Tamar Arbel
Impact in
- Aging top 10%
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Fungal and yeast genetics research
- Photosynthetic Processes and Mechanisms
- CRISPR and Genetic Engineering
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
- Co-authors
- R. Scott Hawley (6 shared papers)Kim S. McKim (3 shared papers)Giora Simchen (4 shared papers)Martin Goldway (3 shared papers)Drora Zenvirth (2 shared papers)Amir Sherman (2 shared papers)Etana Padan (2 shared papers)Edward B. Goldberg (1 shared paper)
- Journals
- Genetics (5 papers)Water Science & Technology (4 papers)Annual Review of Genetics (1 paper)Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- IsraelUnited StatesJapan
In The Last Decade
Tamar Arbel
19 papers receiving 996 citations
Peers
Comparison fields: 5 of 65
- Aging 28
- Molecular Biology 829
- Cell Biology 175
- Endocrinology 54
- Genetics 258
Countries citing papers authored by Tamar Arbel
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 201 | |
| 2 | 1992 | 145 | |
| 3 | 1992 | 128 | |
| 4 | 1993 | 113 | |
| 5 | 1993 | 79 | |
| 6 | 1999 | 78 | |
| 7 | 1993 | 73 | |
| 8 | 1995 | 57 | |
| 9 | 1997 | 52 | |
| 10 | 1997 | 24 | |
| 11 | 1983 | 24 | |
| 12 | 1993 | 19 | |
| 13 | 1993 | 14 | |
| 14 | 1998 | 6 | |
| 15 | 1999 | 5 | |
| 16 | 1998 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2000 | 2 | |
| 19 | 2010 | 1 | |
| 20 | 2009 | 0 |
About Tamar Arbel
Tamar Arbel is a scholar working on Molecular Biology, Cell Biology, Plant Science, Pollution and Genetics, having authored 20 papers that have together received 1.0k 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), Bacterial biofilms and quorum sensing (3 papers), Genomics and Chromatin Dynamics (3 papers), Legionella and Acanthamoeba research (3 papers) and Water Treatment and Disinfection (2 papers). The work is most often cited by research in Aging (28 citations), Molecular Biology (829 citations), Cell Biology (175 citations), Endocrinology (54 citations) and Genetics (258 citations). Tamar Arbel has collaborated with scholars based in Israel, United States and Japan. Frequent co-authors include R. Scott Hawley, Kim S. McKim, Giora Simchen, Martin Goldway, Drora Zenvirth, Amir Sherman, Etana Padan, Edward B. Goldberg, Shimon Schuldiner and R Karpel. Their work appears in journals such as Genetics, Water Science & Technology, Annual Review of Genetics, Cell and Proceedings of the National Academy of Sciences.
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.