Brian C. Monk
Impact in
- Infectious Diseases top 0.5%
- Antifungal resistance and susceptibility
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antifungal resistance and susceptibility 52
-
- Antibiotic Resistance in Bacteria 11
- Co-authors
- Richard D. CannonAnn R. HolmesMikhail V. KeniyaMasakazu NiimiErwin LampingKyoko NiimiAndré GoffeauJoel D. A. Tyndall
- Journals
- Antimicrobial Agents and Chemotherapy (12 papers)Journal of Fungi (10 papers)Journal of Biological Chemistry (7 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (6 papers)Scientific Reports (3 papers)
- Partner nations
- New ZealandUnited StatesJapan
In The Last Decade
Brian C. Monk
118 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Infectious Diseases 2.4k
- Molecular Medicine 402
- Epidemiology 1.6k
- Periodontics 194
- Microbiology 212
Countries citing papers authored by Brian C. Monk
This map shows the geographic impact of Brian C. Monk'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 C. Monk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Monk more than expected).
Fields of papers citing papers by Brian C. Monk
This network shows the impact of papers produced by Brian C. Monk. 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 C. Monk. The network helps show where Brian C. Monk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian C. Monk, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 47 | |
| 10 | 2020 | 49 | |
| 11 | 2014 | 226 | |
| 12 | 2012 | 18 | |
| 13 | 2006 | 3 | |
| 14 | 2004 | 56 | |
| 15 | 2002 | 32 | |
| 16 | 2002 | 6 | |
| 17 | 1998 | 16 | |
| 18 | 1993 | 23 | |
| 19 | 1992 | 27 | |
| 20 | The cortical reaction in Xenopus laevis eggs: cortical granule lectin release as determined by radioimmunoassay | 1986 | 14 |
About Brian C. Monk
Brian C. Monk is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Oncology and Molecular Biology, having authored 122 papers that have together received 5.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (52 papers), ATP Synthase and ATPases Research (18 papers), Fungal Infections and Studies (18 papers), Pneumocystis jirovecii pneumonia detection and treatment (14 papers), Drug Transport and Resistance Mechanisms (12 papers), Synthesis and Biological Evaluation (11 papers), Antibiotic Resistance in Bacteria (11 papers) and Photosynthetic Processes and Mechanisms (11 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Molecular Medicine (402 citations), Epidemiology (1.6k citations), Periodontics (194 citations) and Microbiology (212 citations). Brian C. Monk has collaborated with scholars based in New Zealand, United States and Japan. Frequent co-authors include Richard D. Cannon, Ann R. Holmes, Mikhail V. Keniya, Masakazu Niimi, Erwin Lamping, Kyoko Niimi, André Goffeau, Joel D. A. Tyndall, David S. Perlin and Koichi Tanabe. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Fungi, Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes and Scientific Reports.
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.