Daniel Münch
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Insect Science top 2%
- Insect and Pesticide Research
Papers in
- Aging 10
- Genetics, Aging, and Longevity in Model Organisms 10
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- Meat and Animal Product Quality 5
- Animal Nutrition and Physiology 2
- Co-authors
- Gro Vang Amdam (16 shared papers)Heli Salmela (5 shared papers)Florian Wolschin (1 shared paper)Michelle Krogsgaard (1 shared paper)Øyvind Halskau (1 shared paper)Anne Baumann (1 shared paper)Bjørg Egelandsdal (6 shared papers)Ørjan G. Martinsen (4 shared papers)
- Journals
- Meat Science (3 papers)PLoS ONE (3 papers)Journal of Visualized Experiments (2 papers)Experimental Gerontology (2 papers)Apidologie (2 papers)
- Partner nations
- NorwayUnited StatesFinland
In The Last Decade
Daniel Münch
23 papers receiving 713 citations
Peers
Comparison fields: 5 of 54
- Aging 138
- Insect Science 226
- Animal Science and Zoology 68
- Genetics 203
- Cellular and Molecular Neuroscience 63
Countries citing papers authored by Daniel Münch
This map shows the geographic impact of Daniel Münch'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 Daniel Münch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Münch more than expected).
Fields of papers citing papers by Daniel Münch
This network shows the impact of papers produced by Daniel Münch. 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 Daniel Münch. The network helps show where Daniel Münch may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Münch, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 123 | |
| 2 | 2008 | 114 | |
| 3 | 2013 | 110 | |
| 4 | 2013 | 58 | |
| 5 | 2019 | 49 | |
| 6 | 2015 | 42 | |
| 7 | 2018 | 33 | |
| 8 | 2017 | 29 | |
| 9 | 2021 | 29 | |
| 10 | 2022 | 18 | |
| 11 | 2018 | 16 | |
| 12 | 2021 | 16 | |
| 13 | 2013 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2021 | 13 | |
| 16 | 2015 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2022 | 8 | |
| 19 | 2010 | 6 | |
| 20 | 2013 | 6 |
About Daniel Münch
Daniel Münch is a scholar working on Aging, Animal Science and Zoology, Insect Science, Cellular and Molecular Neuroscience and Aquatic Science, having authored 27 papers that have together received 725 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (10 papers), Meat and Animal Product Quality (5 papers), Neurobiology and Insect Physiology Research (3 papers), Insect and Pesticide Research (3 papers), Aquaculture Nutrition and Growth (2 papers), Freezing and Crystallization Processes (2 papers), Animal Nutrition and Physiology (2 papers) and Insect and Arachnid Ecology and Behavior (2 papers). The work is most often cited by research in Aging (138 citations), Insect Science (226 citations), Animal Science and Zoology (68 citations), Genetics (203 citations) and Cellular and Molecular Neuroscience (63 citations). Daniel Münch has collaborated with scholars based in Norway, United States and Finland. Frequent co-authors include Gro Vang Amdam, Heli Salmela, Florian Wolschin, Michelle Krogsgaard, Øyvind Halskau, Anne Baumann, Bjørg Egelandsdal, Ørjan G. Martinsen, Frøydis Bjerke and Kate E. Ihle. Their work appears in journals such as Meat Science, PLoS ONE, Journal of Visualized Experiments, Experimental Gerontology and Apidologie.
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.