Ryan B. Shaw
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Immunology top 10%
- interferon and immune responses
Papers in
-
- Semantic Web and Ontologies 14
- Natural Language Processing Techniques 5
-
- Web Data Mining and Analysis 3
- Co-authors
- Raphaël Troncy (1 shared paper)Lynda Hardman (1 shared paper)Patrick Schmitz (2 shared papers)Yiming Liu (1 shared paper)David A. Shamma (1 shared paper)Marc Davis (1 shared paper)Eric C Kansa (2 shared papers)Anindya Datta (1 shared paper)
- Journals
- Nature (4 papers)Proceedings of the American Society for Information Science and Technology (4 papers)Transplantation and Cellular Therapy (2 papers)Bulletin of the Institute of Classical Studies (1 paper)International Journal on Digital Libraries (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Ryan B. Shaw
38 papers receiving 1.5k citations
Ryan B. Shaw's Hit Papers
Peers
Comparison fields: 5 of 139
- Infectious Diseases 502
- Immunology 253
- Neurology 111
- Computer Vision and Pattern Recognition 156
- Genetics 182
Countries citing papers authored by Ryan B. Shaw
This map shows the geographic impact of Ryan B. Shaw'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 Ryan B. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan B. Shaw more than expected).
Fields of papers citing papers by Ryan B. Shaw
This network shows the impact of papers produced by Ryan B. Shaw. 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 Ryan B. Shaw. The network helps show where Ryan B. Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan B. Shaw, 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 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 641 |
| 2 | Whole-genome sequencing reveals host factors underlying critical COVID-19 Hit paper breakdown → | 2022 | 228 |
| 3 | 2009 | 174 | |
| 4 | GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 Hit paper breakdown → | 2023 | 121 |
| 5 | 2007 | 60 | |
| 6 | 2023 | 56 | |
| 7 | 2006 | 29 | |
| 8 | 2011 | 29 | |
| 9 | 2020 | 27 | |
| 10 | 2021 | 24 | |
| 11 | 2016 | 19 | |
| 12 | 2015 | 18 | |
| 13 | 2005 | 16 | |
| 14 | 2016 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2006 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2012 | 7 | |
| 19 | 2008 | 7 | |
| 20 | 2014 | 7 |
About Ryan B. Shaw
Ryan B. Shaw is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Infectious Diseases, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (14 papers), Biomedical Text Mining and Ontologies (5 papers), Natural Language Processing Techniques (5 papers), Video Analysis and Summarization (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers), Web Data Mining and Analysis (3 papers) and Digital Humanities and Scholarship (3 papers). The work is most often cited by research in Infectious Diseases (502 citations), Immunology (253 citations), Neurology (111 citations), Computer Vision and Pattern Recognition (156 citations) and Genetics (182 citations). Ryan B. Shaw has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Raphaël Troncy, Lynda Hardman, Patrick Schmitz, Yiming Liu, David A. Shamma, Marc Davis, Eric C Kansa, Anindya Datta, Debra VanderMeer and Kaushik Dutta. Their work appears in journals such as Nature, Proceedings of the American Society for Information Science and Technology, Transplantation and Cellular Therapy, Bulletin of the Institute of Classical Studies and International Journal on Digital Libraries.
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.