Nezar Abdennur
- Molecular Biology top 1%
- Plant Science top 1%
- Genetics top 2%
- Cancer Research top 5%
- Physiology top 10%
- Co-authors
- Leonid A. MirnyMaxim ImakaevAnton GoloborodkoGeoffrey FudenbergJob DekkerJohan H. GibcusElphège P. NoraAnne-Laure Valton
- Topics
- Genomics and Chromatin Dynamics (15 papers)RNA Research and Splicing (9 papers)Chromosomal and Genetic Variations (7 papers)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Nezar Abdennur
27 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 6.0k
- Plant Science 1.9k
- Genetics 1.1k
- Cancer Research 350
- Physiology 232
Countries citing papers authored by Nezar Abdennur
This map shows the geographic impact of Nezar Abdennur'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 Nezar Abdennur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nezar Abdennur more than expected).
Fields of papers citing papers by Nezar Abdennur
This network shows the impact of papers produced by Nezar Abdennur. 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 Nezar Abdennur. The network helps show where Nezar Abdennur may publish in the future.
Co-authorship network of co-authors of Nezar Abdennur
This figure shows the co-authorship network connecting the top 25 collaborators of Nezar Abdennur. A scholar is included among the top collaborators of Nezar Abdennur 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 Nezar Abdennur. Nezar Abdennur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Cooltools: Enabling high-resolution Hi-C analysis in Pythonbreakdown → | 86 |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 58 | |
| 7 | 5 | |
| 8 | Ultrastructural Details of Mammalian Chromosome Architecturebreakdown → | 336 |
| 9 | Cooler: scalable storage for Hi-C data and other genomically labeled arraysbreakdown → | 386 |
| 10 | 39 | |
| 11 | 149 | |
| 12 | Chromatin organization by an interplay of loop extrusion and compartmental segregationbreakdown → | 421 |
| 13 | 16 | |
| 14 | 292 | |
| 15 | 186 | |
| 16 | Two independent modes of chromatin organization revealed by cohesin removalbreakdown → | 791 |
| 17 | 16 | |
| 18 | Formation of Chromosomal Domains by Loop Extrusionbreakdown → | 1255 |
| 19 | 55 | |
| 20 | 48 |
About Nezar Abdennur
Nezar Abdennur is a scholar working on Molecular Biology, Plant Science and Genetics, having authored 29 papers that have together received 6.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), RNA Research and Splicing (9 papers) and Chromosomal and Genetic Variations (7 papers). The work is most often cited by research in Molecular Biology (6.0k citations), Plant Science (1.9k citations) and Genetics (1.1k citations). Nezar Abdennur has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Leonid A. Mirny, Maxim Imakaev, Anton Goloborodko, Geoffrey Fudenberg, Job Dekker, Johan H. Gibcus, Elphège P. Nora, Anne-Laure Valton, Benoit G. Bruneau and Alec Uebersohn. Their work appears in journals such as Nature, New England Journal of Medicine 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.