Nobuo Sasaki
- Molecular Biology top 2%
- Oncology top 1%
- Genetics top 2%
- Surgery top 5%
- Biomedical Engineering top 5%
- Co-authors
- Hans CleversAlexander van OudenaardenAnna LyubimovaMarc van de WeteringJohan H. van EsToshiro SatoKay WiebrandsOnur Başak
- Topics
- Cancer Cells and Metastasis (11 papers)Developmental Biology and Gene Regulation (7 papers)Digestive system and related health (5 papers)
- Cited by
- OncologyHepatologyCancer Research
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Nobuo Sasaki
49 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 3.4k
- Oncology 1.8k
- Genetics 943
- Surgery 936
- Biomedical Engineering 869
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 of co-authors of Nobuo Sasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Sasaki. A scholar is included among the top collaborators of Nobuo Sasaki 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 Nobuo Sasaki. Nobuo Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 25 | |
| 8 | 88 | |
| 9 | 312 | |
| 10 | 206 | |
| 11 | Reg4+ Deep Crypt Secretory cells function as epithelial niche for Lgr5+ stem cells in colon | 17 |
| 12 | 145 | |
| 13 | Single-cell messenger RNA sequencing reveals rare intestinal cell typesbreakdown → | 847 |
| 14 | 0 | |
| 15 | Functional Repair of CFTR by CRISPR/Cas9 in Intestinal Stem Cell Organoids of Cystic Fibrosis Patientsbreakdown → | 1034 |
| 16 | 77 | |
| 17 | 35 | |
| 18 | 1 | |
| 19 | 139 | |
| 20 | 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) and Digestive system and related health (5 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.