Arlo Randall
Impact in
- Virology top 5%
- Molecular Biology top 2%
- vaccines and immunoinformatics approaches
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
Papers in
-
- Escherichia coli research studies 5
- Co-authors
- Pierre BaldiJianlin ChengMichael J. SweredoskiChr̀istophe MagnanPhilip L. FelgnerD. Huw DaviesMichael ZellerAdam Vigil
- Journals
- Bioinformatics (5 papers)PLoS ONE (4 papers)Molecular & Cellular Proteomics (2 papers)Proteins Structure Function and Bioinformatics (2 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- United StatesUnited KingdomKenya
In The Last Decade
Arlo Randall
42 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Virology 216
- Molecular Biology 3.1k
- Parasitology 291
- Microbiology 206
- Infectious Diseases 603
Countries citing papers authored by Arlo Randall
This map shows the geographic impact of Arlo Randall'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 Arlo Randall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arlo Randall more than expected).
Fields of papers citing papers by Arlo Randall
This network shows the impact of papers produced by Arlo Randall. 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 Arlo Randall. The network helps show where Arlo Randall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arlo Randall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 15 | |
| 4 | 2021 | 3 | |
| 5 | 2019 | 21 | |
| 6 | 2019 | 26 | |
| 7 | 2019 | 9 | |
| 8 | 2017 | 28 | |
| 9 | 2015 | 68 | |
| 10 | 2013 | 31 | |
| 11 | 2012 | 46 | |
| 12 | 2012 | 56 | |
| 13 | 2011 | 46 | |
| 14 | 2010 | 306 | |
| 15 | 2008 | 199 | |
| 16 | 2008 | 21 | |
| 17 | SCRATCH: a protein structure and structural feature prediction server Hit paper breakdown → | 2005 | 824 |
| 18 | Prediction of protein stability changes for single‐site mutations using support vector machines Hit paper breakdown → | 2005 | 807 |
| 19 | 2005 | 325 | |
| 20 | 2004 | 5 |
About Arlo Randall
Arlo Randall is a scholar working on Endocrinology, Microbiology, Parasitology, Infectious Diseases and Virology, having authored 44 papers that have together received 4.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Bacteriophages and microbial interactions (7 papers), vaccines and immunoinformatics approaches (6 papers), Escherichia coli research studies (5 papers), RNA and protein synthesis mechanisms (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Malaria Research and Control (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Virology (216 citations), Molecular Biology (3.1k citations), Parasitology (291 citations), Microbiology (206 citations) and Infectious Diseases (603 citations). Arlo Randall has collaborated with scholars based in United States, United Kingdom and Kenya. Frequent co-authors include Pierre Baldi, Jianlin Cheng, Michael J. Sweredoski, Chr̀istophe Magnan, Philip L. Felgner, D. Huw Davies, Michael Zeller, Adam Vigil, Matthew A. Kayala and Xiaowu Liang. Their work appears in journals such as Bioinformatics, PLoS ONE, Molecular & Cellular Proteomics, Proteins Structure Function and Bioinformatics and The Journal of Infectious Diseases.
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.