Casey Bergman
Impact in
- Plant Science top 1%
- Chromosomal and Genetic Variations
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Biomedical Text Mining and Ontologies
Papers in
-
- Genomics and Phylogenetic Studies 28
- RNA and protein synthesis mechanisms 11
- Biomedical Text Mining and Ontologies 10
- Genomics and Chromatin Dynamics 9
- Fungal and yeast genetics research 5
-
- Chromosomal and Genetic Variations 31
- Plant Disease Resistance and Genetics 8
- Co-authors
- Martin Kreitman (4 shared papers)Michael Ashburner (6 shared papers)Hadi Quesneville (3 shared papers)Michael Ludwig (2 shared papers)S Celniker (6 shared papers)Martin Gerner (7 shared papers)Goran Nenadić (7 shared papers)Nipam H. Patel (1 shared paper)
- Journals
- Genome biology (6 papers)PLoS ONE (5 papers)Nucleic Acids Research (5 papers)Bioinformatics (5 papers)Genome Biology and Evolution (4 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Casey Bergman
72 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 129
- Plant Science 2.0k
- Molecular Biology 3.5k
- Aging 91
- Genetics 1.0k
- Insect Science 444
Countries citing papers authored by Casey Bergman
This map shows the geographic impact of Casey Bergman'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 Casey Bergman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Bergman more than expected).
Fields of papers citing papers by Casey Bergman
This network shows the impact of papers produced by Casey Bergman. 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 Casey Bergman. The network helps show where Casey Bergman may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey Bergman, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 474 | |
| 2 | 2000 | 448 | |
| 3 | 2010 | 278 | |
| 4 | 2005 | 263 | |
| 5 | 2010 | 239 | |
| 6 | 2007 | 172 | |
| 7 | 2005 | 170 | |
| 8 | 2006 | 157 | |
| 9 | 2015 | 152 | |
| 10 | 2004 | 143 | |
| 11 | 2010 | 142 | |
| 12 | 2001 | 142 | |
| 13 | 2007 | 140 | |
| 14 | 2012 | 138 | |
| 15 | 2002 | 118 | |
| 16 | 2014 | 115 | |
| 17 | 2004 | 97 | |
| 18 | 2012 | 86 | |
| 19 | 2015 | 83 | |
| 20 | 2006 | 80 |
About Casey Bergman
Casey Bergman is a scholar working on Molecular Biology, Plant Science, Genetics, Insect Science and Ecology, having authored 73 papers that have together received 5.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (31 papers), Genomics and Phylogenetic Studies (28 papers), RNA and protein synthesis mechanisms (11 papers), Biomedical Text Mining and Ontologies (10 papers), Genomics and Chromatin Dynamics (9 papers), Plant Disease Resistance and Genetics (8 papers), Fungal and yeast genetics research (5 papers) and Insect symbiosis and bacterial influences (5 papers). The work is most often cited by research in Plant Science (2.0k citations), Molecular Biology (3.5k citations), Aging (91 citations), Genetics (1.0k citations) and Insect Science (444 citations). Casey Bergman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Martin Kreitman, Michael Ashburner, Hadi Quesneville, Michael Ludwig, S Celniker, Martin Gerner, Goran Nenadić, Nipam H. Patel, Raquel Linheiro and Dominique Anxolabéhère. Their work appears in journals such as Genome biology, PLoS ONE, Nucleic Acids Research, Bioinformatics and Genome 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.