Yuval Kluger
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
- Cancer-related gene regulation
- Single-cell and spatial transcriptomics
Papers in
-
- Gene expression and cancer classification 21
- Single-cell and spatial transcriptomics 20
- Genomics and Chromatin Dynamics 17
- Epigenetics and DNA Methylation 11
- Bioinformatics and Genomic Networks 11
- Co-authors
- Emil MottolaMark GersteinFabio ParisiBrian David DynlachtUri ShahamFred CooperTingting JiangHarriet M. Kluger
- Journals
- Nucleic Acids Research (8 papers)Clinical Cancer Research (7 papers)Proceedings of the National Academy of Sciences (7 papers)Molecular Cell (6 papers)Nature Communications (5 papers)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Yuval Kluger
153 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Cancer Research 1.6k
- Molecular Biology 7.2k
- Immunology 1.5k
- Oncology 1.8k
- Cell Biology 1.0k
Countries citing papers authored by Yuval Kluger
This map shows the geographic impact of Yuval Kluger'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 Yuval Kluger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Kluger more than expected).
Fields of papers citing papers by Yuval Kluger
This network shows the impact of papers produced by Yuval Kluger. 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 Yuval Kluger. The network helps show where Yuval Kluger may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuval Kluger, 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 | 2023 | 9 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 125 | |
| 5 | 2022 | 58 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 68 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 29 | |
| 11 | 2019 | 40 | |
| 12 | Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data Hit paper breakdown → | 2019 | 323 |
| 13 | 2018 | 13 | |
| 14 | 2017 | 58 | |
| 15 | 2017 | 111 | |
| 16 | 2014 | 57 | |
| 17 | 2011 | 77 | |
| 18 | 2009 | 50 | |
| 19 | 2008 | 110 | |
| 20 | A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data Hit paper breakdown → | 2003 | 916 |
About Yuval Kluger
Yuval Kluger is a scholar working on Biophysics, Molecular Biology, Immunology, Cancer Research and Nuclear and High Energy Physics, having authored 155 papers that have together received 12.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (21 papers), Single-cell and spatial transcriptomics (20 papers), Genomics and Chromatin Dynamics (17 papers), Immune Cell Function and Interaction (13 papers), Epigenetics and DNA Methylation (11 papers), Bioinformatics and Genomic Networks (11 papers), T-cell and B-cell Immunology (10 papers) and Cancer Genomics and Diagnostics (9 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (7.2k citations), Immunology (1.5k citations), Oncology (1.8k citations) and Cell Biology (1.0k citations). Yuval Kluger has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Emil Mottola, Mark Gerstein, Fabio Parisi, Brian David Dynlacht, Uri Shaham, Fred Cooper, Tingting Jiang, Harriet M. Kluger, Alexandre Blais and Jonathan Bates. Their work appears in journals such as Nucleic Acids Research, Clinical Cancer Research, Proceedings of the National Academy of Sciences, Molecular Cell 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.