Daniel Münch
Impact in
- Insect Science top 2%
- Insect and Pesticide Research
- Bee Products Chemical Analysis
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Insect and Pesticide Research 11
- Genetics 14
- Insect and Arachnid Ecology and Behavior 14
- Co-authors
- Gro Vang Amdam (16 shared papers)Florian Wolschin (1 shared paper)Claus D. Kreibich (6 shared papers)Heli Salmela (4 shared papers)Anne Baumann (1 shared paper)Heli Havukainen (1 shared paper)Øyvind Halskau (1 shared paper)Zhong Shi (1 shared paper)
- Journals
- Meat Science (3 papers)PLoS ONE (3 papers)Experimental Gerontology (2 papers)Journal of Visualized Experiments (2 papers)Apidologie (2 papers)
- Partner nations
- NorwayUnited StatesFinland
In The Last Decade
Daniel Münch
23 papers receiving 698 citations
Peers
Comparison fields: 5 of 71
- Insect Science 455
- Aging 38
- Ecology, Evolution, Behavior and Systematics 355
- Genetics 452
- Physiology 33
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 | 122 | |
| 2 | 2008 | 114 | |
| 3 | 2013 | 108 | |
| 4 | 2013 | 58 | |
| 5 | 2019 | 48 | |
| 6 | 2015 | 42 | |
| 7 | 2018 | 33 | |
| 8 | 2021 | 29 | |
| 9 | 2017 | 27 | |
| 10 | 2022 | 18 | |
| 11 | 2018 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2013 | 14 | |
| 15 | 2021 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2015 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2013 | 6 | |
| 20 | 2010 | 6 |
About Daniel Münch
Daniel Münch is a scholar working on Insect Science, Genetics, Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 712 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (14 papers), Insect and Pesticide Research (11 papers), Plant and animal studies (7 papers), Neurobiology and Insect Physiology Research (7 papers), Meat and Animal Product Quality (6 papers), Body Composition Measurement Techniques (3 papers), Freezing and Crystallization Processes (2 papers) and Electrical and Bioimpedance Tomography (2 papers). The work is most often cited by research in Insect Science (455 citations), Aging (38 citations), Ecology, Evolution, Behavior and Systematics (355 citations), Genetics (452 citations) and Physiology (33 citations). Daniel Münch has collaborated with scholars based in Norway, United States and Finland. Frequent co-authors include Gro Vang Amdam, Florian Wolschin, Claus D. Kreibich, Heli Salmela, Anne Baumann, Heli Havukainen, Øyvind Halskau, Zhong Shi, Michelle Krogsgaard and Bjørg Egelandsdal. Their work appears in journals such as Meat Science, PLoS ONE, Experimental Gerontology, Journal of Visualized Experiments 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.