Shuji Tsuda
- Health, Toxicology and Mutagenesis top 0.5%
- Cancer Research top 2%
- Environmental Chemistry top 1%
- Molecular Biology top 10%
- Plant Science top 5%
- Co-authors
- Yū F. SasakiEmi NishidateItaru SatoFusako IzumiyamaNaonori MatsusakaWei LiuKazuyuki TANIGUCHISatomi Kawaguchi
- Topics
- Carcinogens and Genotoxicity Assessment (33 papers)Toxic Organic Pollutants Impact (21 papers)Per- and polyfluoroalkyl substances research (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyPLoS ONE
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Shuji Tsuda
107 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Health, Toxicology and Mutagenesis 1.4k
- Cancer Research 946
- Environmental Chemistry 785
- Molecular Biology 711
- Plant Science 563
Countries citing papers authored by Shuji Tsuda
This map shows the geographic impact of Shuji Tsuda'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 Shuji Tsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuji Tsuda more than expected).
Fields of papers citing papers by Shuji Tsuda
This network shows the impact of papers produced by Shuji Tsuda. 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 Shuji Tsuda. The network helps show where Shuji Tsuda may publish in the future.
Co-authorship network of co-authors of Shuji Tsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Shuji Tsuda. A scholar is included among the top collaborators of Shuji Tsuda 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 Shuji Tsuda. Shuji Tsuda 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | The Background of Calculating CAVI: Lesson from the Discrepancy Between CAVI and CAVI0 | 1 |
| 8 | 1 | |
| 9 | 49 | |
| 10 | The comet assay with 8 mouse organs: results with 39 currently used food additivesbreakdown → | 566 |
| 11 | O11-17 Evaluation of in vivo genotoxicity of N-nitrosoamines derived from sodium nitrite and secondary amines | 1 |
| 12 | 49 | |
| 13 | 197 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 27 | |
| 17 | 19 | |
| 18 | 15 | |
| 19 | 2 | |
| 20 | 5 |
About Shuji Tsuda
Shuji Tsuda is a scholar working on Chemical Health and Safety, Health, Toxicology and Mutagenesis and Cancer Research, having authored 115 papers that have together received 3.5k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (33 papers), Toxic Organic Pollutants Impact (21 papers) and Per- and polyfluoroalkyl substances research (19 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.4k citations), Environmental Chemistry (785 citations) and Cancer Research (946 citations). Shuji Tsuda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yū F. Sasaki, Emi Nishidate, Itaru Sato, Fusako Izumiyama, Naonori Matsusaka, Wei Liu, Kazuyuki TANIGUCHI, Satomi Kawaguchi, Norimitsu Saito and Kaoru Sekihashi. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.
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.