Suzanne Roffler‐Tarlov
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Neurology top 5%
- Developmental Neuroscience top 2%
- Physiology top 10%
- Co-authors
- Ann M. GraybielMelitta SchachnerRichard L. SidmanD.F. SharmanDona M. ChikaraishiKeiko OhtaHua TianSusan M. Harrison
- Topics
- Neuroscience and Neuropharmacology Research (20 papers)Neurotransmitter Receptor Influence on Behavior (8 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)
- Partner nations
- United StatesSlovakiaItaly
In The Last Decade
Suzanne Roffler‐Tarlov
40 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 1.3k
- Neurology 432
- Developmental Neuroscience 279
- Physiology 267
Countries citing papers authored by Suzanne Roffler‐Tarlov
This map shows the geographic impact of Suzanne Roffler‐Tarlov'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 Suzanne Roffler‐Tarlov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Roffler‐Tarlov more than expected).
Fields of papers citing papers by Suzanne Roffler‐Tarlov
This network shows the impact of papers produced by Suzanne Roffler‐Tarlov. 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 Suzanne Roffler‐Tarlov. The network helps show where Suzanne Roffler‐Tarlov may publish in the future.
Co-authorship network of co-authors of Suzanne Roffler‐Tarlov
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Roffler‐Tarlov. A scholar is included among the top collaborators of Suzanne Roffler‐Tarlov 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 Suzanne Roffler‐Tarlov. Suzanne Roffler‐Tarlov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 22 | |
| 3 | 52 | |
| 4 | 6 | |
| 5 | 27 | |
| 6 | 74 | |
| 7 | 31 | |
| 8 | 74 | |
| 9 | 63 | |
| 10 | 11 | |
| 11 | 24 | |
| 12 | 36 | |
| 13 | 5 | |
| 14 | 20 | |
| 15 | 126 | |
| 16 | 27 | |
| 17 | 20 | |
| 18 | 83 | |
| 19 | 12 | |
| 20 | 164 |
About Suzanne Roffler‐Tarlov
Suzanne Roffler‐Tarlov is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Developmental Neuroscience (279 citations) and Neurology (432 citations). Suzanne Roffler‐Tarlov has collaborated with scholars based in United States, Slovakia and Italy. Frequent co-authors include Ann M. Graybiel, Melitta Schachner, Richard L. Sidman, D.F. Sharman, Dona M. Chikaraishi, Keiko Ohta, Hua Tian, Susan M. Harrison, Maribel Rios and Graeme Eisenhofer. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.