Neva C. Durand
- Molecular Biology top 0.5%
- Plant Science top 0.2%
- Genetics top 0.5%
- Cancer Research top 2%
- Immunology top 5%
- Co-authors
- Erez Lieberman AidenEric S. LanderIdo MacholMiriam HuntleySuhas S.P. RaoMuhammad S. ShamimJames RobinsonArina D. Omer
- Topics
- Genomics and Chromatin Dynamics (10 papers)Chromosomal and Genetic Variations (7 papers)Genomics and Phylogenetic Studies (6 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Neva C. Durand
14 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 9.8k
- Plant Science 4.1k
- Genetics 2.6k
- Cancer Research 670
- Immunology 650
Countries citing papers authored by Neva C. Durand
This map shows the geographic impact of Neva C. Durand'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 Neva C. Durand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neva C. Durand more than expected).
Fields of papers citing papers by Neva C. Durand
This network shows the impact of papers produced by Neva C. Durand. 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 Neva C. Durand. The network helps show where Neva C. Durand may publish in the future.
Co-authorship network of co-authors of Neva C. Durand
This figure shows the co-authorship network connecting the top 25 collaborators of Neva C. Durand. A scholar is included among the top collaborators of Neva C. Durand 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 Neva C. Durand. Neva C. Durand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 54 | |
| 3 | 36 | |
| 4 | Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbationsbreakdown → | 522 |
| 5 | Juicebox.js Provides a Cloud-Based Visualization System for Hi-C Databreakdown → | 294 |
| 6 | De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffolds | 137 |
| 7 | 42 | |
| 8 | De novo assembly of the Aedes aegypti genome using Hi-C yields chromosome-length scaffoldsbreakdown → | 1607 |
| 9 | 181 | |
| 10 | Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experimentsbreakdown → | 2026 |
| 11 | Juicebox Provides a Visualization System for Hi-C Contact Maps with Unlimited Zoombreakdown → | 1242 |
| 12 | 82 | |
| 13 | Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomesbreakdown → | 1146 |
| 14 | A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Loopingbreakdown → | 4449 |
| 15 | The new 3D-images tool to rapid drawing the avalanche limits: procedure and first validation | 1 |
About Neva C. Durand
Neva C. Durand is a scholar working on Plant Science, Molecular Biology and Management, Monitoring, Policy and Law, having authored 15 papers that have together received 11.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Chromosomal and Genetic Variations (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Molecular Biology (9.8k citations), Plant Science (4.1k citations) and Genetics (2.6k citations). Neva C. Durand has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Erez Lieberman Aiden, Eric S. Lander, Ido Machol, Miriam Huntley, Suhas S.P. Rao, Muhammad S. Shamim, James Robinson, Arina D. Omer, Elena K. Stamenova and Adrian L. Sanborn. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.