Tamar Arbel

1.1k citations
19 papers · 987 · h-index 13

Impact in

  • Aging top 10%
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Fungal and yeast genetics research
    • CRISPR and Genetic Engineering
    • Photosynthetic Processes and Mechanisms

Papers in

    • DNA Repair Mechanisms 7
    • Fungal and yeast genetics research 5
    • Bacterial biofilms and quorum sensing 3
    • Genomics and Chromatin Dynamics 3
    • Microtubule and mitosis dynamics 4

Tamar Arbel

18 papers receiving 963 citations

Peers

Tamar Arbel
Comparison fields: 5 of 65
  • Aging 29
  • Molecular Biology 800
  • Endocrinology 54
  • Cell Biology 172
  • Genetics 259
Replace Michael S. Esposito with:
Michael S. Esposito United States
Ann E. Reynolds United States
Dawn Foster‐Hartnett United States
Erich Heidenreich Austria
Chaoyou Xue United States
Simon K. Whitehall United Kingdom
Jun Huang China
Cécile Raynaud France
Pierre-Louis Blaiseau France
Stephen J. Aves United Kingdom
Tamar Arbel relative to Michael S. Esposito United States Michael S. Esposito's profile →
Citations per field
00.5×4.9×
Michael S. Esposito · 1×
Citations per year

Countries citing papers authored by Tamar Arbel

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Arbel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1987191
2 1992142
3 1992124
4 1993107
5 199978
6 199378
7 199369
8 199554
9 199749
10 198324
11 199722
12 199319
13 199314
14 19986
15 19994
16 20113
17 20002
18 20101
19 20090

About Tamar Arbel

Tamar Arbel is a scholar working on Molecular Biology, Cell Biology, Plant Science, Genetics and Endocrinology, having authored 19 papers that have together received 987 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Fungal and yeast genetics research (5 papers), Chromosomal and Genetic Variations (4 papers), Microtubule and mitosis dynamics (4 papers), Legionella and Acanthamoeba research (3 papers), Bacterial biofilms and quorum sensing (3 papers), Genomics and Chromatin Dynamics (3 papers) and Water Treatment and Disinfection (2 papers). The work is most often cited by research in Aging (29 citations), Molecular Biology (800 citations), Endocrinology (54 citations), Cell Biology (172 citations) and Genetics (259 citations). Tamar Arbel has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include R. Scott Hawley, Kim S. McKim, Giora Simchen, Martin Goldway, Drora Zenvirth, Amir Sherman, Etana Padan, Janet K. Jang, Edward B. Goldberg and G A Mackie. Their work appears in journals such as Genetics, Water Science & Technology, The EMBO Journal, Science and Journal of Biological Chemistry.

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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