Joseph Nasser

3.9k total citations · 1 hit paper
8 papers, 804 citations indexed

About

Joseph Nasser is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Joseph Nasser has authored 8 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Plant Science. Recurrent topics in Joseph Nasser's work include Genetic Associations and Epidemiology (3 papers), CRISPR and Genetic Engineering (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Joseph Nasser is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), CRISPR and Genetic Engineering (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Joseph Nasser collaborates with scholars based in United States, Germany and United Kingdom. Joseph Nasser's co-authors include J Engreitz, Charles P. Fulco, Sharon R. Grossman, Eric S. Lander, Drew T. Bergman, Michael Kane, Thouis R. Jones, Tung H. Nguyen, Vidya Subramanian and Benjamin R. Doughty and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Joseph Nasser

8 papers receiving 799 citations

Hit Papers

Activity-by-contact model of enhancer–promoter regulation... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joseph Nasser United States 8 679 245 76 63 59 8 804
Drew T. Bergman United States 5 598 0.9× 181 0.7× 60 0.8× 61 1.0× 52 0.9× 8 692
Benjamin R. Doughty United States 4 504 0.7× 147 0.6× 52 0.7× 53 0.8× 37 0.6× 6 564
Melissa D. Zhang United States 3 790 1.2× 376 1.5× 127 1.7× 51 0.8× 36 0.6× 3 939
Yasmina Cuartero Spain 13 684 1.0× 162 0.7× 47 0.6× 210 3.3× 20 0.3× 15 768
Lan T.M. Dao Vietnam 12 461 0.7× 84 0.3× 129 1.7× 46 0.7× 55 0.9× 25 640
Robin H. van der Weide Netherlands 11 1.1k 1.6× 211 0.9× 64 0.8× 341 5.4× 44 0.7× 15 1.2k
Gillian Carpenter United Kingdom 13 568 0.8× 217 0.9× 72 0.9× 66 1.0× 28 0.5× 17 706
Yang Eric Li United States 8 585 0.9× 105 0.4× 157 2.1× 21 0.3× 58 1.0× 13 696
Alec Uebersohn United States 3 1.3k 1.8× 173 0.7× 64 0.8× 370 5.9× 53 0.9× 5 1.3k

Countries citing papers authored by Joseph Nasser

Since Specialization
Citations

This map shows the geographic impact of Joseph Nasser'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 Joseph Nasser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Nasser more than expected).

Fields of papers citing papers by Joseph Nasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph Nasser. 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 Joseph Nasser. The network helps show where Joseph Nasser may publish in the future.

Co-authorship network of co-authors of Joseph Nasser

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Nasser. A scholar is included among the top collaborators of Joseph Nasser 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 Joseph Nasser. Joseph Nasser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Moonen, Jan-Renier, James Chappell, Minyi Shi, et al.. (2022). KLF4 recruits SWI/SNF to increase chromatin accessibility and reprogram the endothelial enhancer landscape under laminar shear stress. Nature Communications. 13(1). 4941–4941. 44 indexed citations
2.
Gazal, Steven, Omer Weissbrod, Farhad Hormozdiari, et al.. (2022). Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity. Nature Genetics. 54(6). 827–836. 73 indexed citations
3.
Bergman, Drew T., Thouis R. Jones, Vincent Liu, et al.. (2022). Compatibility rules of human enhancer and promoter sequences. Nature. 607(7917). 176–184. 81 indexed citations
4.
Dey, Kushal K., Steven Gazal, Bryce van de Geijn, et al.. (2022). SNP-to-gene linking strategies reveal contributions of enhancer-related and candidate master-regulator genes to autoimmune disease. Cell Genomics. 2(7). 100145–100145. 14 indexed citations
5.
Marshall, Jamie L., Benjamin R. Doughty, Vidya Subramanian, et al.. (2020). HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes. Proceedings of the National Academy of Sciences. 117(52). 33404–33413. 24 indexed citations
6.
Fulco, Charles P., Joseph Nasser, Thouis R. Jones, et al.. (2019). Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations. Nature Genetics. 51(12). 1664–1669. 522 indexed citations breakdown →
7.
Hormozdiari, Farhad, Bryce van de Geijn, Joseph Nasser, et al.. (2019). Functional disease architectures reveal unique biological role of transposable elements. Nature Communications. 10(1). 4054–4054. 8 indexed citations
8.
Reshef, Yakir, Hilary K. Finucane, David R. Kelley, et al.. (2018). Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk. Nature Genetics. 50(10). 1483–1493. 38 indexed citations

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.

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