Stephanie Tankou
- Biological Psychiatry top 2%
- Behavioral Neuroscience top 5%
- Molecular Biology top 5%
- Gut microbiota and health 8
- Receptor Mechanisms and Signaling 2
- Phosphodiesterase function and regulation 2
- Biochemistry top 5%
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- Probiotics and Fermented Foods 4
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- Clostridium difficile and Clostridium perfringens research 3
- SARS-CoV-2 and COVID-19 Research 2
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- Gastrointestinal motility and disorders 2
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- Multiple Sclerosis Research Studies 2
- Co-authors
- Akira SawaJaime H. CheahMakoto R. HaraSolomon H. SnyderYuji OzekiMatthew B. CascioMasahiro FujimuroNishant Agrawal
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Stephanie Tankou
18 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Biological Psychiatry 247
- Behavioral Neuroscience 103
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 317
- Biochemistry 121
Countries citing papers authored by Stephanie Tankou
This map shows the geographic impact of Stephanie Tankou'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 Stephanie Tankou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie Tankou more than expected).
Fields of papers citing papers by Stephanie Tankou
This network shows the impact of papers produced by Stephanie Tankou. 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 Stephanie Tankou. The network helps show where Stephanie Tankou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephanie Tankou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 45 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 9 | |
| 6 | Gut Microbiome in Progressive Multiple Sclerosisbreakdown → | 2021 | 190 |
| 7 | 2019 | 8 | |
| 8 | 2019 | 155 | |
| 9 | 2018 | 107 | |
| 10 | 2018 | 190 | |
| 11 | 2016 | 2 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 4 | |
| 14 | 2015 | 2 | |
| 15 | 2013 | 227 | |
| 16 | 2007 | 20 | |
| 17 | 2007 | 335 | |
| 18 | S-nitrosylated GAPDH initiates apoptotic cell death by nuclear translocation following Siah1 bindingbreakdown → | 2005 | 871 |
| 19 | 2005 | 8 |
About Stephanie Tankou
Stephanie Tankou is a scholar working on Biological Psychiatry, Gastroenterology and Behavioral Neuroscience, having authored 19 papers that have together received 2.2k indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), Probiotics and Fermented Foods (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Gastrointestinal motility and disorders (2 papers), Multiple Sclerosis Research Studies (2 papers), Receptor Mechanisms and Signaling (2 papers) and Phosphodiesterase function and regulation (2 papers). The work is most often cited by research in Biological Psychiatry (247 citations), Behavioral Neuroscience (103 citations) and Molecular Biology (1.5k citations). Stephanie Tankou has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Akira Sawa, Jaime H. Cheah, Makoto R. Hara, Solomon H. Snyder, Yuji Ozeki, Matthew B. Cascio, Masahiro Fujimuro, Nishant Agrawal, S. Diane Hayward and Christopher D. Ferris. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Cell Biology.
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.