Philipp Engel
- Insect Science top 0.02%
- Insect and Pesticide Research 44
- Insect symbiosis and bacterial influences 10
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- Plant and animal studies 38
- Genetics top 0.5%
- Insect and Arachnid Ecology and Behavior 37
- Parasitology top 1%
- Bartonella species infections research 9
- Vector-borne infectious diseases 5
- Endocrinology top 2%
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- Gut microbiota and health 6
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- Bacteriophages and microbial interactions 5
- Co-authors
- Nancy A. MoranVincent G. MartinsonKirsten EllegaardWaldan K. KwongLucie KešnerováHauke KochGermán Bonilla‐RossoJoanito Liberti
- Journals
- Nature Communications (8 papers)Proceedings of the National Academy of Sciences (4 papers)mBio (4 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Philipp Engel
71 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Insect Science 5.1k
- Ecology, Evolution, Behavior and Systematics 3.0k
- Genetics 2.9k
- Parasitology 433
- Endocrinology 180
Countries citing papers authored by Philipp Engel
This map shows the geographic impact of Philipp Engel'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 Philipp Engel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Engel more than expected).
Fields of papers citing papers by Philipp Engel
This network shows the impact of papers produced by Philipp Engel. 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 Philipp Engel. The network helps show where Philipp Engel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philipp Engel, 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 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 29 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 36 | |
| 9 | 2021 | 74 | |
| 10 | 2021 | 39 | |
| 11 | 2020 | 65 | |
| 12 | 2020 | 22 | |
| 13 | Gut microbiota structure differs between honeybees in winter and summerbreakdown → | 2019 | 201 |
| 14 | 2018 | 126 | |
| 15 | 2018 | 95 | |
| 16 | 2017 | 73 | |
| 17 | Disentangling metabolic functions of bacteria in the honey bee gutbreakdown → | 2017 | 271 |
| 18 | 2017 | 46 | |
| 19 | 2013 | 15 | |
| 20 | 2012 | 133 |
About Philipp Engel
Philipp Engel is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Parasitology, having authored 74 papers that have together received 6.9k indexed citations. Recurring topics across this work include Insect and Pesticide Research (44 papers), Plant and animal studies (38 papers), Insect and Arachnid Ecology and Behavior (37 papers), Insect symbiosis and bacterial influences (10 papers), Bartonella species infections research (9 papers), Gut microbiota and health (6 papers), Bacteriophages and microbial interactions (5 papers) and Vector-borne infectious diseases (5 papers). The work is most often cited by research in Insect Science (5.1k citations), Ecology, Evolution, Behavior and Systematics (3.0k citations) and Genetics (2.9k citations). Philipp Engel has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Nancy A. Moran, Vincent G. Martinson, Kirsten Ellegaard, Waldan K. Kwong, Lucie Kešnerová, Hauke Koch, Germán Bonilla‐Rosso, Joanito Liberti, Olivier Emery and Christoph Dehio. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, mBio, The ISME Journal and PLoS 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.