Todd A. Verdoorn
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 2%
- Neurology top 1%
- Cognitive Neuroscience top 2%
- Physiology top 5%
- Co-authors
- Bert SakmannPeter H. SeeburgKari KeinänenBernd SommerNail BurnashevAnne HerbWilliam WisdenP. Werner
- Topics
- Neuroscience and Neuropharmacology Research (21 papers)Receptor Mechanisms and Signaling (13 papers)Ion channel regulation and function (12 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Todd A. Verdoorn
36 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cellular and Molecular Neuroscience 4.6k
- Molecular Biology 3.7k
- Neurology 706
- Cognitive Neuroscience 698
- Physiology 412
Countries citing papers authored by Todd A. Verdoorn
This map shows the geographic impact of Todd A. Verdoorn'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 Todd A. Verdoorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd A. Verdoorn more than expected).
Fields of papers citing papers by Todd A. Verdoorn
This network shows the impact of papers produced by Todd A. Verdoorn. 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 Todd A. Verdoorn. The network helps show where Todd A. Verdoorn may publish in the future.
Co-authorship network of co-authors of Todd A. Verdoorn
This figure shows the co-authorship network connecting the top 25 collaborators of Todd A. Verdoorn. A scholar is included among the top collaborators of Todd A. Verdoorn 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 Todd A. Verdoorn. Todd A. Verdoorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 118 | |
| 6 | 45 | |
| 7 | 92 | |
| 8 | 60 | |
| 9 | 38 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 95 | |
| 13 | 98 | |
| 14 | 74 | |
| 15 | 151 | |
| 16 | 96 | |
| 17 | Single channel properties of heterooligomeric rat gaba a receptors expressed using different alpha subunit variants | 2 |
| 18 | Functional properties of recombinant rat GABAA receptors depend upon subunit compositionbreakdown → | 476 |
| 19 | 170 | |
| 20 | 133 |
About Todd A. Verdoorn
Todd A. Verdoorn is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Molecular Biology, having authored 37 papers that have together received 5.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Receptor Mechanisms and Signaling (13 papers) and Ion channel regulation and function (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.6k citations), Developmental Neuroscience (380 citations) and Neurology (706 citations). Todd A. Verdoorn has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Bert Sakmann, Peter H. Seeburg, Kari Keinänen, Bernd Sommer, Nail Burnashev, Anne Herb, William Wisden, P. Werner, Hannah Monyer and Raymond Dingledine. Their work appears in journals such as Science, Journal of Biological Chemistry and Neuron.
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.