Tamar Dvash

615 citations
9 papers · 474 · h-index 9

Impact in

    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Retinal Development and Disorders
    • Renal and related cancers
    • Retinal Diseases and Treatments

Papers in

    • Pluripotent Stem Cells Research 7
    • CRISPR and Genetic Engineering 6
    • Genomics and Chromatin Dynamics 1
    • Retinal Development and Disorders 1
    • Animal Genetics and Reproduction 3

Tamar Dvash

9 papers receiving 463 citations

Peers

Tamar Dvash
Comparison fields: 5 of 56
  • Molecular Biology 388
  • Ophthalmology 42
  • Genetics 85
  • Developmental Neuroscience 8
  • Cancer Research 25
Replace Manfredi Anna with:
Manfredi Anna Italy
Muhammad Sajid Hussain Germany
Yotam Menuchin-Lasowski Israel
Ming Lou United States
Yan-Ping Li China
Wen-Li Deng China
Marina Pavlou United States
Madalena Carido Germany
Greg Martin United States
Drina D. Sta. Iglesia United States
Tamar Dvash relative to Manfredi Anna Italy Manfredi Anna's profile →
Citations per field
00.5×1.5×
Manfredi Anna · 1×
Citations per year

Countries citing papers authored by Tamar Dvash

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Dvash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tamar Dvash, 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 Tamar Dvash Line = papers co-authored together Tamar Dvash links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2010152
2 2004107
3 200455
4 201051
5 200637
6 200630
7 201417
8 200915
9 202210

About Tamar Dvash

Tamar Dvash is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Pharmacology and Epidemiology, having authored 9 papers that have together received 474 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (3 papers), Genomics and Chromatin Dynamics (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), 3D Printing in Biomedical Research (1 paper), Antifungal resistance and susceptibility (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Molecular Biology (388 citations), Ophthalmology (42 citations), Genetics (85 citations), Developmental Neuroscience (8 citations) and Cancer Research (25 citations). Tamar Dvash has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Nissim Benvenisty, Guoping Fan, Rachel Eiges, Ofra Yanuka, Neta Lavon, Juehua Yu, Tanja Diemer, Zhicheng Ma, Kevin Huang and Gabriel H. Travis. Their work appears in journals such as Pediatric Research, Best Practice & Research Clinical Obstetrics & Gynaecology, Epigenetics, Stem Cells and PLoS ONE.

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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