Mitsutaka Wakuda

581 total citations
17 papers, 464 citations indexed

About

Mitsutaka Wakuda is a scholar working on Infectious Diseases, Animal Science and Zoology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mitsutaka Wakuda has authored 17 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 7 papers in Animal Science and Zoology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mitsutaka Wakuda's work include Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (7 papers) and Viral Infections and Immunology Research (4 papers). Mitsutaka Wakuda is often cited by papers focused on Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (7 papers) and Viral Infections and Immunology Research (4 papers). Mitsutaka Wakuda collaborates with scholars based in Japan, Thailand and United States. Mitsutaka Wakuda's co-authors include Koki Taniguchi, Yaowapa Pongsuwanna, Nobumichi Kobayashi, K. Taniguchi, Shigeo Nagashima, Ratigorn Guntapong, Ratana Tacharoenmuang, Mohammed I. Adah, Satoshi Komoto and Yoshimasa Maeno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Mitsutaka Wakuda

17 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsutaka Wakuda Japan 12 437 263 230 102 44 17 464
Luana da Silva Soares Brazil 16 534 1.2× 285 1.1× 248 1.1× 154 1.5× 41 0.9× 51 548
Wisoot Chan-it Japan 14 434 1.0× 282 1.1× 228 1.0× 85 0.8× 59 1.3× 18 455
Renáta Dóró Hungary 10 470 1.1× 283 1.1× 276 1.2× 175 1.7× 17 0.4× 11 483
Alexandra Scipioni Belgium 10 483 1.1× 208 0.8× 253 1.1× 55 0.5× 24 0.5× 14 518
Darleise de Souza Oliveira Brazil 18 625 1.4× 281 1.1× 280 1.2× 118 1.2× 47 1.1× 35 643
K.Y. Green United States 6 501 1.1× 254 1.0× 245 1.1× 57 0.6× 53 1.2× 6 512
H. Giraudon France 6 558 1.3× 249 0.9× 233 1.0× 123 1.2× 79 1.8× 8 585
Nobumichi Kobayashi Japan 12 406 0.9× 158 0.6× 235 1.0× 64 0.6× 58 1.3× 16 433
Khira Sdiri‐Loulizi Tunisia 17 687 1.6× 284 1.1× 311 1.4× 138 1.4× 96 2.2× 22 719
Mitsuaki Oseto Japan 10 295 0.7× 163 0.6× 125 0.5× 43 0.4× 44 1.0× 17 307

Countries citing papers authored by Mitsutaka Wakuda

Since Specialization
Citations

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

Fields of papers citing papers by Mitsutaka Wakuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsutaka Wakuda

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsutaka Wakuda. A scholar is included among the top collaborators of Mitsutaka Wakuda 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 Mitsutaka Wakuda. Mitsutaka Wakuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Sakurai, Aki, et al.. (2024). Clinical and genomic characteristics of IMP-producing Enterobacter cloacae complex and Klebsiella pneumoniae. Antimicrobial Agents and Chemotherapy. 68(5). e0167223–e0167223. 4 indexed citations
2.
Honda, Hitoshi, et al.. (2023). Resurgence of human coronavirus OC43 at a long-term care facility during the coronavirus disease 2019 (COVID-19) pandemic: Outbreak investigation. SHILAP Revista de lepidopterología. 3(1). e97–e97. 1 indexed citations
4.
Harada, Sohei, Masahiro Suzuki, Toshiharu Sasaki, et al.. (2021). Transmission of NDM-5-Producing and OXA-48-Producing Escherichia coli Sequence Type 648 by International Visitors without Previous Medical Exposure. Microbiology Spectrum. 9(3). e0182721–e0182721. 7 indexed citations
5.
Wakuda, Mitsutaka, Junnichi Ishii, Ikuya Tsuge, et al.. (2015). Emergence of Salmonella Strain That Produces IMP-1-Type Metallo-^|^beta;-Lactamase in a Japanese Patient. Japanese Journal of Infectious Diseases. 68(1). 75–76. 2 indexed citations
6.
Gotoh, Kensei, Naoko Nishimura, Shinji Kawabe, et al.. (2015). Pathophysiological analysis of five severe cases with rotavirus infection. JMM Case Reports. 2(5). 2 indexed citations
7.
Komoto, Satoshi, M. Manjur Shah, Erick Odoyo, et al.. (2014). Whole genomic analysis of human G12P[6] and G12P[8] rotavirus strains that have emerged in Kenya: Identification of porcine-like NSP4 genes. Infection Genetics and Evolution. 27. 277–293. 31 indexed citations
8.
Komoto, Satoshi, Yaowapa Pongsuwanna, Tomihiko Ide, et al.. (2014). Whole genomic analysis of porcine G10P[5] rotavirus strain P343 provides evidence for bovine-to-porcine interspecies transmission. Veterinary Microbiology. 174(3-4). 577–583. 15 indexed citations
9.
Wakuda, Mitsutaka. (2011). Porcine Rotavirus Closely Related to Novel Group of Human Rotaviruses. Emerging infectious diseases. 17(8). 1491–3. 49 indexed citations
10.
Komoto, Satoshi, Mitsutaka Wakuda, Tomihiko Ide, et al.. (2011). Modification of the trypsin cleavage site of rotavirus VP4 to a furin-sensitive form does not enhance replication efficiency. Journal of General Virology. 92(12). 2914–2921. 17 indexed citations
11.
Wakuda, Mitsutaka. (2011). Porcine Rotavirus Closely Related to Novel Group of Human Rotaviruses. Emerging infectious diseases. 31 indexed citations
12.
Kobayashi, Satoru, Yutaka Negishi, N Ando, et al.. (2010). Two patients with acute rotavirus encephalitis associated with cerebellar signs and symptoms. European Journal of Pediatrics. 169(10). 1287–1291. 23 indexed citations
13.
Wakuda, Mitsutaka, Yaowapa Pongsuwanna, & Koki Taniguchi. (2005). Complete nucleotide sequences of two RNA segments of human picobirnavirus. Journal of Virological Methods. 126(1-2). 165–169. 81 indexed citations
14.
Ahmed, Muzahed Uddin, Nobumichi Kobayashi, Mitsutaka Wakuda, et al.. (2003). Genetic analysis of group B human rotaviruses detected in Bangladesh in 2000 and 2001. Journal of Medical Virology. 72(1). 149–155. 40 indexed citations
15.
Adah, Mohammed I., Shigeo Nagashima, Mitsutaka Wakuda, & Koki Taniguchi. (2003). Close Relationship between G8-Serotype Bovine and Human Rotaviruses Isolated in Nigeria. Journal of Clinical Microbiology. 41(8). 3945–3950. 36 indexed citations
16.
Wakuda, Mitsutaka, Shigeo Nagashima, Nobumichi Kobayashi, Yaowapa Pongsuwanna, & K. Taniguchi. (2003). Serologic and Genomic Characterization of a G12 Human Rotavirus in Thailand. Journal of Clinical Microbiology. 41(12). 5764–5769. 19 indexed citations
17.
Pongsuwanna, Yaowapa, Ratigorn Guntapong, Ratana Tacharoenmuang, et al.. (2002). Detection of a Human Rotavirus with G12 and P[9] Specificity in Thailand. Journal of Clinical Microbiology. 40(4). 1390–1394. 94 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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