Darren A. Cusanovich
- Molecular Biology top 1%
- Cancer Research top 2%
- Immunology top 5%
- Genetics top 5%
- Biophysics top 0.5%
- Co-authors
- Jay ShendureRiza M. DazaCole TrapnellFrank J. SteemersAndrew C. AdeyHannah A. PlinerLena ChristiansenJonathan S. Packer
- Topics
- Single-cell and spatial transcriptomics (10 papers)Genomics and Chromatin Dynamics (8 papers)RNA Research and Splicing (5 papers)
- Cited by
- AgingBiophysicsMolecular Biology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Darren A. Cusanovich
27 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 4.1k
- Cancer Research 818
- Immunology 528
- Genetics 491
- Biophysics 422
Countries citing papers authored by Darren A. Cusanovich
This map shows the geographic impact of Darren A. Cusanovich'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 Darren A. Cusanovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darren A. Cusanovich more than expected).
Fields of papers citing papers by Darren A. Cusanovich
This network shows the impact of papers produced by Darren A. Cusanovich. 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 Darren A. Cusanovich. The network helps show where Darren A. Cusanovich may publish in the future.
Co-authorship network of co-authors of Darren A. Cusanovich
This figure shows the co-authorship network connecting the top 25 collaborators of Darren A. Cusanovich. A scholar is included among the top collaborators of Darren A. Cusanovich 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 Darren A. Cusanovich. Darren A. Cusanovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 54 | |
| 8 | 230 | |
| 9 | 70 | |
| 10 | Joint profiling of chromatin accessibility and gene expression in thousands of single cellsbreakdown → | 585 |
| 11 | 6 | |
| 12 | Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Databreakdown → | 413 |
| 13 | A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibilitybreakdown → | 474 |
| 14 | Comprehensive single-cell transcriptional profiling of a multicellular organismbreakdown → | 896 |
| 15 | 93 | |
| 16 | 81 | |
| 17 | 13 | |
| 18 | Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexingbreakdown → | 829 |
| 19 | 149 | |
| 20 | 31 |
About Darren A. Cusanovich
Darren A. Cusanovich is a scholar working on Aging, Molecular Biology and Genetics, having authored 28 papers that have together received 4.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Genomics and Chromatin Dynamics (8 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Aging (227 citations), Biophysics (422 citations) and Molecular Biology (4.1k citations). Darren A. Cusanovich has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jay Shendure, Riza M. Daza, Cole Trapnell, Frank J. Steemers, Andrew C. Adey, Hannah A. Pliner, Lena Christiansen, Jonathan S. Packer, Yoav Gilad and Junyue Cao. 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.