Toshiro Tango

5.8k citations
134 papers · 4.1k · h-index 32

Impact in

Papers in

    • Data-Driven Disease Surveillance 18
    • Liver Disease Diagnosis and Treatment 6
    • Statistical Methods in Clinical Trials 14
    • Statistical Methods and Bayesian Inference 13
    • Statistical Methods and Inference 10

Toshiro Tango

131 papers receiving 3.9k citations

Peers

Toshiro Tango
Comparison fields: 5 of 178
  • Modeling and Simulation 263
  • Statistics and Probability 443
  • Epidemiology 1.4k
  • Endocrinology, Diabetes and Metabolism 417
  • Economics and Econometrics 534
Replace Michael J. Goodman with:
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Citations per field
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Citations per year

Countries citing papers authored by Toshiro Tango

Since Specialization
Citations

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

Fields of papers citing papers by Toshiro Tango

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Toshiro Tango, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Toshiro Tango Line = papers co-authored together Toshiro Tango links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005424
2 2012298
3 1995220
4 2005196
5 2003176
6 1998162
7 2003154
8 1998141
9 1995136
10 2008126
11 2000122
12 2003112
13 198893
14 201290
15 198680
16 201073
17 201370
18 200354
19 199351
20 197844

About Toshiro Tango

Toshiro Tango is a scholar working on Epidemiology, Statistics and Probability, Economics and Econometrics, Public Health, Environmental and Occupational Health and Statistics, Probability and Uncertainty, having authored 134 papers that have together received 4.1k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (18 papers), Statistical Methods in Clinical Trials (14 papers), Statistical Methods and Bayesian Inference (13 papers), Statistical Methods and Inference (10 papers), Spatial and Panel Data Analysis (7 papers), Bayesian Methods and Mixture Models (6 papers), Obesity, Physical Activity, Diet (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Modeling and Simulation (263 citations), Statistics and Probability (443 citations), Epidemiology (1.4k citations), Endocrinology, Diabetes and Metabolism (417 citations) and Economics and Econometrics (534 citations). Toshiro Tango has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Kazue Yamaoka, Kunihiko Takahashi, Martin Kulldorff, Peter J. Park, Yuriko Doi, Masumi Minowa, Michiyuki Koga, Mariko Watanabe, Eisuke Hida and Katherine Yih. Their work appears in journals such as Statistics in Medicine, Biometrics, Journal of Biopharmaceutical Statistics, Public Health Nutrition and Journal of Gastroenterology and Hepatology.

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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