Brian C. Monk

118 papers receiving 5.1k citations

Brian C. Monk's Hit Papers

Efflux-Mediated Antifungal Drug Resistance 2009 · 464 citations
4640+5+11Years since publication100200300400

Peers

Brian C. Monk
Comparison fields: 5 of 146
  • Infectious Diseases 2.3k
  • Molecular Medicine 370
  • Epidemiology 1.5k
  • Periodontics 145
  • Microbiology 205
Replace Rajendra Prasad with:
Rajendra Prasad India
Yossef Av‐Gay Canada
Joachim Morschhäuser Germany
P. David Rogers United States
Ann R. Holmes New Zealand
Kevin Kavanagh Ireland
Steven Park United States
Neil E. Reiner Canada
Anandi Martin Belgium
André Luis Souza dos Santos Brazil
Brian C. Monk relative to Rajendra Prasad India Rajendra Prasad's profile →
Citations per field
00.5×1.5×
Rajendra Prasad · 1×
Citations per year

Countries citing papers authored by Brian C. Monk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Brian C. Monk Line = papers co-authored together Brian C. Monk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Efflux-Mediated Antifungal Drug Resistance
Hit paper breakdown →
2009464
2 1995275
3 2014233
4 2007174
5 2015164
6 2007159
7 2001158
8 2008130
9 2009130
10 2008120
11 2004108
12 2006106
13 2016102
14 201995
15 199194
16 200994
17 201093
18 201689
19 201886
20 201183

About Brian C. Monk

Brian C. Monk is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Oncology and Organic Chemistry, having authored 122 papers that have together received 5.3k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (51 papers), ATP Synthase and ATPases Research (18 papers), Fungal Infections and Studies (16 papers), Pneumocystis jirovecii pneumonia detection and treatment (14 papers), Drug Transport and Resistance Mechanisms (12 papers), Antibiotic Resistance in Bacteria (11 papers), Photosynthetic Processes and Mechanisms (11 papers) and Synthesis and Biological Evaluation (11 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Molecular Medicine (370 citations), Epidemiology (1.5k citations), Periodontics (145 citations) and Microbiology (205 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 British Journal of Dermatology.

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.

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