Tosiya Sato

5.4k citations
147 papers · 3.6k indexed · h-index 31
Topics
Statistical Methods in Clinical Trials (17 papers)Advanced Causal Inference Techniques (16 papers)Statistical Methods and Inference (14 papers)

In The Last Decade

Tosiya Sato

140 papers receiving 3.5k citations

Peers

Tosiya Sato
Comparison fields: 5 of 151
  • Epidemiology 762
  • Surgery 718
  • Oncology 656
  • Pulmonary and Respiratory Medicine 585
  • Hepatology 501
Replace Alexander Strasak with:
Alexander Strasak Austria
Tae‐Hyun Yoo South Korea
Seung Hyeok Han South Korea
Oriana Nanni Italy
Yingying Sang United States
Michael T. Nurmohamed Netherlands
Alison M. MacLeod United Kingdom
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Jason T. Connor United States
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Tosiya Sato relative to Alexander Strasak Austria Alexander Strasak's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tosiya Sato

Since Specialization
Citations

This map shows the geographic impact of Tosiya Sato'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 Tosiya Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tosiya Sato more than expected).

Fields of papers citing papers by Tosiya Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tosiya Sato. 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 Tosiya Sato. The network helps show where Tosiya Sato may publish in the future.

Co-authorship network of co-authors of Tosiya Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Tosiya Sato. A scholar is included among the top collaborators of Tosiya Sato 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 Tosiya Sato. Tosiya Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 28
3 1
4 2
5 18
6 37
7 22
8 110
9 31
10 2
11 16
12 0
13 200
14 28
15 14
16 29
17 27
18
Elementary methods of cohort analysis with several exposure levels.
1
19 10
20
On the variance estimator for the Mantel-Haenszel risk difference
30

About Tosiya Sato

Tosiya Sato is a scholar working on Statistics and Probability, Hepatology and Anesthesiology and Pain Medicine, having authored 147 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (17 papers), Advanced Causal Inference Techniques (16 papers) and Statistical Methods and Inference (14 papers). The work is most often cited by research in Hepatology (501 citations), Statistics and Probability (309 citations) and Critical Care and Intensive Care Medicine (173 citations). Tosiya Sato has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yutaka Matsuyama, Takuji Okusaka, Hiroshi Nitta, Junji Furuse, Kenji Ueshima, Masatoshi Kudo, S. Nakai, Shigenobu Aoki, Kazuho Maeda and Hiroshi Ishii. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Oncology.

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.

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