Maike Bergeler
Impact in
- Inorganic Chemistry top 10%
- Synthesis and characterization of novel inorganic/organometallic compounds
Papers in
-
- Machine Learning in Materials Science 4
- Silicone and Siloxane Chemistry 1
-
- Protein Structure and Dynamics 2
- Co-authors
- Markus Reiher (4 shared papers)Gregor N. C. Simm (1 shared paper)Jonny Proppe (1 shared paper)Xiaodan Chen (1 shared paper)Zhongshu Li (1 shared paper)Cheng‐Yong Su (1 shared paper)Hansjörg Grützmacher (1 shared paper)Jane R. Allison (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (1 paper)Journal of Computational Chemistry (1 paper)Journal of Chemical Theory and Computation (1 paper)Chemistry - A European Journal (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Maike Bergeler
11 papers receiving 301 citations
Peers
Comparison fields: 5 of 51
- Inorganic Chemistry 98
- Catalysis 32
- Organic Chemistry 99
- Computational Theory and Mathematics 52
- Physical and Theoretical Chemistry 26
Countries citing papers authored by Maike Bergeler
This map shows the geographic impact of Maike Bergeler'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 Maike Bergeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maike Bergeler more than expected).
Fields of papers citing papers by Maike Bergeler
This network shows the impact of papers produced by Maike Bergeler. 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 Maike Bergeler. The network helps show where Maike Bergeler may publish in the future.
Co-authors
The 25 scholars most cited alongside Maike Bergeler, 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 | 2015 | 127 | |
| 2 | 2015 | 72 | |
| 3 | 2011 | 25 | |
| 4 | 2014 | 20 | |
| 5 | 2017 | 18 | |
| 6 | 2013 | 17 | |
| 7 | 2016 | 11 | |
| 8 | 2024 | 7 | |
| 9 | 2022 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 |
About Maike Bergeler
Maike Bergeler is a scholar working on Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Organic Chemistry and Biophysics, having authored 11 papers that have together received 303 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Silicone and Siloxane Chemistry (1 paper), Synthesis and Characterization of Heterocyclic Compounds (1 paper), Supramolecular Chemistry and Complexes (1 paper) and CO2 Reduction Techniques and Catalysts (1 paper). The work is most often cited by research in Inorganic Chemistry (98 citations), Catalysis (32 citations), Organic Chemistry (99 citations), Computational Theory and Mathematics (52 citations) and Physical and Theoretical Chemistry (26 citations). Maike Bergeler has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Markus Reiher, Gregor N. C. Simm, Jonny Proppe, Xiaodan Chen, Zhongshu Li, Cheng‐Yong Su, Hansjörg Grützmacher, Jane R. Allison, Niels Hansen and Wilfred F. van Gunsteren. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Computational Chemistry, Journal of Chemical Theory and Computation, Chemistry - A European Journal and Angewandte Chemie International Edition.
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.