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 8
- Machine Learning in Bioinformatics 4
- Biomedical Text Mining and Ontologies 4
- Bioinformatics and Genomic Networks 3
-
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Yongqun He (15 shared papers)Edison Ong (8 shared papers)Zuoshuang Xiang (2 shared papers)Haihe Wang (1 shared paper)Junguk Hur (3 shared papers)Barry Smith (2 shared papers)John Beverley (2 shared papers)Hong Yu (1 shared paper)
- Journals
- Journal of Biomedical Semantics (3 papers)Frontiers in Immunology (3 papers)Scientific Data (2 papers)Briefings in Bioinformatics (1 paper)Aging Cell (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Anthony Huffman
13 papers receiving 526 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 32
- Infectious Diseases 212
- Modeling and Simulation 44
- Radiology, Nuclear Medicine and Imaging 158
- Health Information Management 26
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 | 338 | |
| 2 | 2021 | 83 | |
| 3 | 2020 | 81 | |
| 4 | 2022 | 14 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 6 | |
| 8 | CIDO: The community-based coronavirus infectious disease ontology | 2020 | 3 |
| 9 | 2025 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 1 | |
| 14 | Ontology-based representation and analysis of conditional vaccine immune responses using Omics data. | 2023 | 0 |
| 15 | 2026 | 0 | |
| 16 | 2024 | 0 |
About Anthony Huffman
Anthony Huffman is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Endocrine and Autonomic Systems, having authored 16 papers that have together received 549 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (8 papers), Machine Learning in Bioinformatics (4 papers), Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), interferon and immune responses (2 papers), Influenza Virus Research Studies (2 papers) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Health Informatics (32 citations), Infectious Diseases (212 citations), Modeling and Simulation (44 citations), Radiology, Nuclear Medicine and Imaging (158 citations) and Health Information Management (26 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, Barry Smith, John Beverley, Hong Yu, Xiaolin Yang and Luonan Chen. Their work appears in journals such as Journal of Biomedical Semantics, Frontiers in Immunology, Scientific Data, Briefings in Bioinformatics and Aging Cell.
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.