Hans Michael Maric
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- Neuroscience and Neuropharmacology Research 16
- Photoreceptor and optogenetics research 5
- Molecular Biology top 10%
- Chemical Synthesis and Analysis 6
- Lipid Membrane Structure and Behavior 5
- Nicotinic Acetylcholine Receptors Study 5
- Ubiquitin and proteasome pathways 4
- Structural Biology top 10%
- Neurology top 10%
- Cell Biology top 10%
- Cellular transport and secretion 4
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Hermann SchindelinVerena TretterStephen J. MossJayanta MukherjeeClemens SchulteWerner SieghartKristian StrømgaardVikram Babu Kasaragod
- Journals
- Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (2 papers)Angewandte Chemie International Edition (3 papers)
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Hans Michael Maric
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 509
- Molecular Biology 737
- Structural Biology 13
- Neurology 69
- Cell Biology 136
Countries citing papers authored by Hans Michael Maric
This map shows the geographic impact of Hans Michael Maric'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 Hans Michael Maric with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Michael Maric more than expected).
Fields of papers citing papers by Hans Michael Maric
This network shows the impact of papers produced by Hans Michael Maric. 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 Hans Michael Maric. The network helps show where Hans Michael Maric may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans Michael Maric, 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 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 11 | |
| 14 | 2020 | 43 | |
| 15 | 2020 | 24 | |
| 16 | 2020 | 12 | |
| 17 | 2018 | 48 | |
| 18 | 2018 | 55 | |
| 19 | 2014 | 20 | |
| 20 | 2011 | 78 |
About Hans Michael Maric
Hans Michael Maric is a scholar working on Cellular and Molecular Neuroscience, Structural Biology and Biophysics, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Chemical Synthesis and Analysis (6 papers), Photoreceptor and optogenetics research (5 papers), Lipid Membrane Structure and Behavior (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Ubiquitin and proteasome pathways (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (509 citations), Molecular Biology (737 citations) and Structural Biology (13 citations). Hans Michael Maric has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Hermann Schindelin, Verena Tretter, Stephen J. Moss, Jayanta Mukherjee, Clemens Schulte, Werner Sieghart, Kristian Strømgaard, Vikram Babu Kasaragod, Kirsten Harvey and Sarah Ramsden. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry 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.