Daniel A. Barbash
Impact in
Papers in
-
- CRISPR and Genetic Engineering 11
- Genomics and Phylogenetic Studies 10
- Insect Resistance and Genetics 8
- Genetics 29
- Genetic diversity and population structure 14
- Evolution and Genetic Dynamics 12
- Insect and Arachnid Ecology and Behavior 6
- Co-authors
- Shamoni Maheshwari (4 shared papers)Patrick M. Ferree (3 shared papers)John Roote (4 shared papers)Aaron M. Tarone (2 shared papers)Andrew G. Clark (7 shared papers)Nicholas J. Brideau (3 shared papers)Michael P. McGurk (3 shared papers)Erin S. Kelleher (5 shared papers)
- Journals
- Genetics (16 papers)PLoS Genetics (7 papers)G3 Genes Genomes Genetics (4 papers)PLoS Biology (3 papers)Molecular Biology and Evolution (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel A. Barbash
57 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 93
- Genetics 1.4k
- Aging 81
- Plant Science 1.4k
- Molecular Biology 1.7k
- Insect Science 289
Countries citing papers authored by Daniel A. Barbash
This map shows the geographic impact of Daniel A. Barbash'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 A. Barbash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Barbash more than expected).
Fields of papers citing papers by Daniel A. Barbash
This network shows the impact of papers produced by Daniel A. Barbash. 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 A. Barbash. The network helps show where Daniel A. Barbash may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Barbash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 315 | |
| 2 | 2011 | 313 | |
| 3 | 2009 | 257 | |
| 4 | 2003 | 224 | |
| 5 | 2018 | 146 | |
| 6 | 1997 | 90 | |
| 7 | 2000 | 90 | |
| 8 | 2004 | 85 | |
| 9 | 1999 | 83 | |
| 10 | 2014 | 79 | |
| 11 | 1997 | 78 | |
| 12 | 2012 | 75 | |
| 13 | 2008 | 70 | |
| 14 | 2014 | 70 | |
| 15 | 2013 | 57 | |
| 16 | 2018 | 57 | |
| 17 | 2008 | 53 | |
| 18 | 2010 | 52 | |
| 19 | 2017 | 52 | |
| 20 | 2018 | 51 |
About Daniel A. Barbash
Daniel A. Barbash is a scholar working on Molecular Biology, Genetics, Plant Science, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 58 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (29 papers), Genetic diversity and population structure (14 papers), Evolution and Genetic Dynamics (12 papers), CRISPR and Genetic Engineering (11 papers), Genomics and Phylogenetic Studies (10 papers), Insect Resistance and Genetics (8 papers), Insect symbiosis and bacterial influences (8 papers) and Insect and Arachnid Ecology and Behavior (6 papers). The work is most often cited by research in Genetics (1.4k citations), Aging (81 citations), Plant Science (1.4k citations), Molecular Biology (1.7k citations) and Insect Science (289 citations). Daniel A. Barbash has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Shamoni Maheshwari, Patrick M. Ferree, John Roote, Aaron M. Tarone, Andrew G. Clark, Nicholas J. Brideau, Michael P. McGurk, Erin S. Kelleher, Heather A. Flores and Michael Ashburner. Their work appears in journals such as Genetics, PLoS Genetics, G3 Genes Genomes Genetics, PLoS Biology and Molecular Biology and Evolution.
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.