Brian V. Geisbrecht
- Molecular Biology top 5%
- Immunology top 2%
- Infectious Diseases top 1%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- John D. LambrisDaniel RicklinStephen J. GouldJeremy M BergGregory J. GattoKasra X. RamyarSuzan H. M. RooijakkersBrandon L. Garcia
- Topics
- Antimicrobial Resistance in Staphylococcus (32 papers)Biochemical and Structural Characterization (18 papers)Complement system in diseases (17 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Brian V. Geisbrecht
106 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 2.0k
- Immunology 1.3k
- Infectious Diseases 1.1k
- Epidemiology 392
- Public Health, Environmental and Occupational Health 382
Countries citing papers authored by Brian V. Geisbrecht
This map shows the geographic impact of Brian V. Geisbrecht'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 V. Geisbrecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian V. Geisbrecht more than expected).
Fields of papers citing papers by Brian V. Geisbrecht
This network shows the impact of papers produced by Brian V. Geisbrecht. 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 V. Geisbrecht. The network helps show where Brian V. Geisbrecht may publish in the future.
Co-authorship network of co-authors of Brian V. Geisbrecht
This figure shows the co-authorship network connecting the top 25 collaborators of Brian V. Geisbrecht. A scholar is included among the top collaborators of Brian V. Geisbrecht 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 V. Geisbrecht. Brian V. Geisbrecht is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 35 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 23 | |
| 13 | 4 | |
| 14 | 19 | |
| 15 | 12 | |
| 16 | 7 | |
| 17 | 59 | |
| 18 | 15 | |
| 19 | 22 | |
| 20 | 18 |
About Brian V. Geisbrecht
Brian V. Geisbrecht is a scholar working on Infectious Diseases, Immunology and Endocrinology, having authored 109 papers that have together received 4.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (32 papers), Biochemical and Structural Characterization (18 papers) and Complement system in diseases (17 papers). The work is most often cited by research in Immunology (1.3k citations), Infectious Diseases (1.1k citations) and Endocrinology (282 citations). Brian V. Geisbrecht has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include John D. Lambris, Daniel Ricklin, Stephen J. Gould, Jeremy M Berg, Gregory J. Gatto, Kasra X. Ramyar, Suzan H. M. Rooijakkers, Brandon L. Garcia, Georgia Sfyroera and Michal Hammel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.