Ayshwarya Subramanian
- Biological Psychiatry top 5%
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 5
- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 3
- Metabolomics and Mass Spectrometry Studies 1
- Hematology top 5%
- Acute Myeloid Leukemia Research 1
- Periodontics top 5%
- Immunology top 10%
- T-cell and B-cell Immunology 2
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- Cancer Genomics and Diagnostics 6
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- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Himel MallickLong H. NguyenCurtis HuttenhowerSuvo ChatterjeeJoseph N. PaulsonSiyuan MaHéctor Corrada BravoBoyu Ren
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Ayshwarya Subramanian
16 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Biological Psychiatry 83
- Molecular Biology 1.8k
- Hematology 272
- Periodontics 95
- Immunology 405
Countries citing papers authored by Ayshwarya Subramanian
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
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
The 25 scholars most cited alongside Ayshwarya Subramanian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 10 | |
| 2 | 2022 | 47 | |
| 3 | 2022 | 28 | |
| 4 | 2022 | 36 | |
| 5 | Multivariable association discovery in population-scale meta-omics studiesbreakdown → | 2021 | 1302 |
| 6 | 2019 | 139 | |
| 7 | A Cellular Taxonomy of the Bone Marrow Stroma in Homeostasis and Leukemiabreakdown → | 2019 | 558 |
| 8 | 2019 | 252 | |
| 9 | 2019 | 223 | |
| 10 | 2018 | 193 | |
| 11 | 2015 | 11 | |
| 12 | 2013 | 3 | |
| 13 | 2012 | 8 | |
| 14 | 2011 | 1 | |
| 15 | 2010 | 20 | |
| 16 | 2006 | 12 |
About Ayshwarya Subramanian
Ayshwarya Subramanian is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 16 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (3 papers), Genomic variations and chromosomal abnormalities (3 papers), T-cell and B-cell Immunology (2 papers), Acute Myeloid Leukemia Research (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Biological Psychiatry (83 citations), Molecular Biology (1.8k citations) and Hematology (272 citations). Ayshwarya Subramanian has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Himel Mallick, Long H. Nguyen, Curtis Huttenhower, Suvo Chatterjee, Joseph N. Paulson, Siyuan Ma, Héctor Corrada Bravo, Boyu Ren, Lauren J. McIver and Yancong Zhang. Their work appears in journals such as Cell, Circulation and Nature Communications.
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.