Mark J. Calcott
Impact in
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Chemical Synthesis and Analysis 5
- Genomics and Phylogenetic Studies 2
- Biochemical and Structural Characterization 2
-
- Microbial Natural Products and Biosynthesis 7
- Co-authors
- David F. Ackerley (11 shared papers)Jeremy G. Owen (8 shared papers)Allison Knight (2 shared papers)Robert A. Keyzers (1 shared paper)Iain L. Lamont (1 shared paper)Gregory L. Challis (1 shared paper)Vicky M. Avery (1 shared paper)Wayne A. Schroder (1 shared paper)
- Journals
- Biotechnology Letters (2 papers)Nature Communications (1 paper)Cell chemical biology (1 paper)BMC Microbiology (1 paper)eLife (1 paper)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Mark J. Calcott
13 papers receiving 548 citations
Peers
Comparison fields: 5 of 57
- Pharmacology 301
- Microbiology 42
- Biotechnology 57
- Ecology, Evolution, Behavior and Systematics 127
- Molecular Biology 327
Countries citing papers authored by Mark J. Calcott
This map shows the geographic impact of Mark J. Calcott'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 Mark J. Calcott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Calcott more than expected).
Fields of papers citing papers by Mark J. Calcott
This network shows the impact of papers produced by Mark J. Calcott. 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 Mark J. Calcott. The network helps show where Mark J. Calcott may publish in the future.
Co-authors
The 19 scholars most cited alongside Mark J. Calcott, 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 | 2017 | 169 | |
| 2 | 2018 | 75 | |
| 3 | 2020 | 72 | |
| 4 | 2014 | 60 | |
| 5 | 2014 | 43 | |
| 6 | 2020 | 34 | |
| 7 | 2016 | 33 | |
| 8 | 2015 | 22 | |
| 9 | 2023 | 17 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2020 | 8 | |
| 13 | 2023 | 4 |
About Mark J. Calcott
Mark J. Calcott is a scholar working on Molecular Biology, Pharmacology, Oncology, Computational Theory and Mathematics and Microbiology, having authored 13 papers that have together received 554 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (7 papers), Chemical Synthesis and Analysis (5 papers), Peptidase Inhibition and Analysis (2 papers), Antimicrobial Peptides and Activities (2 papers), Genomics and Phylogenetic Studies (2 papers), Computational Drug Discovery Methods (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Pharmacology (301 citations), Microbiology (42 citations), Biotechnology (57 citations), Ecology, Evolution, Behavior and Systematics (127 citations) and Molecular Biology (327 citations). Mark J. Calcott has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include David F. Ackerley, Jeremy G. Owen, Allison Knight, Robert A. Keyzers, Iain L. Lamont, Gregory L. Challis, Vicky M. Avery, Wayne A. Schroder, Rory F. Little and Chanel J. Taylor. Their work appears in journals such as Biotechnology Letters, Nature Communications, Cell chemical biology, BMC Microbiology and eLife.
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.