Patrick Munk
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
-
- Antibiotic Use and Resistance
Papers in
-
- Gut microbiota and health 14
- Genomics and Phylogenetic Studies 10
- Pollution 10
- Pharmaceutical and Antibiotic Environmental Impacts 10
- Co-authors
- Frank M. Aarestrup (25 shared papers)Berith Elkær Knudsen (4 shared papers)Sünje Johanna Pamp (6 shared papers)Oksana Lukjančenko (6 shared papers)Lasse Bergmark (2 shared papers)Anders Priemé (1 shared paper)Jillian F. Banfield (2 shared papers)Håkan Vigre (6 shared papers)
- Journals
- mSystems (3 papers)Microbiology Spectrum (3 papers)PLoS ONE (3 papers)Epidemiology and Infection (2 papers)Communications Biology (2 papers)
- Partner nations
- DenmarkNetherlandsUnited Kingdom
In The Last Decade
Patrick Munk
31 papers receiving 801 citations
Peers
Comparison fields: 5 of 87
- Molecular Medicine 214
- Applied Microbiology and Biotechnology 69
- Pollution 256
- Endocrinology 59
- Microbiology 66
Countries citing papers authored by Patrick Munk
This map shows the geographic impact of Patrick Munk'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 Patrick Munk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Munk more than expected).
Fields of papers citing papers by Patrick Munk
This network shows the impact of papers produced by Patrick Munk. 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 Patrick Munk. The network helps show where Patrick Munk may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Munk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 156 | |
| 2 | 2019 | 134 | |
| 3 | 2020 | 75 | |
| 4 | 2016 | 72 | |
| 5 | 2021 | 49 | |
| 6 | 2020 | 36 | |
| 7 | 2019 | 30 | |
| 8 | 2020 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 19 | |
| 12 | 2019 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2019 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 8 |
About Patrick Munk
Patrick Munk is a scholar working on Molecular Biology, Pollution, Ecology, Molecular Medicine and Food Science, having authored 32 papers that have together received 810 indexed citations. Recurring topics across this work include Gut microbiota and health (14 papers), Genomics and Phylogenetic Studies (10 papers), Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Antibiotic Resistance in Bacteria (8 papers), Bacteriophages and microbial interactions (5 papers), Microbial Community Ecology and Physiology (4 papers), Antibiotic Use and Resistance (4 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Molecular Medicine (214 citations), Applied Microbiology and Biotechnology (69 citations), Pollution (256 citations), Endocrinology (59 citations) and Microbiology (66 citations). Patrick Munk has collaborated with scholars based in Denmark, Netherlands and United Kingdom. Frequent co-authors include Frank M. Aarestrup, Berith Elkær Knudsen, Sünje Johanna Pamp, Oksana Lukjančenko, Lasse Bergmark, Anders Priemé, Jillian F. Banfield, Håkan Vigre, Vibe Dalhoff Andersen and Ran Blekhman. Their work appears in journals such as mSystems, Microbiology Spectrum, PLoS ONE, Epidemiology and Infection and Communications Biology.
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.