Tadayuki Ahiko

1.0k total citations
40 papers, 751 citations indexed

About

Tadayuki Ahiko is a scholar working on Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tadayuki Ahiko has authored 40 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 25 papers in Infectious Diseases and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tadayuki Ahiko's work include Respiratory viral infections research (13 papers), Tuberculosis Research and Epidemiology (12 papers) and Mycobacterium research and diagnosis (10 papers). Tadayuki Ahiko is often cited by papers focused on Respiratory viral infections research (13 papers), Tuberculosis Research and Epidemiology (12 papers) and Mycobacterium research and diagnosis (10 papers). Tadayuki Ahiko collaborates with scholars based in Japan, United States and Ireland. Tadayuki Ahiko's co-authors include Katsumi Mizuta, Yoko Aoki, Tatsuya Ikeda, Yoko Matsuzaki, Tsutomu Itagaki, Chieko Abiko, Masahiro Noda, Hirokazu Kimura, Asuka Suto and Fumio Katsushima and has published in prestigious journals such as PLoS ONE, Scientific Reports and Emerging infectious diseases.

In The Last Decade

Tadayuki Ahiko

39 papers receiving 730 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tadayuki Ahiko Japan 16 464 403 320 68 61 40 751
Richard O. Cannon United States 12 275 0.6× 332 0.8× 408 1.3× 107 1.6× 23 0.4× 16 1.1k
M. S. Lye Malaysia 13 427 0.9× 259 0.6× 503 1.6× 229 3.4× 32 0.5× 19 960
Tzou‐Yien Lin Taiwan 8 259 0.6× 55 0.1× 223 0.7× 62 0.9× 46 0.8× 8 497
David Tarragó Spain 20 232 0.5× 1.0k 2.6× 141 0.4× 64 0.9× 19 0.3× 55 1.4k
Catherine Thompson United Kingdom 16 287 0.6× 832 2.1× 45 0.1× 117 1.7× 53 0.9× 29 1.2k
Margareta Eriksson Sweden 12 216 0.5× 150 0.4× 107 0.3× 8 0.1× 55 0.9× 24 624
T. A. Swartz Israel 13 287 0.6× 143 0.4× 262 0.8× 58 0.9× 23 0.4× 35 544
Kim En Lee Singapore 10 298 0.6× 406 1.0× 25 0.1× 65 1.0× 25 0.4× 10 588
Laura Bubba Italy 14 244 0.5× 233 0.6× 113 0.4× 13 0.2× 23 0.4× 31 423
Nuthapong Ukarapol Thailand 17 310 0.7× 155 0.4× 158 0.5× 10 0.1× 110 1.8× 51 662

Countries citing papers authored by Tadayuki Ahiko

Since Specialization
Citations

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

Fields of papers citing papers by Tadayuki Ahiko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayuki Ahiko

This figure shows the co-authorship network connecting the top 25 collaborators of Tadayuki Ahiko. A scholar is included among the top collaborators of Tadayuki Ahiko 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 Tadayuki Ahiko. Tadayuki Ahiko 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
1.
2.
Ko, Yura K, Yuki Furuse, Mayuko Saito, et al.. (2023). Time-varying overdispersion of SARS-CoV-2 transmission during the periods when different variants of concern were circulating in Japan. Scientific Reports. 13(1). 13230–13230. 1 indexed citations
3.
Seto, Junji, Yukitoshi Otani, Takayuki Wada, et al.. (2019). Nosocomial Mycobacterium tuberculosis transmission by brief casual contact identified using comparative genomics. Journal of Hospital Infection. 102(1). 116–119. 4 indexed citations
4.
Seto, Junji, Takayuki Wada, Yu Suzuki, et al.. (2017). Convenient PCR method for variable-number tandem-repeat typing of Mycobacterium tuberculosis clinical isolates. Journal of Microbiological Methods. 139. 12–14. 2 indexed citations
5.
Wada, Takayuki, Tomotada Iwamoto, Aki Tamaru, et al.. (2015). Clonality and Micro-Diversity of a Nationwide Spreading Genotype of Mycobacterium tuberculosis in Japan. PLoS ONE. 10(3). e0118495–e0118495. 7 indexed citations
6.
Seto, Junji, Takayuki Wada, Tomotada Iwamoto, et al.. (2015). Phylogenetic assignment of Mycobacterium tuberculosis Beijing clinical isolates in Japan by maximum a posteriori estimation. Infection Genetics and Evolution. 35. 82–88. 9 indexed citations
7.
8.
Tsuchiya, Masao, Norito Kawakami, Yutaka Ono, et al.. (2012). Impact of mental disorders on work performance in a community sample of workers in Japan: The World Mental Health Japan Survey 2002–2005. Psychiatry Research. 198(1). 140–145. 47 indexed citations
9.
Ikeda, Tatsuya, Katsumi Mizuta, Chieko Abiko, et al.. (2012). Acute respiratory infections due to enterovirus 68 in Yamagata, Japan between 2005 and 2010. Microbiology and Immunology. 56(2). 139–143. 69 indexed citations
10.
Mizuta, Katsumi, Makoto Kuroda, Tsuyoshi Sekizuka, et al.. (2012). Epidemic Myalgia in Adults Associated with Human Parechovirus Type 3 Infection, Yamagata, Japan, 2008. Emerging infectious diseases. 18(11). 1787–1793. 61 indexed citations
11.
12.
Mizuta, Katsumi, Chieko Abiko, Yoko Aoki, et al.. (2010). Endemicity of human metapneumovirus subgenogroups A2 and B2 in Yamagata, Japan, between 2004 and 2009. Microbiology and Immunology. 54(10). 634–638. 15 indexed citations
13.
Aoki, Yoko, Asuka Suto, Katsumi Mizuta, et al.. (2010). Duration of norovirus excretion and the longitudinal course of viral load in norovirus-infected elderly patients. Journal of Hospital Infection. 75(1). 42–46. 61 indexed citations
14.
Mizuta, Katsumi, Yoko Aoki, Asuka Suto, et al.. (2009). Cross-antigenicity among EV71 strains from different genogroups isolated in Yamagata, Japan, between 1990 and 2007. Vaccine. 27(24). 3153–3158. 86 indexed citations
15.
Mizuta, Katsumi, Asuka Suto, Yoko Aoki, et al.. (2009). Phylogenetic and cluster analysis of human rhinovirus species A (HRV-A) isolated from children with acute respiratory infections in Yamagata, Japan. Virus Research. 147(2). 265–274. 22 indexed citations
16.
Aoki, Yoko, Katsumi Mizuta, Asuka Suto, et al.. (2009). Importation of the Evolving Measles Virus Genotype D9 to Yamagata, Japan from Thailand in 2009. Japanese Journal of Infectious Diseases. 62(6). 481–482. 11 indexed citations
17.
Ishikawa, Nobukatsu & Tadayuki Ahiko. (2003). Breakthrough for tuberculosis control program in Japan. 78(2). 107–110. 1 indexed citations
18.
Yasumura, Seiji, et al.. (2002). [Predictors of functional status among independent and homebound community dwelling elderly: physical, psychological, and social parameters].. PubMed. 49(6). 483–96. 8 indexed citations
19.
Ahiko, Tadayuki. (1990). [Family contact examination for tuberculosis--the current situations and perspective].. PubMed. 65(11). 739–46. 1 indexed citations
20.
Haga, Hiroshi, Hiroshi Shibata, Katsurô Iwasaki, et al.. (1990). [Bedridden period before death (BPbd) and factors relating to it in a rural community in Yamagata Prefecture].. PubMed. 37(10). 851–60. 2 indexed citations

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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