Naoaki Misawa

2.2k total citations
109 papers, 1.7k citations indexed

About

Naoaki Misawa is a scholar working on Food Science, Infectious Diseases and Epidemiology. According to data from OpenAlex, Naoaki Misawa has authored 109 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Food Science, 43 papers in Infectious Diseases and 19 papers in Epidemiology. Recurrent topics in Naoaki Misawa's work include Salmonella and Campylobacter epidemiology (43 papers), Viral gastroenteritis research and epidemiology (24 papers) and Listeria monocytogenes in Food Safety (12 papers). Naoaki Misawa is often cited by papers focused on Salmonella and Campylobacter epidemiology (43 papers), Viral gastroenteritis research and epidemiology (24 papers) and Listeria monocytogenes in Food Safety (12 papers). Naoaki Misawa collaborates with scholars based in Japan, United Kingdom and Thailand. Naoaki Misawa's co-authors include Wataru Yamazaki, Masumi Taguchi, Yuko Kumeda, Kyaw Kyaw Moe, Masafumi Nukina, Tetsuya Hayashi, Kiyoshi Inoue, Kentaro Kawatsu, Takako Taniguchi and Kikuji Itoh and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Naoaki Misawa

103 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoaki Misawa Japan 24 635 540 333 306 254 109 1.7k
Hailu Kinde United States 32 713 1.1× 575 1.1× 277 0.8× 302 1.0× 283 1.1× 78 2.9k
Amir Abdulmawjood Germany 26 611 1.0× 524 1.0× 817 2.5× 616 2.0× 212 0.8× 141 2.7k
B.E. Gillespie United States 31 1.3k 2.0× 459 0.8× 532 1.6× 395 1.3× 231 0.9× 80 2.8k
Motoo Matsuda Japan 19 951 1.5× 650 1.2× 317 1.0× 198 0.6× 182 0.7× 130 1.7k
Alfonso Zecconi Italy 31 734 1.2× 495 0.9× 504 1.5× 101 0.3× 348 1.4× 113 2.4k
J. Hommez Belgium 25 512 0.8× 697 1.3× 519 1.6× 350 1.1× 157 0.6× 47 2.2k
Richard J. Meinersmann United States 31 1.5k 2.3× 635 1.2× 529 1.6× 261 0.9× 152 0.6× 94 2.6k
Richard D. Oberst United States 25 584 0.9× 879 1.6× 198 0.6× 529 1.7× 114 0.4× 66 1.8k
Serge Messier Canada 27 741 1.2× 433 0.8× 244 0.7× 170 0.6× 216 0.9× 66 1.6k
Cláudio Wageck Canal Brazil 30 536 0.8× 923 1.7× 301 0.9× 208 0.7× 87 0.3× 178 3.2k

Countries citing papers authored by Naoaki Misawa

Since Specialization
Citations

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

Fields of papers citing papers by Naoaki Misawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoaki Misawa

This figure shows the co-authorship network connecting the top 25 collaborators of Naoaki Misawa. A scholar is included among the top collaborators of Naoaki Misawa 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 Naoaki Misawa. Naoaki Misawa 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.
Misawa, Naoaki, et al.. (2024). The growth-stimulating factor of Treponema phagedenis from bovine digital dermatitis lesions. Anaerobe. 88. 102882–102882.
2.
Giangaspero, Massimo, et al.. (2023). Healthier Food of Animal Origin and Prevention of Campylobacteriosis. Advances in Microbiology. 13(5). 193–211. 1 indexed citations
3.
Shinohara, Akio, Taisei Kikuchi, Takao Irie, et al.. (2023). Distinctly different gut microbiota in Japanese badgers and Japanese raccoon dogs despite sharing similar food habits and environments. Mammalian Biology. 103(4). 363–373. 2 indexed citations
4.
Norimine, Junzo, et al.. (2023). Development of a real-time RT-PCR system applicable for rapid and pen-side diagnosis of foot-and-mouth disease using a portable device, PicoGene® PCR1100. Journal of Virological Methods. 319. 114753–114753. 3 indexed citations
5.
Mekata, Hirohisa, Kazumi Umeki, Putu Eka Sudaryatma, et al.. (2022). Seroprevalence of severe fever with thrombocytopenia syndrome virus in medium-sized wild mammals in Miyazaki, Japan. Ticks and Tick-borne Diseases. 14(2). 102115–102115. 7 indexed citations
6.
Gotoh, Yasuhiro, Takako Taniguchi, Keiji Nakamura, et al.. (2022). Helicobacter cinaedi is a human-adapted lineage in the Helicobacter cinaedi/canicola/‘magdeburgensis’ complex. Microbial Genomics. 8(5). 3 indexed citations
9.
Yoshii, Kentaro, Shintaro Kobayashi, Shigeru Morikawa, et al.. (2018). Serological survey of severe fever with thrombocytopenia syndrome virus infection in Sika deer and rodents in Japan. Jūigaku kenkyū/Japanese journal of veterinary research. 66(1). 21–28. 7 indexed citations
10.
Misawa, Naoaki, et al.. (2018). Recycling of domestic food waste. British Food Journal. 120(11). 2710–2715. 9 indexed citations
11.
Moore, John E., et al.. (2018). Antimycobacterial activity of veterinary antibiotics (Apramycin and Framycetin) against Mycobacterium abscessus: Implication for patients with cystic fibrosis. International Journal of Mycobacteriology. 7(3). 265–265. 11 indexed citations
12.
Schmitz, Jonathan E., Takako Taniguchi, Naoaki Misawa, & Timothy L. Cover. (2016). Epithelial Coculture and l -Lactate Promote Growth of Helicobacter cinaedi under H 2 -Free Aerobic Conditions. Applied and Environmental Microbiology. 82(22). 6701–6714. 2 indexed citations
13.
Mekata, Hirohisa, Atsushi Iguchi, Kimiko Kawano, et al.. (2014). Identification of O Serotypes, Genotypes, and Virulotypes of Shiga Toxin-Producing Escherichia coli Isolates, Including Non-O157 from Beef Cattle in Japan. Journal of Food Protection. 77(8). 1269–1274. 20 indexed citations
15.
Tomida, Junko, Tatsuya Okamoto, Yuji Morita, et al.. (2013). Comparative evaluation of agar dilution and broth microdilution methods for antibiotic susceptibility testing of Helicobacter cinaedi. Microbiology and Immunology. 57(5). 353–358. 18 indexed citations
17.
Misawa, Naoaki, et al.. (2008). Assessment of Protein G in Serodiagnosis of Zoo Animals and Development of an Enzyme-Linked Immunosorbent Assay for Asian Elephant. Journal of the Japan Veterinary Medical Association. 61(1). 75–78. 2 indexed citations
18.
Nomoto, Ryohei, Yoshiko Shimahara, Hiroshi Yasuda, et al.. (2004). Lancefield group C Streptococcus dysgalactiae infection responsible for fish mortalities in Japan. Journal of Fish Diseases. 27(12). 679–686. 68 indexed citations
19.
Misawa, Naoaki, Kumiko Kawashima, & Fusao Kondo. (2001). Epidemiological Survey of Campylobacter upsaliensis Carried by Dogs and Cats in the South-Kyushu Area of Japan. Journal of the Japan Veterinary Medical Association. 54(9). 707–711. 2 indexed citations
20.
Goto, Yoshitaka, et al.. (1998). The erythrocyte receptor forFusobacterium necrophorumhemolysin: phosphatidylcholine as a possible candidate. FEMS Microbiology Letters. 168(1). 65–70. 11 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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