David Amar

5.3k citations
47 papers · 1.2k · h-index 19

Impact in

Papers in

    • Bioinformatics and Genomic Networks 12
    • Gene expression and cancer classification 8
    • Photosynthetic Processes and Mechanisms 2
    • RNA modifications and cancer 2
    • RNA regulation and disease 2
    • Skin Protection and Aging 3

David Amar

44 papers receiving 1.2k citations

Peers

David Amar
Comparison fields: 5 of 128
  • Business and International Management 23
  • Dermatology 85
  • Aging 16
  • Molecular Biology 531
  • Genetics 186
Replace Christopher L. Plaisier with:
Christopher L. Plaisier United States
Yuxi Zhang China
Wenyuan Li China
Claudio Pioli Italy
Xianling Cong China
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David Amar relative to Christopher L. Plaisier United States Christopher L. Plaisier's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside David Amar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Amar Line = papers co-authored together David Amar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006223
2 2017156
3 2013121
4 201873
5 202170
6 201844
7 199844
8 202235
9 202033
10 201832
11 201629
12 201128
13 201525
14 201224
15 201423
16 201922
17 201222
18 201522
19 201420
20 202019

About David Amar

David Amar is a scholar working on Molecular Biology, Dermatology, Genetics, Infectious Diseases and Clinical Psychology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Gene expression and cancer classification (8 papers), Genetic Associations and Epidemiology (5 papers), Skin Protection and Aging (3 papers), Photosynthetic Processes and Mechanisms (2 papers), RNA modifications and cancer (2 papers), Adipose Tissue and Metabolism (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Business and International Management (23 citations), Dermatology (85 citations), Aging (16 citations), Molecular Biology (531 citations) and Genetics (186 citations). David Amar has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Ron Shamir, Hershel M. Safer, Shiran Abadi, Itay Mayrose, Winston X. Yan, Frédéric Flament, Euan Angus Ashley, Roy Eldor, Decio Laks Eizirik and Christian Boîtard. Their work appears in journals such as International Journal of Cosmetic Science, PLoS ONE, PLoS Computational Biology, Nature Communications and Skin Research and Technology.

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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