Patrick K. Kimes, Claire Duvallet, et al.. (2019). A practical guide to methods controlling false discoveries in computational biology. Genome biology. 20(1). 118–118. 252 indexed citations
9.
Vellarikkal, Shamsudheen Karuthedath, Elazer R. Edelman, Lan Nguyễn, et al.. (2019). Single-Cell Analysis of the Normal Mouse Aorta Reveals Functionally Distinct Endothelial Cell Populations. Circulation. 140(2). 147–163. 223 indexed citations
10.
Mehta, Raaj S., Galeb Abu-Ali, David A. Drew, et al.. (2018). Stability of the human faecal microbiome in a cohort of adult men. Nature Microbiology. 3(3). 347–355. 193 indexed citations
11.
Subramanian, Ayshwarya & Russell Schwartz. (2015). Reference-free inference of tumor phylogenies from single-cell sequencing data. BMC Genomics. 16(S11). S7–S7. 11 indexed citations
12.
Subramanian, Ayshwarya, Stanley E. Shackney, & Russell Schwartz. (2013). Novel Multisample Scheme for Inferring Phylogenetic Markers from Whole Genome Tumor Profiles. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(6). 1422–1431. 3 indexed citations
13.
Subramanian, Ayshwarya, Stanley E. Shackney, & Russell Schwartz. (2012). Inference of Tumor Phylogenies from Genomic Assays on Heterogeneous Samples. SHILAP Revista de lepidopterología. 2012. 1–16. 8 indexed citations
14.
Subramanian, Ayshwarya, Stanley E. Shackney, & Russell Schwartz. (2011). Inference of tumor phylogenies from genomic assays on heterogeneous samples. Figshare. 172–181. 1 indexed citations
15.
Tolliver, David, Charalampos E. Tsourakakis, Ayshwarya Subramanian, Stanley E. Shackney, & Russell Schwartz. (2010). Robust unmixing of tumor states in array comparative genomic hybridization data. Bioinformatics. 26(12). i106–i114. 20 indexed citations
16.
Mohan, Adithi, Mallikarjuna Kandalam, Hema L. Ramkumar, et al.. (2006). Retinoblastoma: Expression of HLA-G. Ocular Immunology and Inflammation. 14(4). 207–213. 12 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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