David Amar

5.0k total citations
46 papers, 1.2k citations indexed

About

David Amar is a scholar working on Molecular Biology, Dermatology and Genetics. According to data from OpenAlex, David Amar has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Dermatology and 7 papers in Genetics. Recurrent topics in David Amar's work include Bioinformatics and Genomic Networks (12 papers), Gene expression and cancer classification (11 papers) and Skin Protection and Aging (9 papers). David Amar is often cited by papers focused on Bioinformatics and Genomic Networks (12 papers), Gene expression and cancer classification (11 papers) and Skin Protection and Aging (9 papers). David Amar collaborates with scholars based in Israel, United States and France. David Amar's co-authors include Ron Shamir, Hershel M. Safer, Itay Mayrose, Winston X. Yan, Shiran Abadi, Frédéric Flament, Euan A. Ashley, Thomas Klein, Décio L. Eizirik and Danielle Melloul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

David Amar

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Amar Israel 19 624 197 148 130 123 46 1.2k
Ning Weng China 16 428 0.7× 281 1.4× 94 0.6× 133 1.0× 125 1.0× 36 1.1k
Evelyn Bord United States 18 430 0.7× 79 0.4× 98 0.7× 80 0.6× 63 0.5× 21 1.2k
Yong Liang China 19 648 1.0× 99 0.5× 81 0.5× 283 2.2× 65 0.5× 61 1.4k
Jean−Fred Fontaine Germany 21 1.1k 1.8× 144 0.7× 91 0.6× 34 0.3× 58 0.5× 63 1.6k
Audrey S. Wang United States 11 766 1.2× 59 0.3× 186 1.3× 283 2.2× 202 1.6× 24 1.6k
Jiyuan An Australia 24 494 0.8× 270 1.4× 105 0.7× 27 0.2× 55 0.4× 58 1.4k
Rong Yuan United States 21 924 1.5× 191 1.0× 95 0.6× 70 0.5× 85 0.7× 64 2.0k
Stephen M. Prouty United States 21 695 1.1× 70 0.4× 224 1.5× 236 1.8× 216 1.8× 40 1.5k
Wenbiao Chen China 19 1.0k 1.6× 154 0.8× 112 0.8× 98 0.8× 558 4.5× 53 2.0k

Countries citing papers authored by David Amar

Since Specialization
Citations

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

Fields of papers citing papers by David Amar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Amar

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

All Works

20 of 20 papers shown
1.
Haykal, Diala, Frédéric Flament, David Amar, et al.. (2025). Cosmetogenomics unveiled: a systematic review of AI, genomics, and the future of personalized skincare. Frontiers in Artificial Intelligence. 8. 1660356–1660356.
2.
Flament, Frédéric, Peggy Sextius, Yan Wang, et al.. (2024). A Bayesian network meta‐analysis of 14 molecules inhibiting UV daylight‐induced pigmentation. Journal of the European Academy of Dermatology and Venereology. 38(8). 1566–1574. 3 indexed citations
3.
Mukherjee, Sumit, Zachary R. McCaw, David Amar, et al.. (2024). EmbedGEM: a framework to evaluate the utility of embeddings for genetic discovery. Bioinformatics Advances. 4(1). vbae135–vbae135. 1 indexed citations
4.
O’Sullivan, Jack W., Theresia M. Schnurr, Pagé C. Goddard, et al.. (2023). Genetic architecture of cardiac dynamic flow volumes. Nature Genetics. 56(2). 245–257. 12 indexed citations
5.
Flament, Frédéric, Ruowei Jiang, David Amar, et al.. (2023). Objective and automatic grading system of facial signs from smartphones’ pictures in South African men: Validation versus dermatologists and characterization of changes with age. Skin Research and Technology. 29(4). e13257–e13257. 3 indexed citations
6.
Amar, David, Maléne E. Lindholm, Jessica Norrbom, et al.. (2021). Time trajectories in the transcriptomic response to exercise - a meta-analysis. Nature Communications. 12(1). 3471–3471. 64 indexed citations
7.
Amar, David, Nasa Sinnott-Armstrong, Euan A. Ashley, & Manuel A. Rivas. (2021). Graphical analysis for phenome-wide causal discovery in genotyped population-scale biobanks. Nature Communications. 12(1). 350–350. 13 indexed citations
8.
Flament, Frédéric, et al.. (2019). Distinct Habits Of Sun Exposures Lead To Different Impacts On Some Facial Signs Of Chinese Men Of Different Ages. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Flament, Frédéric, et al.. (2019). <p>Distinct Habits Of Sun Exposures Lead To Different Impacts On Some Facial Signs Of Chinese Men Of Different Ages</p>. Clinical Cosmetic and Investigational Dermatology. Volume 12. 833–841. 13 indexed citations
10.
Amar, David, et al.. (2018). FOCS: a novel method for analyzing enhancer and gene activity patterns infers an extensive enhancer–promoter map. Genome biology. 19(1). 56–56. 47 indexed citations
11.
Tikkanen, Emmi, Stefan Gustafsson, David Amar, et al.. (2018). Biological Insights Into Muscular Strength: Genetic Findings in the UK Biobank. Scientific Reports. 8(1). 6451–6451. 67 indexed citations
12.
Abadi, Shiran, Winston X. Yan, David Amar, & Itay Mayrose. (2017). A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action. PLoS Computational Biology. 13(10). e1005807–e1005807. 141 indexed citations
13.
Amar, David, Shai Izraeli, & Ron Shamir. (2017). Utilizing somatic mutation data from numerous studies for cancer research: proof of concept and applications. Oncogene. 36(24). 3375–3383. 13 indexed citations
14.
Maron‐Katz, Adi, David Amar, Eti Ben Simon, Talma Hendler, & Ron Shamir. (2016). RichMind: A Tool for Improved Inference from Large-Scale Neuroimaging Results. PLoS ONE. 11(7). e0159643–e0159643. 4 indexed citations
15.
Bell, Rachel E., Tamar Golan, Danna Sheinboim, et al.. (2016). Enhancer methylation dynamics contribute to cancer plasticity and patient mortality. Genome Research. 26(5). 601–611. 84 indexed citations
16.
Domingo, Aloysius, David Amar, Karen Grütz, et al.. (2016). Evidence of TAF1 dysfunction in peripheral models of X-linked dystonia-parkinsonism. Cellular and Molecular Life Sciences. 73(16). 3205–3215. 27 indexed citations
17.
18.
Sharon, Haim, David Amar, Gabriel Mircus, et al.. (2011). PrtT-Regulated Proteins Secreted by Aspergillus fumigatus Activate MAPK Signaling in Exposed A549 Lung Cells Leading to Necrotic Cell Death. PLoS ONE. 6(3). e17509–e17509. 27 indexed citations
19.
Amar, David, Hao Zhang, Charles W. Hogue, et al.. (2004). 1079-81 Preoperative risk factors for post-coronary artery bypass graft atrial fibrillation. Journal of the American College of Cardiology. 43(5). A272–A272. 1 indexed citations
20.
Amar, David, Martin Fleisher, Carol B. Pantuck, et al.. (1998). Persistent Alterations of the Autonomic Nervous System after Noncardiac Surgery . Anesthesiology. 89(1). 30–42. 41 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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