Chen Dor
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
- Plant-Microbe Interactions and Immunity
- Chromosomal and Genetic Variations
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- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- RNA regulation and disease
Papers in
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- Single-cell and spatial transcriptomics 2
- Plant Gene Expression Analysis 1
- Histone Deacetylase Inhibitors Research 1
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Michal Bassani‐Sternberg (1 shared paper)Taleb Hajouj (1 shared paper)Marie‐Jeanne Carp (1 shared paper)Shimon Gepstein (1 shared paper)Gazalah Sabehi (1 shared paper)Ninette Amariglio (2 shared papers)Gideon Rechavi (2 shared papers)Jasmine Jacob‐Hirsch (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Neoplasia (1 paper)Cell Research (1 paper)RNA Biology (1 paper)The Plant Journal (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Chen Dor
9 papers receiving 459 citations
Peers
Comparison fields: 5 of 60
- Plant Science 317
- Molecular Biology 330
- Cancer Research 31
- Genetics 36
- Reproductive Medicine 10
Countries citing papers authored by Chen Dor
This map shows the geographic impact of Chen Dor'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 Chen Dor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Dor more than expected).
Fields of papers citing papers by Chen Dor
This network shows the impact of papers produced by Chen Dor. 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 Chen Dor. The network helps show where Chen Dor may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Dor, 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 | 2003 | 335 | |
| 2 | 2018 | 52 | |
| 3 | 2016 | 35 | |
| 4 | 2016 | 22 | |
| 5 | 2016 | 20 | |
| 6 | 2020 | 10 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 2021 | 1 |
About Chen Dor
Chen Dor is a scholar working on Molecular Biology, Immunology, Hematology, Plant Science and Organic Chemistry, having authored 9 papers that have together received 478 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers), Single-cell and spatial transcriptomics (2 papers), Immune Cell Function and Interaction (2 papers), Plant Gene Expression Analysis (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Chromosomal and Genetic Variations (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Plant Science (317 citations), Molecular Biology (330 citations), Cancer Research (31 citations), Genetics (36 citations) and Reproductive Medicine (10 citations). Chen Dor has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Michal Bassani‐Sternberg, Taleb Hajouj, Marie‐Jeanne Carp, Shimon Gepstein, Gazalah Sabehi, Ninette Amariglio, Gideon Rechavi, Jasmine Jacob‐Hirsch, Shlomi Constantini and Michal Yalon. Their work appears in journals such as Journal of Visualized Experiments, Neoplasia, Cell Research, RNA Biology and The Plant Journal.
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.