Dimitri Berh
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 9
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- Signaling Pathways in Disease 2
- Co-authors
- Xiaoyi Jiang (13 shared papers)Benjamin Risse (13 shared papers)Christian Klämbt (12 shared papers)Nils Otto (9 shared papers)Sven Bogdan (2 shared papers)Zvonimir Marelja (1 shared paper)Michael J. Pankratz (1 shared paper)Silke Leimkühler (1 shared paper)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)IEEE Transactions on Biomedical Engineering (2 papers)Journal of Visualized Experiments (2 papers)Computers in Biology and Medicine (2 papers)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Dimitri Berh
14 papers receiving 203 citations
Peers
Comparison fields: 5 of 50
- Aging 31
- Cellular and Molecular Neuroscience 108
- Cell Biology 38
- Ecology, Evolution, Behavior and Systematics 35
- Insect Science 20
Countries citing papers authored by Dimitri Berh
This map shows the geographic impact of Dimitri Berh'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 Dimitri Berh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitri Berh more than expected).
Fields of papers citing papers by Dimitri Berh
This network shows the impact of papers produced by Dimitri Berh. 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 Dimitri Berh. The network helps show where Dimitri Berh may publish in the future.
Co-authors
The 12 scholars most cited alongside Dimitri Berh, 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 | 2017 | 64 | |
| 2 | 2018 | 34 | |
| 3 | 2014 | 32 | |
| 4 | 2016 | 18 | |
| 5 | 2014 | 18 | |
| 6 | 2016 | 11 | |
| 7 | 2014 | 9 | |
| 8 | 2013 | 5 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2019 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2014 | 1 |
About Dimitri Berh
Dimitri Berh is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics and Ecology, having authored 14 papers that have together received 208 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Insect and Arachnid Ecology and Behavior (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Animal Behavior and Reproduction (3 papers), Signaling Pathways in Disease (2 papers), Cell Adhesion Molecules Research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Aging (31 citations), Cellular and Molecular Neuroscience (108 citations), Cell Biology (38 citations), Ecology, Evolution, Behavior and Systematics (35 citations) and Insect Science (20 citations). Dimitri Berh has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Xiaoyi Jiang, Benjamin Risse, Christian Klämbt, Nils Otto, Sven Bogdan, Zvonimir Marelja, Michael J. Pankratz, Silke Leimkühler, Andreas Schoofs and Reinhard Klette. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Biomedical Engineering, Journal of Visualized Experiments, Computers in Biology and Medicine and Nature Communications.
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.