Anthony Huffman
Impact in
- Health Informatics top 5%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- vaccines and immunoinformatics approaches 10
- Machine Learning in Bioinformatics 4
- Biomedical Text Mining and Ontologies 3
- Bioinformatics and Genomic Networks 3
-
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Yongqun He (13 shared papers)Edison Ong (6 shared papers)Zuoshuang Xiang (2 shared papers)Haihe Wang (1 shared paper)Junguk Hur (3 shared papers)Yang Wang (2 shared papers)John Beverley (2 shared papers)Xiaolin Yang (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Journal of Biomedical Semantics (3 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Vaccine X (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Anthony Huffman
12 papers receiving 465 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 31
- Infectious Diseases 206
- Modeling and Simulation 36
- Radiology, Nuclear Medicine and Imaging 140
- Health Information Management 21
Countries citing papers authored by Anthony Huffman
This map shows the geographic impact of Anthony Huffman'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 Anthony Huffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Huffman more than expected).
Fields of papers citing papers by Anthony Huffman
This network shows the impact of papers produced by Anthony Huffman. 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 Anthony Huffman. The network helps show where Anthony Huffman may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Huffman, 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 | 2020 | 293 | |
| 2 | 2021 | 77 | |
| 3 | 2020 | 69 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 6 | |
| 8 | CIDO: The community-based coronavirus infectious disease ontology | 2020 | 3 |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 |
About Anthony Huffman
Anthony Huffman is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Pharmacology, having authored 13 papers that have together received 481 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (10 papers), Machine Learning in Bioinformatics (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Biomedical Text Mining and Ontologies (3 papers), Bioinformatics and Genomic Networks (3 papers), interferon and immune responses (2 papers), Influenza Virus Research Studies (2 papers) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Health Informatics (31 citations), Infectious Diseases (206 citations), Modeling and Simulation (36 citations), Radiology, Nuclear Medicine and Imaging (140 citations) and Health Information Management (21 citations). Anthony Huffman has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Yongqun He, Edison Ong, Zuoshuang Xiang, Haihe Wang, Junguk Hur, Yang Wang, John Beverley, Xiaolin Yang, Yingtong Liu and Gilbert S. Omenn. Their work appears in journals such as Frontiers in Immunology, Journal of Biomedical Semantics, Frontiers in Cellular and Infection Microbiology, Vaccine X and Briefings in Bioinformatics.
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.