Cord‐Michael Becker
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Neurology top 2%
- Physiology top 10%
- Cell Biology top 5%
- Co-authors
- Heinrich BetzWerner HochCarmen VillmannAndreas HumenyMonika PischetsriederMatthias HerkertHans‐Georg BreitingerKristina Becker
- Topics
- Neuroscience and Neuropharmacology Research (49 papers)Ion channel regulation and function (39 papers)Nicotinic Acetylcholine Receptors Study (32 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Cord‐Michael Becker
103 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 2.9k
- Cellular and Molecular Neuroscience 2.2k
- Neurology 604
- Physiology 336
- Cell Biology 321
Countries citing papers authored by Cord‐Michael Becker
This map shows the geographic impact of Cord‐Michael Becker'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 Cord‐Michael Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cord‐Michael Becker more than expected).
Fields of papers citing papers by Cord‐Michael Becker
This network shows the impact of papers produced by Cord‐Michael Becker. 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 Cord‐Michael Becker. The network helps show where Cord‐Michael Becker may publish in the future.
Co-authorship network of co-authors of Cord‐Michael Becker
This figure shows the co-authorship network connecting the top 25 collaborators of Cord‐Michael Becker. A scholar is included among the top collaborators of Cord‐Michael Becker 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 Cord‐Michael Becker. Cord‐Michael Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 119 | |
| 4 | 9 | |
| 5 | 25 | |
| 6 | 24 | |
| 7 | 32 | |
| 8 | 30 | |
| 9 | 23 | |
| 10 | Immunochemical Detection of Central Nervous Tissue in Retail Meat Products Using Myelin Proteolipid Protein (PLP) as Marker | 2 |
| 11 | 16 | |
| 12 | Myelin proteolipid protein as a new target for the detection of central nervous tissues in food | 1 |
| 13 | 76 | |
| 14 | 12 | |
| 15 | 64 | |
| 16 | 53 | |
| 17 | 23 | |
| 18 | 88 | |
| 19 | 25 | |
| 20 | 67 |
About Cord‐Michael Becker
Cord‐Michael Becker is a scholar working on Cellular and Molecular Neuroscience, Clinical Biochemistry and Molecular Biology, having authored 103 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (49 papers), Ion channel regulation and function (39 papers) and Nicotinic Acetylcholine Receptors Study (32 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Molecular Biology (2.9k citations) and Neurology (604 citations). Cord‐Michael Becker has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Heinrich Betz, Werner Hoch, Carmen Villmann, Andreas Humeny, Monika Pischetsrieder, Matthias Herkert, Hans‐Georg Breitinger, Kristina Becker, Jasmin Meltretter and Dieter Langosch. Their work appears in journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.
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.