Mitsumasa Saito

2.0k total citations
100 papers, 1.5k citations indexed

About

Mitsumasa Saito is a scholar working on Infectious Diseases, Parasitology and Epidemiology. According to data from OpenAlex, Mitsumasa Saito has authored 100 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Infectious Diseases, 26 papers in Parasitology and 25 papers in Epidemiology. Recurrent topics in Mitsumasa Saito's work include Leptospirosis research and findings (25 papers), Streptococcal Infections and Treatments (13 papers) and Legionella and Acanthamoeba research (12 papers). Mitsumasa Saito is often cited by papers focused on Leptospirosis research and findings (25 papers), Streptococcal Infections and Treatments (13 papers) and Legionella and Acanthamoeba research (12 papers). Mitsumasa Saito collaborates with scholars based in Japan, Philippines and United States. Mitsumasa Saito's co-authors include Shin�ichi Yoshida, Sharon Y. A. M. Villanueva, Nina G. Gloriani, Satoshi Miyahara, Ken‐ichiro Iida, Hiroaki Nakayama, Masanori SEKI, Akiko Umeda, Toshiro Hara and Midori Ogawa and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Mitsumasa Saito

95 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsumasa Saito Japan 22 522 364 362 267 210 100 1.5k
Eberhard Straube Germany 28 470 0.9× 722 2.0× 554 1.5× 216 0.8× 318 1.5× 78 2.0k
Paul B. Keiser United States 17 806 1.5× 474 1.3× 439 1.2× 114 0.4× 202 1.0× 35 1.6k
Marco Caldín Italy 28 678 1.3× 699 1.9× 280 0.8× 248 0.9× 371 1.8× 107 2.2k
Tove Ejlertsen Denmark 19 148 0.3× 721 2.0× 315 0.9× 201 0.8× 163 0.8× 62 1.5k
Carl Påhlson Sweden 22 659 1.3× 606 1.7× 477 1.3× 181 0.7× 246 1.2× 46 1.7k
A. Curry United Kingdom 26 436 0.8× 646 1.8× 326 0.9× 158 0.6× 82 0.4× 60 2.0k
Mostafa Rezaeian Iran 27 912 1.7× 533 1.5× 139 0.4× 589 2.2× 164 0.8× 122 2.0k
Tamara Tuuminen Finland 18 117 0.2× 429 1.2× 450 1.2× 150 0.6× 153 0.7× 75 1.1k
Philippe Riegel France 22 124 0.2× 413 1.1× 348 1.0× 299 1.1× 186 0.9× 39 1.1k
Jette Bangsborg Denmark 24 284 0.5× 554 1.5× 468 1.3× 433 1.6× 159 0.8× 83 1.7k

