Saket Choudhary
- Immunology top 5%
- interferon and immune responses 1
- Molecular Biology top 10%
- RNA Research and Splicing 4
- Single-cell and spatial transcriptomics 3
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 2
- Glycosylation and Glycoproteins Research 1
- Biophysics top 5%
- Cancer Research top 10%
- Neurology top 10%
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- Antifungal resistance and susceptibility 4
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- Fungal Infections and Studies 4
- Co-authors
- Rahul SatijaAustin HartmanMadeline H. KowalskiYuhan HaoGesmira MollaCarlos Fernandez‐GrandaPaul HoffmanTim Stuart
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Saket Choudhary
19 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 443
- Molecular Biology 1.1k
- Biophysics 88
- Cancer Research 227
- Neurology 109
Countries citing papers authored by Saket Choudhary
This map shows the geographic impact of Saket Choudhary'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 Saket Choudhary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saket Choudhary more than expected).
Fields of papers citing papers by Saket Choudhary
This network shows the impact of papers produced by Saket Choudhary. 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 Saket Choudhary. The network helps show where Saket Choudhary may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saket Choudhary, 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 | 2025 | 2 | |
| 2 | 2024 | 18 | |
| 3 | 2024 | 0 | |
| 4 | Dictionary learning for integrative, multimodal and scalable single-cell analysisbreakdown → | 2023 | 1325 |
| 5 | 2023 | 5 | |
| 6 | Comparison and evaluation of statistical error models for scRNA-seqbreakdown → | 2022 | 237 |
| 7 | 2021 | 11 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 61 | |
| 14 | 2019 | 14 | |
| 15 | 2019 | 37 | |
| 16 | 2017 | 20 | |
| 17 | 2016 | 71 | |
| 18 | 2015 | 37 | |
| 19 | 2013 | 1 | |
| 20 | 2013 | 7 |
About Saket Choudhary
Saket Choudhary is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (4 papers), Fungal Infections and Studies (4 papers), RNA Research and Splicing (4 papers), Single-cell and spatial transcriptomics (3 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Immunology (443 citations), Molecular Biology (1.1k citations) and Biophysics (88 citations). Saket Choudhary has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Rahul Satija, Austin Hartman, Madeline H. Kowalski, Yuhan Hao, Gesmira Molla, Carlos Fernandez‐Granda, Paul Hoffman, Tim Stuart, Avi Srivastava and Andrew D. Smith. Their work appears in journals such as Cell, Nature Biotechnology and Bioinformatics.
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.