David Gresham
Impact in
Papers in
-
- Fungal and yeast genetics research 22
- RNA and protein synthesis mechanisms 13
- Genomics and Phylogenetic Studies 12
- Gene Regulatory Network Analysis 8
- RNA Research and Splicing 7
- Gene expression and cancer classification 6
- Genetics 21
- Evolution and Genetic Dynamics 11
- Co-authors
- David Botstein (11 shared papers)Maitreya J. Dunham (7 shared papers)Jungeui Hong (4 shared papers)Leonid Kruglyak (5 shared papers)Luba V. Kalaydjieva (5 shared papers)Naomi Ziv (6 shared papers)Edoardo M. Airoldi (3 shared papers)Viktor M. Boer (2 shared papers)
- Journals
- PLoS Genetics (6 papers)The American Journal of Human Genetics (4 papers)PLoS ONE (4 papers)eLife (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
David Gresham
79 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 155
- Aging 104
- Genetics 1.5k
- Molecular Biology 3.0k
- Plant Science 652
- Food Science 305
Countries citing papers authored by David Gresham
This map shows the geographic impact of David Gresham'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 David Gresham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gresham more than expected).
Fields of papers citing papers by David Gresham
This network shows the impact of papers produced by David Gresham. 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 David Gresham. The network helps show where David Gresham may publish in the future.
Co-authors
The 25 scholars most cited alongside David Gresham, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 446 | |
| 2 | 2008 | 348 | |
| 3 | 2004 | 345 | |
| 4 | 2010 | 329 | |
| 5 | 2000 | 309 | |
| 6 | 2006 | 221 | |
| 7 | 2009 | 213 | |
| 8 | 2008 | 177 | |
| 9 | 2001 | 173 | |
| 10 | 2001 | 132 | |
| 11 | 2004 | 129 | |
| 12 | 2010 | 107 | |
| 13 | 2020 | 105 | |
| 14 | 2014 | 96 | |
| 15 | 2007 | 93 | |
| 16 | 2014 | 87 | |
| 17 | 2009 | 84 | |
| 18 | 2014 | 81 | |
| 19 | 2019 | 80 | |
| 20 | 2013 | 77 |
About David Gresham
David Gresham is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Neurology, having authored 82 papers that have together received 4.8k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (22 papers), RNA and protein synthesis mechanisms (13 papers), Genomics and Phylogenetic Studies (12 papers), Evolution and Genetic Dynamics (11 papers), Gene Regulatory Network Analysis (8 papers), Chromosomal and Genetic Variations (8 papers), RNA Research and Splicing (7 papers) and Gene expression and cancer classification (6 papers). The work is most often cited by research in Aging (104 citations), Genetics (1.5k citations), Molecular Biology (3.0k citations), Plant Science (652 citations) and Food Science (305 citations). David Gresham has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include David Botstein, Maitreya J. Dunham, Jungeui Hong, Leonid Kruglyak, Luba V. Kalaydjieva, Naomi Ziv, Edoardo M. Airoldi, Viktor M. Boer, Olga G. Troyanskaya and Curtis Huttenhower. Their work appears in journals such as PLoS Genetics, The American Journal of Human Genetics, PLoS ONE, eLife 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.