William Arndt
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
-
- Genomics and Phylogenetic Studies
- Bacillus and Francisella bacterial research
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 10
- Machine Learning in Bioinformatics 2
- Genetics 8
- Genome Rearrangement Algorithms 6
- Virus-based gene therapy research 2
- Co-authors
- Alex Bateman (1 shared paper)ROBERT FINN (1 shared paper)Jody Clements (1 shared paper)Travis J. Wheeler (1 shared paper)Sean R. Eddy (1 shared paper)Benjamin L. Miller (1 shared paper)Jijun Tang (10 shared papers)Bertram L. Jacobs (5 shared papers)
- Journals
- PLoS ONE (4 papers)Lab on a Chip (1 paper)Electroanalysis (1 paper)Advances in experimental medicine and biology (1 paper)Faraday Discussions (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
William Arndt
21 papers receiving 998 citations
William Arndt's Hit Papers
Peers
Comparison fields: 5 of 98
- Virology 155
- Molecular Biology 655
- Endocrinology 42
- Plant Science 284
- Ecology 148
Countries citing papers authored by William Arndt
This map shows the geographic impact of William Arndt'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 William Arndt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Arndt more than expected).
Fields of papers citing papers by William Arndt
This network shows the impact of papers produced by William Arndt. 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 William Arndt. The network helps show where William Arndt may publish in the future.
Co-authors
The 25 scholars most cited alongside William Arndt, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HMMER web server: 2015 update Hit paper breakdown → | 2015 | 696 |
| 2 | 2015 | 72 | |
| 3 | 2011 | 45 | |
| 4 | 2016 | 39 | |
| 5 | 2009 | 27 | |
| 6 | 2008 | 23 | |
| 7 | 2012 | 21 | |
| 8 | 2012 | 16 | |
| 9 | 2016 | 14 | |
| 10 | 2023 | 11 | |
| 11 | 2008 | 11 | |
| 12 | 2006 | 7 | |
| 13 | 2007 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2014 | 4 | |
| 16 | 2008 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2011 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2011 | 1 |
About William Arndt
William Arndt is a scholar working on Molecular Biology, Genetics, Plant Science, Virology and Epidemiology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Genome Rearrangement Algorithms (6 papers), Chromosomal and Genetic Variations (4 papers), Poxvirus research and outbreaks (3 papers), Herpesvirus Infections and Treatments (3 papers), HIV Research and Treatment (2 papers), Machine Learning in Bioinformatics (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Virology (155 citations), Molecular Biology (655 citations), Endocrinology (42 citations), Plant Science (284 citations) and Ecology (148 citations). William Arndt has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Alex Bateman, ROBERT FINN, Jody Clements, Travis J. Wheeler, Sean R. Eddy, Benjamin L. Miller, Jijun Tang, Bertram L. Jacobs, Karen V. Kibler and Trung Huynh. Their work appears in journals such as PLoS ONE, Lab on a Chip, Electroanalysis, Advances in experimental medicine and biology and Faraday Discussions.
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.