Christian Bamann
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Spectroscopy top 5%
- Co-authors
- Ernst BambergGeorg NagelSonja KleinlogelJoachim HeberleKatrin FeldbauerJosef WachtveitlPhillip G. WoodMelanie Nack
- Topics
- Photoreceptor and optogenetics research (44 papers)Neuroscience and Neuropharmacology Research (28 papers)Neural dynamics and brain function (11 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- GermanyUnited KingdomRussia
In The Last Decade
Christian Bamann
44 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 2.2k
- Molecular Biology 1.0k
- Cognitive Neuroscience 570
- Biomedical Engineering 464
- Spectroscopy 266
Countries citing papers authored by Christian Bamann
This map shows the geographic impact of Christian Bamann'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 Christian Bamann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Bamann more than expected).
Fields of papers citing papers by Christian Bamann
This network shows the impact of papers produced by Christian Bamann. 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 Christian Bamann. The network helps show where Christian Bamann may publish in the future.
Co-authorship network of co-authors of Christian Bamann
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Bamann. A scholar is included among the top collaborators of Christian Bamann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christian Bamann. Christian Bamann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 23 | |
| 8 | 127 | |
| 9 | 16 | |
| 10 | 125 | |
| 11 | 40 | |
| 12 | 87 | |
| 13 | 30 | |
| 14 | 42 | |
| 15 | 1 | |
| 16 | 50 | |
| 17 | 74 | |
| 18 | 62 | |
| 19 | 185 | |
| 20 | 0 |
About Christian Bamann
Christian Bamann is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Spectroscopy, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (44 papers), Neuroscience and Neuropharmacology Research (28 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Cognitive Neuroscience (570 citations) and Endocrine and Autonomic Systems (135 citations). Christian Bamann has collaborated with scholars based in Germany, United Kingdom and Russia. Frequent co-authors include Ernst Bamberg, Georg Nagel, Sonja Kleinlogel, Joachim Heberle, Katrin Feldbauer, Josef Wachtveitl, Phillip G. Wood, Melanie Nack, Ionela Radu and Clemens Glaubitz. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.