Jun‐ichi Maeyama

876 total citations
33 papers, 722 citations indexed

About

Jun‐ichi Maeyama is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jun‐ichi Maeyama has authored 33 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 10 papers in Infectious Diseases and 10 papers in Epidemiology. Recurrent topics in Jun‐ichi Maeyama's work include Immune Response and Inflammation (13 papers), Immunotherapy and Immune Responses (6 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). Jun‐ichi Maeyama is often cited by papers focused on Immune Response and Inflammation (13 papers), Immunotherapy and Immune Responses (6 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). Jun‐ichi Maeyama collaborates with scholars based in Japan, United States and Armenia. Jun‐ichi Maeyama's co-authors include Norihisa Goto, Shinobu Yoshihara, Masanori Isaka, Kunio Ohkuma, Kunio Tochikubo, Yoko Yasuda, Tooru Taniguchi, Keiko Matano, Sumiko Iho and Satoshi Kozuka and has published in prestigious journals such as PLoS ONE, Infection and Immunity and Vaccine.

In The Last Decade

Jun‐ichi Maeyama

33 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐ichi Maeyama Japan 17 372 220 210 149 89 33 722
Yukari Hagiwara Japan 15 477 1.3× 158 0.7× 363 1.7× 192 1.3× 113 1.3× 17 862
Toshiya Koga United States 12 477 1.3× 150 0.7× 145 0.7× 121 0.8× 93 1.0× 18 825
Sae‐Hae Kim South Korea 17 411 1.1× 315 1.4× 111 0.5× 290 1.9× 49 0.6× 37 926
Teena Mohan India 17 431 1.2× 321 1.5× 361 1.7× 227 1.5× 18 0.2× 26 954
Rodolfo Pastelin‐Palacios Mexico 13 222 0.6× 156 0.7× 111 0.5× 222 1.5× 73 0.8× 35 655
Fadi Saadé Australia 9 306 0.8× 252 1.1× 246 1.2× 222 1.5× 21 0.2× 13 779
Chander Kanta Gupta Canada 8 243 0.7× 144 0.7× 145 0.7× 105 0.7× 23 0.3× 17 601
Luis Garcı́a Cuba 14 169 0.5× 174 0.8× 161 0.8× 95 0.6× 244 2.7× 35 653
Masanori Isaka Japan 18 237 0.6× 151 0.7× 204 1.0× 380 2.6× 137 1.5× 48 826
John B. Johnson United States 15 266 0.7× 156 0.7× 210 1.0× 161 1.1× 21 0.2× 31 731

Countries citing papers authored by Jun‐ichi Maeyama

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichi Maeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐ichi Maeyama. 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 Jun‐ichi Maeyama. The network helps show where Jun‐ichi Maeyama may publish in the future.

Co-authorship network of co-authors of Jun‐ichi Maeyama

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐ichi Maeyama. A scholar is included among the top collaborators of Jun‐ichi Maeyama 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 Jun‐ichi Maeyama. Jun‐ichi Maeyama 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.
Sasaki, Eita, Hideki Asanuma, Haruka Momose, et al.. (2025). Calboxyvinyl polymer adjuvant enhances respiratory IgA responses through mucosal and systemic administration. npj Vaccines. 10(1). 28–28. 1 indexed citations
2.
Suzuki, Fumiko, Jun‐ichi Maeyama, Satomi Horiguchi, et al.. (2023). Effect of cigarette smoke on mucosal vaccine response with activation of plasmacytoid dendritic cells: The outcomes of in vivo and in vitro experiments. Vaccine. 41(8). 1447–1456. 5 indexed citations
3.
Maeyama, Jun‐ichi, Hisakazu Takatsuka, Fumiko Suzuki, et al.. (2014). A Palindromic CpG-Containing Phosphodiester Oligodeoxynucleotide as a Mucosal Adjuvant Stimulates Plasmacytoid Dendritic Cell-Mediated TH1 Immunity. PLoS ONE. 9(2). e88846–e88846. 16 indexed citations
4.
Ochiai, Masaki, Akihiko Yamamoto, Seishiro Naito, et al.. (2010). Applicability of bacterial endotoxins test to various blood products by the use of endotoxin-specific lysates. Biologicals. 38(6). 629–636. 8 indexed citations
5.
Ichinohe, Takeshi, Akira Ainai, Tomoyuki Nakamura, et al.. (2009). Induction of cross‐protective immunity against influenza A virus H5N1 by an intranasal vaccine with extracts of mushroom mycelia. Journal of Medical Virology. 82(1). 128–137. 29 indexed citations
6.
Hamaguchi, Isao, Jun‐ichi Imai, Haruka Momose, et al.. (2008). Application of quantitative gene expression analysis for pertussis vaccine safety control. Vaccine. 26(36). 4686–4696. 14 indexed citations
7.
Isaka, Masanori, Yanqiu Zhao, Eri Nobusawa, et al.. (2008). Protective effect of nasal immunization of influenza virus hemagglutinin with recombinant cholera toxin B subunit as a mucosal adjuvant in mice. Microbiology and Immunology. 52(2). 55–63. 18 indexed citations
8.
Mizukami, Takuo, Jun‐ichi Imai, Isao Hamaguchi, et al.. (2008). Application of DNA microarray technology to influenza A/Vietnam/1194/2004 (H5N1) vaccine safety evaluation. Vaccine. 26(18). 2270–2283. 30 indexed citations
9.
Mizukami, Takuo, Atsuko Masumi, Haruka Momose, et al.. (2008). An improved abnormal toxicity test by using reference vaccine-specific body weight curves and histopathological data for monitoring vaccine quality and safety in Japan. Biologicals. 37(1). 8–17. 21 indexed citations
10.
11.
Hamaguchi, Isao, Junichi Imai, Haruka Momose, et al.. (2007). Two vaccine toxicity-related genes Agp and Hpx could prove useful for pertussis vaccine safety control. Vaccine. 25(17). 3355–3364. 17 indexed citations
15.
Isaka, Masanori, Yoko Yasuda, Tooru Taniguchi, et al.. (2003). Mucosal and systemic antibody responses against an acellular pertussis vaccine in mice after intranasal co-administration with recombinant cholera toxin B subunit as an adjuvant. Vaccine. 21(11-12). 1165–1173. 23 indexed citations
16.
Isaka, Masanori, Yoko Yasuda, Masashi Mizokami, et al.. (2001). Mucosal immunization against hepatitis B virus by intranasal co-administration of recombinant hepatitis B surface antigen and recombinant cholera toxin B subunit as an adjuvant. Vaccine. 19(11-12). 1460–1466. 69 indexed citations
17.
Goto, Norihisa, Jun‐ichi Maeyama, Yoko Yasuda, et al.. (2000). Safety evaluation of recombinant cholera toxin B subunit produced by Bacillus brevis as a mucosal adjuvant. Vaccine. 18(20). 2164–2171. 34 indexed citations
19.
Goto, Norihisa, Hiroshi Kato, Jun‐ichi Maeyama, et al.. (1997). Local tissue irritating effects and adjuvant activities of calcium phosphate and aluminium hydroxide with different physical properties. Vaccine. 15(12-13). 1364–1371. 107 indexed citations
20.
Yamakawa, Yoshio, Tamotsu Omori‐Satoh, & Jun‐ichi Maeyama. (1991). Primary Structures of Cytotoxic Factors Isolated from Habu (Trimeresurus flavoviridis) Venom. The Journal of Biochemistry. 109(5). 667–669. 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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