Tetsuo Nakayama

4.0k total citations
203 papers, 3.0k citations indexed

About

Tetsuo Nakayama is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Tetsuo Nakayama has authored 203 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Epidemiology, 58 papers in Infectious Diseases and 30 papers in Immunology. Recurrent topics in Tetsuo Nakayama's work include Virology and Viral Diseases (90 papers), Respiratory viral infections research (67 papers) and SARS-CoV-2 and COVID-19 Research (25 papers). Tetsuo Nakayama is often cited by papers focused on Virology and Viral Diseases (90 papers), Respiratory viral infections research (67 papers) and SARS-CoV-2 and COVID-19 Research (25 papers). Tetsuo Nakayama collaborates with scholars based in Japan, Germany and United States. Tetsuo Nakayama's co-authors include Motoko Fujino, Masahiro Sakaguchi, S Inouye, Chikara Aizawa, Takashi Urano, Naoko Yoshida, Hisashi Kawashima, Yasuyo Kashiwagi, Katsuhiro Komase and Toshiaki Ihara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Tetsuo Nakayama

192 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuo Nakayama Japan 30 1.8k 973 393 325 304 203 3.0k
Raffaele D’Amelio Italy 31 957 0.5× 603 0.6× 838 2.1× 587 1.8× 126 0.4× 138 3.6k
Johannes G. Liese Germany 35 2.5k 1.3× 811 0.8× 947 2.4× 335 1.0× 322 1.1× 133 4.3k
Bagher Forghani United States 34 2.9k 1.6× 1.0k 1.0× 469 1.2× 242 0.7× 257 0.8× 80 3.8k
Joseph B. Domachowske United States 43 3.7k 2.0× 1.4k 1.4× 1.5k 3.7× 596 1.8× 278 0.9× 172 6.0k
Thomas C. Heineman United States 31 3.2k 1.8× 586 0.6× 698 1.8× 285 0.9× 168 0.6× 71 3.9k
Richard L. Hodinka United States 36 1.8k 1.0× 1.5k 1.5× 321 0.8× 450 1.4× 84 0.3× 108 3.7k
Louis Fries United States 37 1.8k 1.0× 1.1k 1.1× 1.1k 2.7× 568 1.7× 122 0.4× 77 3.5k
Francisco Díaz‐Mitoma Canada 32 1.4k 0.8× 697 0.7× 1.1k 2.8× 584 1.8× 62 0.2× 138 3.4k
A. Salmi Finland 32 2.0k 1.1× 1.1k 1.1× 1.4k 3.6× 494 1.5× 89 0.3× 180 4.3k
H. C. Rümke Netherlands 27 1.8k 1.0× 398 0.4× 364 0.9× 126 0.4× 162 0.5× 60 2.4k

Countries citing papers authored by Tetsuo Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Nakayama

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Nakayama. A scholar is included among the top collaborators of Tetsuo Nakayama 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 Tetsuo Nakayama. Tetsuo Nakayama 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.
Furuichi, Munehiro, et al.. (2024). Live-attenuated vaccine failure after liver transplantation: A 20-year cohort study. Vaccine. 43(Pt 1). 126527–126527. 1 indexed citations
2.
Nakayama, Tetsuo, et al.. (2024). The efficacy and safety of a quadrivalent live attenuated influenza nasal vaccine in Japanese children: A phase 3, randomized, placebo-controlled study. Journal of Infection and Chemotherapy. 31(2). 102460–102460. 2 indexed citations
3.
Shinjoh, Masayoshi, et al.. (2024). Assessing clinical benefits of live-attenuated vaccination in post-liver transplant patients: Analysis of breakthrough infections and natural boosters. American Journal of Transplantation. 25(1). 189–197. 4 indexed citations
4.
5.
Yoshifuji, Ayumi, Tetsuo Nakayama, Setsuko Mise‐Omata, et al.. (2023). Cellular and Humoral Immune Responses after Breakthrough Infection in Patients Undergoing Hemodialysis. Vaccines. 11(7). 1214–1214. 3 indexed citations
6.
Nagao, Mizuho, Shigeru Suga, Kiyosu Taniguchi, et al.. (2022). High prevalence of IgE sensitization to inactivated influenza vaccines, yet robust IgG4 responses, in a healthy pediatric population. Influenza and Other Respiratory Viruses. 17(1). e13053–e13053. 2 indexed citations
7.
Furukawa, Seishi, et al.. (2020). Clinical chorioamnionitis criteria are not sufficient for predicting intra-amniotic infection. The Journal of Maternal-Fetal & Neonatal Medicine. 35(1). 52–57. 10 indexed citations
8.
Yunomae, Kiyokazu, et al.. (2017). Immunogenicity of recombinant measles vaccine expressing fusion protein of respiratory syncytial virus in cynomolgus monkeys. Microbiology and Immunology. 62(2). 132–136. 4 indexed citations
9.
Nakayama, Tetsuo. (2016). An inflammatory response is essential for the development of adaptive immunity-immunogenicity and immunotoxicity. Vaccine. 34(47). 5815–5818. 41 indexed citations
10.
Nakayama, Tetsuo, et al.. (2016). Experimental animal model for analyzing immunobiological responses following vaccination with formalin‐inactivated respiratory syncytial virus. Microbiology and Immunology. 60(4). 234–242. 15 indexed citations
11.
Ito, Takashi, et al.. (2016). Cell fusion assay by expression of respiratory syncytial virus (RSV) fusion protein to analyze the mutation of palivizumab-resistant strains. Journal of Virological Methods. 231. 48–55. 5 indexed citations
12.
Kumagai, Takuji, Tetsuo Nakayama, Yoshinobu Okuno, et al.. (2014). Humoral Immune Response to Influenza A(H1N1)pdm2009 in Patients with Natural Infection and in Vaccine Recipients in the 2009 Pandemic. Viral Immunology. 27(8). 368–374. 6 indexed citations
13.
Le, Giang H., et al.. (2013). High immunogenicity of measles AIK-C vaccine produced in Vietnam. DergiPark (Istanbul University). 4 indexed citations
14.
Yakura, Keiko, et al.. (2013). A case of fulminant comeal endotheliitis without parotitis suspected of mumps virus infection. 67(7). 1143–1147. 1 indexed citations
15.
Kuroiwa, Yuki, et al.. (2005). A phylogenetic study of human respiratory syncytial viruses group A and B strains isolated in two cities in Japan from 1980–2002. Journal of Medical Virology. 76(2). 241–247. 33 indexed citations
16.
Fujieda, Mikiya, Keishi Naruse, Tetsuo Nakayama, et al.. (2000). MUMPS ASSOCIATED WITH IMMUNOGLOBULIN A NEPHROPATHY. The Pediatric Infectious Disease Journal. 19(7). 669–671. 2 indexed citations
17.
Sakai, Yasuo, et al.. (1998). Non-antigenic and Low Allergic Gelatin Produced by Specific Digestion with an Enzyme-Coupled Matrix.. Biological and Pharmaceutical Bulletin. 21(4). 330–334. 35 indexed citations
18.
Nakayama, Tetsuo, et al.. (1989). Outbreak of herpangina associated with coxsackievirus B3 infection. The Pediatric Infectious Disease Journal. 8(8). 495–498. 17 indexed citations
19.
Nakayama, Tetsuo, et al.. (1977). . NIPPON KAGAKU KAISHI. 1175–1180.
20.
Nakayama, Tetsuo, et al.. (1977). . NIPPON KAGAKU KAISHI. 250–257.

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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