Claudia Richter
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cognitive Neuroscience
- Pulmonary and Respiratory Medicine
- Co-authors
- Stefan LutherJan ChristophGerd HasenfußFlavio H. FentonStephan E. LehnartRobert F. GilmourPhilip BittihnIlija Uzelac
- Topics
- Neuroscience and Neural Engineering (13 papers)Photoreceptor and optogenetics research (12 papers)Neural dynamics and brain function (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Claudia Richter
22 papers receiving 596 citations
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 207
- Cardiology and Cardiovascular Medicine 155
- Molecular Biology 109
- Cognitive Neuroscience 95
- Pulmonary and Respiratory Medicine 73
Countries citing papers authored by Claudia Richter
This map shows the geographic impact of Claudia Richter'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 Claudia Richter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Richter more than expected).
Fields of papers citing papers by Claudia Richter
This network shows the impact of papers produced by Claudia Richter. 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 Claudia Richter. The network helps show where Claudia Richter may publish in the future.
Co-authorship network of co-authors of Claudia Richter
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Richter. A scholar is included among the top collaborators of Claudia Richter 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 Claudia Richter. Claudia Richter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 45 | |
| 8 | 95 | |
| 9 | 8 | |
| 10 | 27 | |
| 11 | 119 | |
| 12 | 30 | |
| 13 | 7 | |
| 14 | 15 | |
| 15 | 12 | |
| 16 | 70 | |
| 17 | 46 | |
| 18 | 12 | |
| 19 | 70 | |
| 20 | Expression of the glycodelin A gene and the detection of its protein in tissues and serum of ovarian carcinoma patients. | 8 |
About Claudia Richter
Claudia Richter is a scholar working on Cellular and Molecular Neuroscience, Structural Biology and Sensory Systems, having authored 22 papers that have together received 611 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (13 papers), Photoreceptor and optogenetics research (12 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Health Informatics (32 citations), Cellular and Molecular Neuroscience (207 citations) and Family Practice (22 citations). Claudia Richter has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan Luther, Jan Christoph, Gerd Hasenfuß, Flavio H. Fenton, Stephan E. Lehnart, Robert F. Gilmour, Philip Bittihn, Ilija Uzelac, Marco Mongillo and Tania Zaglia. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Science Translational Medicine.
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.