David Weese
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Paleontology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 15
- Identification and Quantification in Food 4
- Ecology 15
- Crustacean biology and ecology 9
- Isotope Analysis in Ecology 2
- Marine animal studies overview 2
- Co-authors
- Knut Reinert (16 shared papers)Tobias Rausch (4 shared papers)Andreas Gogol‐Döring (4 shared papers)Anne‐Katrin Emde (6 shared papers)Manuel Holtgrewe (3 shared papers)Scott R. Santos (10 shared papers)Kevin M. Kocot (3 shared papers)Johanna T. Cannon (3 shared papers)
- Journals
- Bioinformatics (7 papers)BMC Bioinformatics (3 papers)Biological Bulletin (2 papers)Hydrobiologia (2 papers)Annual Review of Genomics and Human Genetics (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
David Weese
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 810
- Paleontology 74
- Aquatic Science 74
- Oceanography 123
- Ecology 226
Countries citing papers authored by David Weese
This map shows the geographic impact of David Weese'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 Weese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Weese more than expected).
Fields of papers citing papers by David Weese
This network shows the impact of papers produced by David Weese. 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 Weese. The network helps show where David Weese may publish in the future.
Co-authors
The 25 scholars most cited alongside David Weese, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 222 | |
| 2 | 2016 | 157 | |
| 3 | 2009 | 104 | |
| 4 | 2012 | 100 | |
| 5 | 2014 | 93 | |
| 6 | 2015 | 68 | |
| 7 | 2017 | 58 | |
| 8 | 2010 | 55 | |
| 9 | 2013 | 54 | |
| 10 | 2011 | 54 | |
| 11 | 2014 | 45 | |
| 12 | 2012 | 39 | |
| 13 | 2008 | 36 | |
| 14 | 2016 | 36 | |
| 15 | 2009 | 30 | |
| 16 | 2014 | 26 | |
| 17 | 2014 | 22 | |
| 18 | 2011 | 22 | |
| 19 | 2009 | 22 | |
| 20 | 2014 | 19 |
About David Weese
David Weese is a scholar working on Molecular Biology, Ecology, Oceanography, Genetics and Artificial Intelligence, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Marine Biology and Ecology Research (9 papers), Crustacean biology and ecology (9 papers), Genetic diversity and population structure (7 papers), Algorithms and Data Compression (4 papers), Identification and Quantification in Food (4 papers), Isotope Analysis in Ecology (2 papers) and Marine animal studies overview (2 papers). The work is most often cited by research in Molecular Biology (810 citations), Paleontology (74 citations), Aquatic Science (74 citations), Oceanography (123 citations) and Ecology (226 citations). David Weese has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Knut Reinert, Tobias Rausch, Andreas Gogol‐Döring, Anne‐Katrin Emde, Manuel Holtgrewe, Scott R. Santos, Kevin M. Kocot, Johanna T. Cannon, Kenneth M. Halanych and Damien S. Waits. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Biological Bulletin, Hydrobiologia and Annual Review of Genomics and Human Genetics.
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.