Bruce Schultz
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 7
- HIV Research and Treatment 7
-
- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 3
- Co-authors
- Hendrik Streeck (7 shared papers)Nelson L. Michael (6 shared papers)Merlin L. Robb (6 shared papers)Galit Alter (6 shared papers)Michael A. Eller (5 shared papers)Jeffrey E. Teigler (3 shared papers)Mary Marovich (4 shared papers)Franco Pissani (4 shared papers)
- Journals
- Journal of Virology (5 papers)Bioinformatics (2 papers)PLoS Computational Biology (1 paper)Patterns (1 paper)Immunity (1 paper)
- Partner nations
- GermanyUnited StatesThailand
In The Last Decade
Bruce Schultz
16 papers receiving 421 citations
Peers
Comparison fields: 5 of 79
- Virology 169
- Immunology 171
- Emergency Medicine 44
- Infectious Diseases 66
- Health Informatics 4
Countries citing papers authored by Bruce Schultz
This map shows the geographic impact of Bruce Schultz'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 Bruce Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruce Schultz more than expected).
Fields of papers citing papers by Bruce Schultz
This network shows the impact of papers produced by Bruce Schultz. 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 Bruce Schultz. The network helps show where Bruce Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Bruce Schultz, 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 | 2016 | 87 | |
| 2 | 2019 | 83 | |
| 3 | 2020 | 78 | |
| 4 | 2015 | 63 | |
| 5 | 2014 | 35 | |
| 6 | 2017 | 29 | |
| 7 | 2022 | 11 | |
| 8 | 2019 | 8 | |
| 9 | 2024 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 1 |
About Bruce Schultz
Bruce Schultz is a scholar working on Virology, Molecular Biology, Artificial Intelligence, Immunology and Computational Theory and Mathematics, having authored 16 papers that have together received 423 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (3 papers), Computational Drug Discovery Methods (3 papers), Advanced Graph Neural Networks (2 papers) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Virology (169 citations), Immunology (171 citations), Emergency Medicine (44 citations), Infectious Diseases (66 citations) and Health Informatics (4 citations). Bruce Schultz has collaborated with scholars based in Germany, United States and Thailand. Frequent co-authors include Hendrik Streeck, Nelson L. Michael, Merlin L. Robb, Galit Alter, Michael A. Eller, Jeffrey E. Teigler, Mary Marovich, Franco Pissani, Martin Hofmann‐Apitius and Ulf Dittmer. Their work appears in journals such as Journal of Virology, Bioinformatics, PLoS Computational Biology, Patterns and Immunity.
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.