Daniel Dar
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in ⓘ
-
- RNA and protein synthesis mechanisms 10
- Genomics and Phylogenetic Studies 4
- RNA modifications and cancer 3
- Single-cell and spatial transcriptomics 2
- Genetics 10
- Bacterial Genetics and Biotechnology 9
- Co-authors
- Rotem Sorek (12 shared papers)Pascale Cossart (3 shared papers)Dianne K. Newman (3 shared papers)J. R. Mellin (2 shared papers)Mikael Koutero (2 shared papers)Long Cai (2 shared papers)Noam Stern‐Ginossar (1 shared paper)Marie‐Anne Nahori (1 shared paper)
- Journals
- Science (3 papers)Nucleic Acids Research (3 papers)mBio (2 papers)Cell Systems (2 papers)Molecular Plant-Microbe Interactions (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Daniel Dar
19 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Medicine 91
- Endocrinology 83
- Genetics 353
- Molecular Biology 797
- Ecology 264
Countries citing papers authored by Daniel Dar
This map shows the geographic impact of Daniel Dar'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 Daniel Dar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dar more than expected).
Fields of papers citing papers by Daniel Dar
This network shows the impact of papers produced by Daniel Dar. 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 Daniel Dar. The network helps show where Daniel Dar may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dar, 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 | 2016 | 245 | |
| 2 | Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution Hit paper breakdown → | 2021 | 184 |
| 3 | 2014 | 122 | |
| 4 | 2018 | 74 | |
| 5 | 2018 | 51 | |
| 6 | 2016 | 50 | |
| 7 | 2020 | 46 | |
| 8 | 2018 | 41 | |
| 9 | 2018 | 41 | |
| 10 | 2019 | 40 | |
| 11 | 2010 | 33 | |
| 12 | 2017 | 31 | |
| 13 | 2016 | 31 | |
| 14 | 2016 | 29 | |
| 15 | 2012 | 15 | |
| 16 | 2018 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 1 |
About Daniel Dar
Daniel Dar is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Epidemiology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Bacterial Genetics and Biotechnology (9 papers), Genomics and Phylogenetic Studies (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Bacteriophages and microbial interactions (3 papers), RNA modifications and cancer (3 papers), Microbial Community Ecology and Physiology (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Molecular Medicine (91 citations), Endocrinology (83 citations), Genetics (353 citations), Molecular Biology (797 citations) and Ecology (264 citations). Daniel Dar has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Rotem Sorek, Pascale Cossart, Dianne K. Newman, J. R. Mellin, Mikael Koutero, Long Cai, Noam Stern‐Ginossar, Marie‐Anne Nahori, Daniela Prasse and Ruth A. Schmitz. Their work appears in journals such as Science, Nucleic Acids Research, mBio, Cell Systems and Molecular Plant-Microbe Interactions.
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.