Mika Saito

993 citations
45 papers · 689 indexed · h-index 14

Mika Saito

42 papers receiving 649 citations

Peers

Mika Saito
Comparison fields: 5 of 103
  • General Economics, Econometrics and Finance 140
  • Infectious Diseases 219
  • Parasitology 58
  • Public Health, Environmental and Occupational Health 194
  • Microbiology 4
Replace Gaurav Agrawal with:
Gaurav Agrawal India
Carlos A. Rodríguez Colombia
Julie K. Smith United States
Nguyễn Thị Thanh Hà United Kingdom
Salma Akter Bangladesh
James L. Pierce United States
Debapriya Bhattacharya India
Hai Huang China
Christopher Khayeka‐Wandabwa Kenya
Muhammad Sabir Indonesia
Mika Saito relative to Gaurav Agrawal India Gaurav Agrawal's profile →
Citations per field
00.5×1.6×
Gaurav Agrawal · 1×
Citations per year

Countries citing papers authored by Mika Saito

Since Specialization
Citations

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

Fields of papers citing papers by Mika Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mika Saito, 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 Mika Saito Line = papers co-authored together Mika Saito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20208
4 20153
5 20157
6 20156
7 20135
8 201244
9 20113
10 201016
11 200930
12 20091
13 20087
14 20071
15 200734
16 2005113
17 200147
18
[原著]Seroepidemiological study of arbovirus infections in Khammouane Province, Lao PDR
19953
19
Arbovirus Infections in Pilot Areas in Laos
19947
20 199248

About Mika Saito

Mika Saito is a scholar working on General Economics, Econometrics and Finance, Parasitology and Infectious Diseases, having authored 45 papers that have together received 689 indexed citations. Recurring topics across this work include Global trade and economics (9 papers), Mosquito-borne diseases and control (9 papers), Viral Infections and Vectors (7 papers), Global Trade and Competitiveness (5 papers), Economic Growth and Productivity (4 papers), Monetary Policy and Economic Impact (4 papers), Fiscal Policy and Economic Growth (4 papers) and Economic Growth and Development (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (140 citations), Infectious Diseases (219 citations) and Parasitology (58 citations). Mika Saito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshihiro Makino, T. Fukunaga, Masayuki Tadano, Virat Sirisanthana, Niwat Maneekarn, Nopporn Sittisombut, Mitsuhiko Asakawa, Christian Henn, Shigeaki Harayama and Christian Saborowski. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Microbiology and Biotechnology and European Journal of Pharmacology.

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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