Dana Cohen

2.4k total citations · 1 hit paper
11 papers, 1.5k citations indexed

About

Dana Cohen is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, Dana Cohen has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Pharmacology. Recurrent topics in Dana Cohen's work include RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (2 papers) and Congenital heart defects research (2 papers). Dana Cohen is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), DNA and Nucleic Acid Chemistry (2 papers) and Congenital heart defects research (2 papers). Dana Cohen collaborates with scholars based in United States, Canada and Israel. Dana Cohen's co-authors include Marilyn Safran, Noa Rappaport, Tsippi Iny Stein, Ron Nudel, Inbar Plaschkes, Michal Twik, Simon Fishilevich, Doron Lancet, Naomi Rosen and Asher Kohn and has published in prestigious journals such as Molecular and Cellular Biology, Genomics and Quarterly Reviews of Biophysics.

In The Last Decade

Dana Cohen

11 papers receiving 1.5k citations

Hit Papers

GeneHancer: genome-wide integration of enhancers and targ... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Cohen United States 7 986 249 209 172 99 11 1.5k
Nobuo Terada Japan 25 1.2k 1.2× 124 0.5× 107 0.5× 80 0.5× 144 1.5× 144 2.3k
Markus Grabenbauer Germany 18 1.1k 1.1× 45 0.2× 264 1.3× 79 0.5× 106 1.1× 27 1.6k
Perrine Paul‐Gilloteaux France 22 733 0.7× 121 0.5× 116 0.6× 129 0.8× 38 0.4× 42 1.6k
Karine M. Valentijn Netherlands 19 542 0.5× 78 0.3× 105 0.5× 51 0.3× 243 2.5× 33 1.5k
Freark Dijk Netherlands 12 596 0.6× 71 0.3× 83 0.4× 36 0.2× 50 0.5× 16 1.1k
Yoko Hiroaki Japan 19 1.7k 1.7× 138 0.6× 208 1.0× 15 0.1× 45 0.5× 27 2.0k
Nathan Alexander United States 23 936 0.9× 77 0.3× 64 0.3× 31 0.2× 39 0.4× 54 1.7k
Brad J. Marsh Australia 19 1.3k 1.3× 106 0.4× 247 1.2× 84 0.5× 54 0.5× 25 2.1k
Jack A. Valentijn Netherlands 17 735 0.7× 65 0.3× 220 1.1× 30 0.2× 169 1.7× 34 1.4k
Jan Philipp Junker Germany 24 1.9k 1.9× 259 1.0× 50 0.2× 292 1.7× 174 1.8× 41 2.4k

Countries citing papers authored by Dana Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Dana Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Cohen

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

All Works

11 of 11 papers shown
1.
Cohen, Dana. (2022). General Designs Reveal Distinct Codes in Protein-Coding and Non-Coding Human DNA. Genes. 13(11). 1970–1970. 2 indexed citations
2.
Cohen, Dana. (2022). General Designs Reveal a Purine-Pyrimidine Structural Code in Human DNA. Mathematics. 10(15). 2723–2723. 1 indexed citations
3.
Rappaport, Noa, Simon Fishilevich, Ron Nudel, et al.. (2017). Rational confederation of genes and diseases: NGS interpretation via GeneCards, MalaCards and VarElect. BioMedical Engineering OnLine. 16(S1). 72–72. 68 indexed citations
4.
Fishilevich, Simon, Ron Nudel, Noa Rappaport, et al.. (2017). GeneHancer: genome-wide integration of enhancers and target genes in GeneCards. Database. 2017. 746 indexed citations breakdown →
5.
Haaland, Derek, Dana Cohen, Courtney Kennedy, et al.. (2009). Closing the osteoporosis care gap – Increased osteoporosis awareness among geriatrics and rehabilitation teams. BMC Geriatrics. 9(1). 28–28. 36 indexed citations
6.
Konsolaki, Mary & Dana Cohen. (2004). Targets for Alzheimer's disease: lessons learnt from flies. 3(2). 64–70. 2 indexed citations
7.
Lebel, Mélanie, Pooja Agarwal, Chi Cheng, et al.. (2003). The Iroquois Homeobox Gene Irx2 Is Not Essential for Normal Development of the Heart and Midbrain-Hindbrain Boundary in Mice. Molecular and Cellular Biology. 23(22). 8216–8225. 44 indexed citations
8.
Tidhar, Avital, Dana Cohen, Alexander Faerman, et al.. (2001). A novel transgenic marker for migrating limb muscle precursors and for vascular smooth muscle cells. Developmental Dynamics. 220(1). 60–73. 53 indexed citations
9.
Cohen, Dana, Chi Cheng, Shuk Han Cheng, & Chi‐chung Hui. (2000). Expression of two novel mouse Iroquois homeobox genes during neurogenesis. Mechanisms of Development. 91(1-2). 317–321. 96 indexed citations
10.
Heel, Marin van, Brent Gowen, Rishi Matadeen, et al.. (2000). Single-particle electron cryo-microscopy: towards atomic resolution. Quarterly Reviews of Biophysics. 33(4). 307–369. 444 indexed citations
11.
Cohen, Dana, Henry H. Heng, Xiaomei Shi, et al.. (1997). Assignment of the Human dUTPase Gene (DUT) to Chromosome 15q15–q21.1 by Fluorescencein SituHybridization. Genomics. 40(1). 213–215. 5 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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