Nobuo Sasaki
- Oncology top 1%
- Cancer Cells and Metastasis 11
- Hepatology top 2%
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 4
- Aging top 5%
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- Developmental Biology and Gene Regulation 7
- Gut microbiota and health 5
- Epigenetics and DNA Methylation 4
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- Digestive system and related health 5
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- Anesthesia and Sedative Agents 5
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- Intensive Care Unit Cognitive Disorders 4
- Co-authors
- Hans CleversAlexander van OudenaardenAnna LyubimovaMarc van de WeteringJohan H. van EsToshiro SatoKay WiebrandsOnur Başak
- Cited by
- OncologyHepatologyCancer Research
- Journals
- Nature (3 papers)Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Nobuo Sasaki
49 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Oncology 1.8k
- Hepatology 523
- Cancer Research 783
- Business and International Management 99
- Aging 87
Countries citing papers authored by Nobuo Sasaki
This map shows the geographic impact of Nobuo Sasaki'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 Nobuo Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuo Sasaki more than expected).
Fields of papers citing papers by Nobuo Sasaki
This network shows the impact of papers produced by Nobuo Sasaki. 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 Nobuo Sasaki. The network helps show where Nobuo Sasaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nobuo Sasaki, 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 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 25 | |
| 8 | 2018 | 88 | |
| 9 | 2017 | 312 | |
| 10 | 2016 | 206 | |
| 11 | Reg4+ Deep Crypt Secretory cells function as epithelial niche for Lgr5+ stem cells in colon | 2016 | 17 |
| 12 | 2015 | 145 | |
| 13 | Single-cell messenger RNA sequencing reveals rare intestinal cell typesbreakdown → | 2015 | 847 |
| 14 | 2014 | 0 | |
| 15 | Functional Repair of CFTR by CRISPR/Cas9 in Intestinal Stem Cell Organoids of Cystic Fibrosis Patientsbreakdown → | 2013 | 1034 |
| 16 | 2013 | 77 | |
| 17 | 2010 | 35 | |
| 18 | 2007 | 1 | |
| 19 | 2003 | 139 | |
| 20 | 1982 | 3 |
About Nobuo Sasaki
Nobuo Sasaki is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Developmental Neuroscience, having authored 59 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Developmental Biology and Gene Regulation (7 papers), Digestive system and related health (5 papers), Gut microbiota and health (5 papers), Anesthesia and Sedative Agents (5 papers), Intensive Care Unit Cognitive Disorders (4 papers), Cancer Genomics and Diagnostics (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Oncology (1.8k citations), Hepatology (523 citations) and Cancer Research (783 citations). Nobuo Sasaki has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Hans Clevers, Alexander van Oudenaarden, Anna Lyubimova, Marc van de Wetering, Johan H. van Es, Toshiro Sato, Kay Wiebrands, Onur Başak, Lennart Kester and Dominic Grün. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.