Patrick Munk
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
-
- Antibiotic Use and Resistance
Papers in
-
- Gut microbiota and health 10
- Genomics and Phylogenetic Studies 10
- Pollution 11
- Pharmaceutical and Antibiotic Environmental Impacts 11
- 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)PLoS ONE (3 papers)Microbiology Spectrum (3 papers)Epidemiology and Infection (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- DenmarkNetherlandsUnited Kingdom
In The Last Decade
Patrick Munk
32 papers receiving 872 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 206
- Applied Microbiology and Biotechnology 66
- Pollution 263
- Microbiology 64
- Endocrinology 52
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 169 | |
| 2 | 2019 | 143 | |
| 3 | 2020 | 81 | |
| 4 | 2016 | 79 | |
| 5 | 2021 | 54 | |
| 6 | 2020 | 38 | |
| 7 | 2020 | 30 | |
| 8 | 2021 | 30 | |
| 9 | 2022 | 30 | |
| 10 | 2019 | 30 | |
| 11 | 2022 | 19 | |
| 12 | 2019 | 18 | |
| 13 | 2022 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2020 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2022 | 10 | |
| 20 | 2021 | 9 |
About Patrick Munk
Patrick Munk is a scholar working on Molecular Biology, Pollution, Ecology, Molecular Medicine and Food Science, having authored 33 papers that have together received 883 indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Gut microbiota and health (10 papers), Genomics and Phylogenetic Studies (10 papers), Antibiotic Resistance in Bacteria (5 papers), Bacteriophages and microbial interactions (5 papers), Microbial Community Ecology and Physiology (4 papers), Antibiotic Use and Resistance (3 papers) and Probiotics and Fermented Foods (3 papers). The work is most often cited by research in Molecular Medicine (206 citations), Applied Microbiology and Biotechnology (66 citations), Pollution (263 citations), Microbiology (64 citations) and Endocrinology (52 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 Karthik Anantharaman. Their work appears in journals such as mSystems, PLoS ONE, Microbiology Spectrum, Epidemiology and Infection and Frontiers in Microbiology.
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.