Gwen Tatsuno
- Physiology top 0.5%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Pharmacology top 2%
- Neurology top 2%
- Co-authors
- Lisa McConlogueDora KholodenkoEliezer MasliahLennart MuckeKang HuEdward RockensteinGui-Qiu YuKelly Johnson‐Wood
- Topics
- Growth Hormone and Insulin-like Growth Factors (4 papers)Virus-based gene therapy research (2 papers)Lipid metabolism and disorders (2 papers)
- Partner nations
- United States
In The Last Decade
Gwen Tatsuno
9 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Physiology 2.1k
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 1.0k
- Pharmacology 577
- Neurology 504
Countries citing papers authored by Gwen Tatsuno
This map shows the geographic impact of Gwen Tatsuno'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 Gwen Tatsuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwen Tatsuno more than expected).
Fields of papers citing papers by Gwen Tatsuno
This network shows the impact of papers produced by Gwen Tatsuno. 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 Gwen Tatsuno. The network helps show where Gwen Tatsuno may publish in the future.
Co-authorship network of co-authors of Gwen Tatsuno
This figure shows the co-authorship network connecting the top 25 collaborators of Gwen Tatsuno. A scholar is included among the top collaborators of Gwen Tatsuno 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 Gwen Tatsuno. Gwen Tatsuno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 162 | |
| 3 | 3 | |
| 4 | High-Level Neuronal Expression of Aβ1–42in Wild-Type Human Amyloid Protein Precursor Transgenic Mice: Synaptotoxicity without Plaque Formationbreakdown → | 1543 |
| 5 | Plaque-independent disruption of neural circuits in Alzheimer’s disease mouse modelsbreakdown → | 927 |
| 6 | Properties of glycosylated and non-glycosylated human recombinant IGF binding protein-3 (IGFBP-3). | 29 |
| 7 | 41 | |
| 8 | 24 | |
| 9 | 26 |
About Gwen Tatsuno
Gwen Tatsuno is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 2.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Virus-based gene therapy research (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Physiology (2.1k citations), Neurology (504 citations) and Cellular and Molecular Neuroscience (1.0k citations). Gwen Tatsuno has collaborated with scholars based in United States. Frequent co-authors include Lisa McConlogue, Dora Kholodenko, Eliezer Masliah, Lennart Mucke, Kang Hu, Edward Rockenstein, Gui-Qiu Yu, Kelly Johnson‐Wood, Margaret Mallory and Gui-Qiu Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Virology.
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.