Taro Kamigaki

2.3k citations
67 papers · 1.5k indexed · h-index 20
Topics
Influenza Virus Research Studies (27 papers)Respiratory viral infections research (27 papers)COVID-19 epidemiological studies (14 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Epidemiology
Partner nations
JapanPhilippinesMongolia

In The Last Decade

Taro Kamigaki

64 papers receiving 1.5k citations

Peers

Taro Kamigaki
Comparison fields: 5 of 118
  • Epidemiology 811
  • Infectious Diseases 546
  • Emergency Medical Services 241
  • Modeling and Simulation 220
  • Public Health, Environmental and Occupational Health 151
Replace Pia D. M. MacDonald with:
Pia D. M. MacDonald United States
Ernest Kenu Ghana
Carolyn M. Greene United States
Motoi Suzuki Japan
Scott J.N. McNabb United States
Osman Dar United Kingdom
G Rodier Switzerland
Catherine Houlihan United Kingdom
Carol Pertowski United States
Weigong Zhou United States
Taro Kamigaki relative to Pia D. M. MacDonald United States Pia D. M. MacDonald's profile →
Citations per field
00.5×1.5×2.2×
Pia D. M. MacDonald · 1×
Citations per year

Countries citing papers authored by Taro Kamigaki

Since Specialization
Citations

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

Fields of papers citing papers by Taro Kamigaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taro Kamigaki

This figure shows the co-authorship network connecting the top 25 collaborators of Taro Kamigaki. A scholar is included among the top collaborators of Taro Kamigaki 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 Taro Kamigaki. Taro Kamigaki 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 3
2 9
3 14
4 4
5 0
6 11
7 10
8 2
9 28
10
SOCIO-DEMOGRAPHIC CHARACTERISTICS AND GEOGRAPHIC DISTRIBUTION OF REPORTED MALARIA CASES IN BANGKA DISTRICT, BABEL ISLAND PROVINCE, INDONESIA DURING 2008-2012.
1
11 10
12 37
13 29
14 19
15 15
16 23
17 3
18 342
19 52
20 1

About Taro Kamigaki

Taro Kamigaki is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (27 papers), Respiratory viral infections research (27 papers) and COVID-19 epidemiological studies (14 papers). The work is most often cited by research in Modeling and Simulation (220 citations), Emergency Medical Services (241 citations) and Infectious Diseases (546 citations). Taro Kamigaki has collaborated with scholars based in Japan, Philippines and Mongolia. Frequent co-authors include Hitoshi Oshitani, Akira Suzuki, Isidore Koffi Kouadio, Karen Hammad, Syed Mohamed Aljunid, Yuki Furuse, Raita Tamaki, Veronica Tallo, Socorro Lupisan and Michiko Okamoto. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Epidemiology.

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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