Brian S. Schwartz
- Epidemiology top 2%
- Immunology top 5%
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 5%
- Oncology
- Co-authors
- David SearsSteve MillerSang‐Mo KangDouglas F. NixonPhillip NorrisJeffrey P. HouchinsLewis L. LanierVanessa A. York
- Topics
- Innovations in Medical Education (12 papers)Antifungal resistance and susceptibility (7 papers)Diversity and Career in Medicine (5 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Brian S. Schwartz
58 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Epidemiology 1.0k
- Immunology 642
- Infectious Diseases 511
- Public Health, Environmental and Occupational Health 372
- Oncology 217
Countries citing papers authored by Brian S. Schwartz
This map shows the geographic impact of Brian S. Schwartz'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 Brian S. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian S. Schwartz more than expected).
Fields of papers citing papers by Brian S. Schwartz
This network shows the impact of papers produced by Brian S. Schwartz. 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 Brian S. Schwartz. The network helps show where Brian S. Schwartz may publish in the future.
Co-authorship network of co-authors of Brian S. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Brian S. Schwartz. A scholar is included among the top collaborators of Brian S. Schwartz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian S. Schwartz. Brian S. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | 54 | |
| 6 | 44 | |
| 7 | 25 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 34 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | 34 | |
| 14 | 20 | |
| 15 | 7 | |
| 16 | 59 | |
| 17 | Expansion of a unique CD57 + NKG2C hi natural killer cell subset during acute human cytomegalovirus infectionbreakdown → | 618 |
| 18 | 35 | |
| 19 | 113 | |
| 20 | 14 |
About Brian S. Schwartz
Brian S. Schwartz is a scholar working on Applied Microbiology and Biotechnology, Family Practice and Infectious Diseases, having authored 61 papers that have together received 2.1k indexed citations. Recurring topics across this work include Innovations in Medical Education (12 papers), Antifungal resistance and susceptibility (7 papers) and Diversity and Career in Medicine (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (77 citations), Immunology (642 citations) and Epidemiology (1.0k citations). Brian S. Schwartz has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include David Sears, Steve Miller, Sang‐Mo Kang, Douglas F. Nixon, Phillip Norris, Jeffrey P. Houchins, Lewis L. Lanier, Vanessa A. York, Jeffrey M. Milush and Marcelo J. Pando. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annals of Internal Medicine and Neurology.
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.