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
-
- Bioinformatics and Genomic Networks 5
- Biomedical Text Mining and Ontologies 3
- Virology 7
- HIV Research and Treatment 7
- Co-authors
- Hendrik Streeck (7 shared papers)Nelson L. Michael (6 shared papers)Merlin L. Robb (6 shared papers)Galit Alter (6 shared papers)Mary Marovich (4 shared papers)Michael A. Eller (5 shared papers)Jeffrey E. Teigler (3 shared papers)Franco Pissani (4 shared papers)
- Journals
- Journal of Virology (5 papers)Bioinformatics (2 papers)PLoS Computational Biology (1 paper)Immunity (1 paper)JCI Insight (1 paper)
- Partner nations
- GermanyUnited StatesThailand
In The Last Decade
Bruce Schultz
15 papers receiving 396 citations
Peers
Comparison fields: 5 of 78
- Virology 185
- Immunology 194
- Emergency Medicine 46
- Infectious Diseases 79
- Health Informatics 3
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 | 86 | |
| 2 | 2019 | 76 | |
| 3 | 2020 | 72 | |
| 4 | 2015 | 60 | |
| 5 | 2014 | 33 | |
| 6 | 2017 | 28 | |
| 7 | 2022 | 10 | |
| 8 | 2019 | 7 | |
| 9 | 2018 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 0 |
About Bruce Schultz
Bruce Schultz is a scholar working on Molecular Biology, Virology, Immunology, Artificial Intelligence and Computational Theory and Mathematics, having authored 16 papers that have together received 397 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (5 papers), Biomedical Text Mining and Ontologies (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Virology (185 citations), Immunology (194 citations), Emergency Medicine (46 citations), Infectious Diseases (79 citations) and Health Informatics (3 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, Mary Marovich, Michael A. Eller, Jeffrey E. Teigler, Franco Pissani, Diane L. Bolton and Ulf Dittmer. Their work appears in journals such as Journal of Virology, Bioinformatics, PLoS Computational Biology, Immunity and JCI Insight.
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.