Anshul Kundaje
- Molecular Biology top 0.5%
- Genetics top 0.5%
- Cancer Research top 1%
- Immunology top 5%
- Plant Science top 5%
- Co-authors
- Alan P. BoyleM SnyderHaley M. AmemiyaWilliam J. GreenleafSerafim BatzoglouPeyton GreensideAnne BrunetMarc A. Schaub
- Topics
- Genomics and Chromatin Dynamics (49 papers)RNA and protein synthesis mechanisms (29 papers)RNA Research and Splicing (28 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Anshul Kundaje
107 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 8.0k
- Genetics 1.9k
- Cancer Research 1.5k
- Immunology 814
- Plant Science 737
Countries citing papers authored by Anshul Kundaje
This map shows the geographic impact of Anshul Kundaje'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 Anshul Kundaje with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anshul Kundaje more than expected).
Fields of papers citing papers by Anshul Kundaje
This network shows the impact of papers produced by Anshul Kundaje. 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 Anshul Kundaje. The network helps show where Anshul Kundaje may publish in the future.
Co-authorship network of co-authors of Anshul Kundaje
This figure shows the co-authorship network connecting the top 25 collaborators of Anshul Kundaje. A scholar is included among the top collaborators of Anshul Kundaje 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 Anshul Kundaje. Anshul Kundaje is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Short tandem repeats bind transcription factors to tune eukaryotic gene expressionbreakdown → | 98 |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics | 2 |
| 7 | 198 | |
| 8 | 30 | |
| 9 | 41 | |
| 10 | Opportunities and challenges for transcriptome-wide association studiesbreakdown → | 506 |
| 11 | 51 | |
| 12 | 104 | |
| 13 | 68 | |
| 14 | 80 | |
| 15 | 4 | |
| 16 | TF-MoDISco v0.4.2.2-alpha: Technical Note | 8 |
| 17 | 33 | |
| 18 | 11 | |
| 19 | Unsupervised Learning from Noisy Networks with Applications to Hi-C Data | 3 |
| 20 | 0 |
About Anshul Kundaje
Anshul Kundaje is a scholar working on Aging, Molecular Biology and Cancer Research, having authored 110 papers that have together received 10.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (49 papers), RNA and protein synthesis mechanisms (29 papers) and RNA Research and Splicing (28 papers). The work is most often cited by research in Aging (296 citations), Molecular Biology (8.0k citations) and Cancer Research (1.5k citations). Anshul Kundaje has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alan P. Boyle, M Snyder, Haley M. Amemiya, William J. Greenleaf, Serafim Batzoglou, Peyton Greenside, Anne Brunet, Marc A. Schaub, Howard Y. Chang and Ewan Birney. Their work appears in journals such as Nature, Science and Cell.
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.