Countries citing papers authored by Mitsumasa Saito

Since Specialization
Citations

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

Fields of papers citing papers by Mitsumasa Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsumasa Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsumasa Saito. A scholar is included among the top collaborators of Mitsumasa Saito 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 Mitsumasa Saito. Mitsumasa Saito 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.
Miyahara, Satoshi, Toshiyuki Yoneda, Satoshi Kimura, et al.. (2025). Development of a PCR method for rapid detection of Leptospira from one microliter of whole blood. Diagnostic Microbiology and Infectious Disease. 113(1). 116894–116894.
2.
Miyahara, Satoshi, Hiroshi Mori, Kazumasa Fukuda, Midori Ogawa, & Mitsumasa Saito. (2024). Non-purulent myositis caused by direct invasion of skeletal muscle tissue by Leptospira in a hamster model. Infection and Immunity. 92(2). e0042023–e0042023. 1 indexed citations
3.
Miyahara, Satoshi, Kazumasa Fukuda, Mitsumasa Saito, et al.. (2024). Effective biofilm eradication in MRSA isolates with aminoglycoside-modifying enzyme genes using high-concentration and prolonged gentamicin treatment. Microbiology Spectrum. 12(10). e0064724–e0064724. 2 indexed citations
4.
Miyahara, Satoshi, Sharon Y. A. M. Villanueva, Takaaki Kanemaru, et al.. (2023). Protective role of stratum corneum in percutaneous Leptospira infection in a hamster model. Microbial Pathogenesis. 182. 106243–106243. 2 indexed citations
5.
Choi, Yong‐Joon, Kazuhiro Takahashi, Toshihiko Noda, et al.. (2022). Detection system for Legionella bacteria using photogate-type optical sensor. Japanese Journal of Applied Physics. 61(SD). SD1010–SD1010. 4 indexed citations
6.
7.
Masuzawa, Toshiyuki, Satoshi Miyahara, Fumiko Obata, et al.. (2021). A machine learning model of microscopic agglutination test for diagnosis of leptospirosis. PLoS ONE. 16(11). e0259907–e0259907. 9 indexed citations
8.
Ishida, Mákoto, Kazuaki Sawada, Katsuyuki Machida, et al.. (2018). Chemical Kinetic Analysis for Temporal Variation of Fluorescence from Legionella. The Japan Society of Applied Physics. 1 indexed citations
9.
Sawada, Kazuaki, et al.. (2018). Fluorescent characteristics of Legionella for the detection of photogate-type sensor. IEICE Technical Report; IEICE Tech. Rep.. 118(175). 5–8.
10.
Kanazawa, Ayako, Hideaki Arai, Keiji Nagata, et al.. (2017). A Case of Infectious Enterocolitis with Hyperammonemia. Journal of UOEH. 39(4). 271–276. 5 indexed citations
11.
Fukuda, Kazumasa, Satoko Shimizu, Nobuya Harayama, et al.. (2017). The first fatal case of Corynebacterium ulcerans infection in Japan. JMM Case Reports. 4(8). e005106–e005106. 11 indexed citations
12.
Amako, Kazunobu, et al.. (2016). Non‐exponential growth of Mycobacterium leprae Thai‐53 strain cultured in vitro. Microbiology and Immunology. 60(12). 817–823. 4 indexed citations
13.
Villanueva, Sharon Y. A. M., Mitsumasa Saito, Crystal Amiel M. Estrada, et al.. (2014). Leptospira-rat-human relationship in Luzon, Philippines. Microbes and Infection. 16(11). 902–910. 26 indexed citations
14.
Sawada, Kazuaki, Mákoto Ishida, Katsuyuki Machida, et al.. (2013). Bio-MEMS Chip for Bacteria Detection -A Challenge of Si Technology to Biomedical Field-. ECS Meeting Abstracts. MA2013-02(33). 2222–2222. 1 indexed citations
15.
Kusuhara, Koichi, Takayuki Hoshina, Mitsumasa Saito, et al.. (2012). Successful treatment of a patient with tumor necrosis factor receptor‐associated periodic syndrome using a half‐dose of etanercept. Pediatrics International. 54(4). 552–555. 5 indexed citations
16.
Hoshina, Takayuki, Koichi Kusuhara, Mitsumasa Saito, et al.. (2009). Cytomegalovirus-Associated Protein-Losing Enteropathy Resulting from Lymphangiectasia in an Immunocompetent Child. Japanese Journal of Infectious Diseases. 62(3). 236–238. 9 indexed citations
17.
Saito, Mitsumasa. (1999). Surface Modification of Plastics 4. 36(1). 50–55.
18.
Ohga, Shouichi, et al.. (1993). Disseminated intravascular coagulation in a patient with haemophilia B during factor IX replacement therapy. British Journal of Haematology. 84(2). 343–345. 9 indexed citations
19.
Takahashi, Hideaki E., et al.. (1990). A case of infantile spasms with congenital syphilis. Brain and Development. 12(2). 270.
20.
Kamoshita, Shigehiko, et al.. (1963). CLINICAL OBSERVATION OF PHACOMATOSIS IN INFANCY AND CHILDHOOD. 1. VON RECKLINGHAUSEN'S DISEASE.. PubMed. 9. 23–6. 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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