Junji Seto

883 total citations
57 papers, 560 citations indexed

About

Junji Seto is a scholar working on Infectious Diseases, Epidemiology and Endocrinology. According to data from OpenAlex, Junji Seto has authored 57 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Infectious Diseases, 29 papers in Epidemiology and 10 papers in Endocrinology. Recurrent topics in Junji Seto's work include Respiratory viral infections research (13 papers), Tuberculosis Research and Epidemiology (12 papers) and Mycobacterium research and diagnosis (10 papers). Junji Seto 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). Junji Seto collaborates with scholars based in Japan, United States and Ireland. Junji Seto's co-authors include Katsumi Mizuta, Yu Suzuki, Tatsuya Ikeda, Yoko Matsuzaki, Tadayuki Ahiko, Tsutomu Itagaki, Chihiro Sugimoto, Chieko Abiko, Ryo Nakao and Takayuki Wada and has published in prestigious journals such as PLoS ONE, Scientific Reports and Emerging infectious diseases.

In The Last Decade

Junji Seto

52 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junji Seto Japan 13 266 261 97 87 86 57 560
M. L. Pacciarini Italy 14 417 1.6× 231 0.9× 75 0.8× 94 1.1× 51 0.6× 24 638
Esterina De Carlo Italy 15 148 0.6× 197 0.8× 37 0.4× 60 0.7× 82 1.0× 90 726
D. Hüssy Switzerland 15 152 0.6× 241 0.9× 46 0.5× 66 0.8× 152 1.8× 26 663
Francisco Suàrez-Güémes Mexico 15 195 0.7× 241 0.9× 46 0.5× 64 0.7× 143 1.7× 44 576
D. F. Twomey United Kingdom 15 155 0.6× 156 0.6× 23 0.2× 101 1.2× 74 0.9× 33 413
Héctor D. Tarabla Argentina 14 264 1.0× 98 0.4× 44 0.5× 259 3.0× 32 0.4× 53 591
Simona Zoppi Italy 16 273 1.0× 232 0.9× 15 0.2× 51 0.6× 54 0.6× 47 609
Toru ANZAI Japan 16 322 1.2× 91 0.3× 122 1.3× 77 0.9× 194 2.3× 48 759
Antonietta Di Francesco Italy 17 174 0.7× 271 1.0× 37 0.4× 44 0.5× 439 5.1× 65 739
W. Herbst Germany 18 536 2.0× 165 0.6× 22 0.2× 83 1.0× 77 0.9× 79 977

Countries citing papers authored by Junji Seto

Since Specialization
Citations

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

Fields of papers citing papers by Junji Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Seto

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Seto. A scholar is included among the top collaborators of Junji Seto 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 Junji Seto. Junji Seto 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.
Abe, Akiko, M. Kitamura, Saori Tanabe, et al.. (2025). Parechovirus A3 Infections, Including Myalgia, in Yamagata, Japan, Between 2022 and 2023 and Their Next-Generation Sequencing Analyses. Japanese Journal of Infectious Diseases. 79(2). 76–90. 1 indexed citations
2.
Yamamoto, Kichizo, Tomoki Nakaya, Naoya Fujiwara, et al.. (2025). Geodemographic analysis of socioeconomic area disparities in tuberculosis incidence in Osaka City, Japan. Scientific Reports. 15(1). 15968–15968.
3.
Kishimoto, Mai, Yukari Itakura, Koshiro Tabata, et al.. (2024). A wide distribution of Beiji nairoviruses and related viruses in Ixodes ticks in Japan. Ticks and Tick-borne Diseases. 15(6). 102380–102380.
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6.
Seto, Junji, Takayuki Wada, Yoshiro Murase, et al.. (2023). Molecular Investigation of the Epidemiology of Tuberculosis Using <i>Mycobacterium tuberculosis</i> Genome Analysis in Yamagata Prefecture. Kansenshogaku zasshi. 97(1). 6–17. 1 indexed citations
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Fujiwara, Naoya, et al.. (2022). Analytical estimation of maximum fraction of infected individuals with one-shot non-pharmaceutical intervention in a hybrid epidemic model. BMC Infectious Diseases. 22(1). 512–512. 1 indexed citations
9.
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
10.
Onodera, Hiroshi, Tatsuya Watanabe, Hiroko Saito, et al.. (2019). Rat-Bite Fever Due to <i>Streptobacillus moniliformis</i> in a Patient without Bite History: an Unexpected Cause of Consciousness Disturbance. Japanese Journal of Infectious Diseases. 73(1). 85–87. 9 indexed citations
11.
Thu, May June, Yongjin Qiu, Keita Matsuno, et al.. (2019). Diversity of spotted fever group rickettsiae and their association with host ticks in Japan. Scientific Reports. 9(1). 1500–1500. 52 indexed citations
12.
Seto, Junji, Yohei Matoba, Yu Suzuki, et al.. (2018). Detection of modified measles and super-spreader using a real-time reverse transcription PCR in the largest measles outbreak, Yamagata, Japan, 2017 in its elimination era. Epidemiology and Infection. 146(13). 1707–1713. 20 indexed citations
13.
Yamamoto, Kaori, Junji Seto, Akira Shimouchi, et al.. (2018). Longitudinal genotyping surveillance of Mycobacterium tuberculosis in an area with high tuberculosis incidence shows high transmission rate of the modern Beijing subfamily in Japan. Infection Genetics and Evolution. 72. 25–30. 7 indexed citations
14.
Seto, Junji, et al.. (2016). Meteorological factors affecting scrub typhus occurrence: a retrospective study of Yamagata Prefecture, Japan, 1984–2014. Epidemiology and Infection. 145(3). 462–470. 20 indexed citations
15.
Suzuki, Yu, Junji Seto, Yoshitaka Shimotai, et al.. (2016). Development of an endpoint genotyping assay to detect the Mycoplasma pneumoniae 23S rRNA gene and distinguish the existence of macrolide resistance-associated mutations at position 2063. Journal of Microbiological Methods. 131. 130–134. 10 indexed citations
16.
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
17.
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
18.
Yokoyama, Eiji, Tomotada Iwamoto, Noriko Nakanishi, et al.. (2015). Comparative analysis of Mycobacterium tuberculosis Beijing strains isolated in three remote areas of Japan. Infection Genetics and Evolution. 34. 444–449. 3 indexed citations
19.
Ooka, Tadasuke, Yoshitoshi Ogura, Kazuko Seto, et al.. (2015). Defining the genome features ofEscherichia albertii, an emerging enteropathogen closely related toEscherichia coli. Genome Biology and Evolution. 7(12). evv211–evv211. 68 indexed citations
20.
Suzuki, Hiroki, Mari Watanabe, Mami Morita, et al.. (2014). A case of pneumonia caused by Legionella pneumophila serogroup 12 and treated successfully with imipenem. Journal of Infection and Chemotherapy. 20(6). 390–393. 4 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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