Mika Shigematsu
- Modeling and Simulation top 5%
- Infectious Diseases top 5%
- Endocrinology top 5%
- Vibrio bacteria research studies 3
- Epidemiology top 5%
- Influenza Virus Research Studies 11
- Data-Driven Disease Surveillance 11
- Respiratory viral infections research 5
- Parasitology top 5%
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- Salmonella and Campylobacter epidemiology 5
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- Biomedical Text Mining and Ontologies 5
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- Animal Disease Management and Epidemiology 4
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- Zoonotic diseases and public health 4
- Co-authors
- Kiyosu TaniguchiMike ConwayNigel CollierAi KawazoeElizabeth M. JohnsonBarry EvansTheresa LamagniLaura C. Streichert
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Mika Shigematsu
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Modeling and Simulation 98
- Infectious Diseases 268
- Endocrinology 72
- Epidemiology 487
- Parasitology 80
Countries citing papers authored by Mika Shigematsu
This map shows the geographic impact of Mika Shigematsu'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 Mika Shigematsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Shigematsu more than expected).
Fields of papers citing papers by Mika Shigematsu
This network shows the impact of papers produced by Mika Shigematsu. 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 Mika Shigematsu. The network helps show where Mika Shigematsu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mika Shigematsu, 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 | 2021 | 40 | |
| 2 | 2015 | 233 | |
| 3 | 2014 | 7 | |
| 4 | 2014 | 2 | |
| 5 | 2014 | 5 | |
| 6 | 2012 | 2 | |
| 7 | 2011 | 1 | |
| 8 | 2009 | 23 | |
| 9 | 2008 | 15 | |
| 10 | 2008 | 21 | |
| 11 | 2007 | 4 | |
| 12 | 2007 | 40 | |
| 13 | 2007 | 39 | |
| 14 | 2007 | 2 | |
| 15 | 2007 | 14 | |
| 16 | 2007 | 19 | |
| 17 | The Development of a Schema for the Annotation of Terms in the Biocaster Disease Detecting/Tracking System. | 2006 | 12 |
| 18 | Experimental surveillance using data on sales of over-the-counter medications--Japan, November 2003-April 2004. | 2005 | 31 |
| 19 | 2001 | 87 | |
| 20 | 1998 | 31 |
About Mika Shigematsu
Mika Shigematsu is a scholar working on Endocrinology, Modeling and Simulation and Parasitology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Data-Driven Disease Surveillance (11 papers), Respiratory viral infections research (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Biomedical Text Mining and Ontologies (5 papers), Animal Disease Management and Epidemiology (4 papers), Zoonotic diseases and public health (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Modeling and Simulation (98 citations), Infectious Diseases (268 citations) and Endocrinology (72 citations). Mika Shigematsu has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kiyosu Taniguchi, Mike Conway, Nigel Collier, Ai Kawazoe, Elizabeth M. Johnson, Barry Evans, Theresa Lamagni, Laura C. Streichert, Courtney D. Corley and Eric H. Y. Lau. Their work appears in journals such as Bioinformatics, PLoS ONE and The Journal of Infectious Diseases.
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.