Shinichiro Nakada
- Molecular Biology top 2%
- DNA Repair Mechanisms 24
- CRISPR and Genetic Engineering 9
- Ubiquitin and proteasome pathways 9
- Cancer therapeutics and mechanisms 5
- Oncology top 2%
- Cancer-related Molecular Pathways 6
- PARP inhibition in cancer therapy 4
- Polyomavirus and related diseases 3
- Cancer Research top 5%
- Cell Biology top 5%
- Aging top 10%
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- Hepatocellular Carcinoma Treatment and Prognosis 6
- Co-authors
- Daniel DurocherStephanie PanierJarkko YlankoMegan MendezNadine K. KolasLaurence PelletierJan WildenhainAnne‐Claude Gingras
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Shinichiro Nakada
47 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 3.0k
- Oncology 1.1k
- Cancer Research 348
- Cell Biology 326
- Aging 31
Countries citing papers authored by Shinichiro Nakada
This map shows the geographic impact of Shinichiro Nakada'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 Shinichiro Nakada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinichiro Nakada more than expected).
Fields of papers citing papers by Shinichiro Nakada
This network shows the impact of papers produced by Shinichiro Nakada. 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 Shinichiro Nakada. The network helps show where Shinichiro Nakada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shinichiro Nakada, 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 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 9 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 130 | |
| 8 | 2019 | 7 | |
| 9 | 2018 | 77 | |
| 10 | 2018 | 241 | |
| 11 | 2018 | 22 | |
| 12 | 2017 | 29 | |
| 13 | 2017 | 131 | |
| 14 | 2017 | 35 | |
| 15 | 2014 | 80 | |
| 16 | 2012 | 50 | |
| 17 | 2010 | 297 | |
| 18 | The RIDDLE Syndrome Protein Mediates a Ubiquitin-Dependent Signaling Cascade at Sites of DNA Damagebreakdown → | 2009 | 599 |
| 19 | 2005 | 42 | |
| 20 | Clinical Study of Convulsions with Mild Gastroenteritis | 2002 | 3 |
About Shinichiro Nakada
Shinichiro Nakada is a scholar working on Hepatology, Oncology and Aging, having authored 51 papers that have together received 3.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (24 papers), CRISPR and Genetic Engineering (9 papers), Ubiquitin and proteasome pathways (9 papers), Cancer-related Molecular Pathways (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer therapeutics and mechanisms (5 papers), PARP inhibition in cancer therapy (4 papers) and Polyomavirus and related diseases (3 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Oncology (1.1k citations) and Cancer Research (348 citations). Shinichiro Nakada has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Daniel Durocher, Stephanie Panier, Jarkko Ylanko, Megan Mendez, Nadine K. Kolas, Laurence Pelletier, Jan Wildenhain, Anne‐Claude Gingras, Richard Chahwan and Stephen P. Jackson. Their work appears in journals such as Nature, Science and Cell.
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.