Lauren M. Tanabe
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Neurology top 5%
- Cognitive Neuroscience
- Cell Biology
- Co-authors
- William T. DauerKarin ListPaul VezinaJennifer D. AustinChun-Chi LiangNobuyoshi SutoConnie E. KimNoga Alagem
- Topics
- Neuroscience and Neuropharmacology Research (6 papers)Neurological disorders and treatments (5 papers)Neurotransmitter Receptor Influence on Behavior (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Lauren M. Tanabe
17 papers receiving 976 citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 556
- Molecular Biology 402
- Neurology 309
- Cognitive Neuroscience 88
- Cell Biology 85
Countries citing papers authored by Lauren M. Tanabe
This map shows the geographic impact of Lauren M. Tanabe'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 Lauren M. Tanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren M. Tanabe more than expected).
Fields of papers citing papers by Lauren M. Tanabe
This network shows the impact of papers produced by Lauren M. Tanabe. 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 Lauren M. Tanabe. The network helps show where Lauren M. Tanabe may publish in the future.
Co-authorship network of co-authors of Lauren M. Tanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Lauren M. Tanabe. A scholar is included among the top collaborators of Lauren M. Tanabe 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 Lauren M. Tanabe. Lauren M. Tanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 23 | |
| 3 | 20 | |
| 4 | 41 | |
| 5 | 93 | |
| 6 | 50 | |
| 7 | 20 | |
| 8 | 107 | |
| 9 | 38 | |
| 10 | 98 | |
| 11 | 119 | |
| 12 | 51 | |
| 13 | 84 | |
| 14 | 66 | |
| 15 | 24 | |
| 16 | 93 | |
| 17 | 54 |
About Lauren M. Tanabe
Lauren M. Tanabe is a scholar working on Cellular and Molecular Neuroscience, Hepatology and Immunology and Allergy, having authored 17 papers that have together received 995 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neurological disorders and treatments (5 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (556 citations), Neurology (309 citations) and Clinical Biochemistry (47 citations). Lauren M. Tanabe has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include William T. Dauer, Karin List, Paul Vezina, Jennifer D. Austin, Chun-Chi Liang, Nobuyoshi Suto, Connie E. Kim, Noga Alagem, Stephanie Jou and Caitlin Martin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.