Hideaki Taguchi

1.1k total citations
59 papers, 882 citations indexed

About

Hideaki Taguchi is a scholar working on Infectious Diseases, Epidemiology and Plant Science. According to data from OpenAlex, Hideaki Taguchi has authored 59 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Infectious Diseases, 26 papers in Epidemiology and 17 papers in Plant Science. Recurrent topics in Hideaki Taguchi's work include Antifungal resistance and susceptibility (32 papers), Fungal Infections and Studies (22 papers) and Plant Pathogens and Fungal Diseases (15 papers). Hideaki Taguchi is often cited by papers focused on Antifungal resistance and susceptibility (32 papers), Fungal Infections and Studies (22 papers) and Plant Pathogens and Fungal Diseases (15 papers). Hideaki Taguchi collaborates with scholars based in Japan, Brazil and China. Hideaki Taguchi's co-authors include Kazuko Nishimura, Makoto Miyaji, Reiko Tanaka, Katsuhiko Kamei, Aki Igarashi, Ying Gao, Masayoshi Yamaguchi, Yoshinori Tsukamoto, Kanji Takeo and Maria Luíza Moretti and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Biochemical and Biophysical Research Communications.

In The Last Decade

Hideaki Taguchi

55 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideaki Taguchi Japan 17 403 402 261 180 145 59 882
Márcia R. Pinto Brazil 17 428 1.1× 351 0.9× 131 0.5× 165 0.9× 207 1.4× 29 817
Erick Martínez‐Herrera Mexico 18 390 1.0× 476 1.2× 226 0.9× 91 0.5× 97 0.7× 69 876
Richard Hector United States 9 555 1.4× 532 1.3× 93 0.4× 103 0.6× 231 1.6× 15 1.1k
Andrew T. Nishimoto United States 15 878 2.2× 623 1.5× 59 0.2× 124 0.7× 256 1.8× 20 1.4k
Maojun Liu China 20 119 0.3× 247 0.6× 68 0.3× 134 0.7× 216 1.5× 79 1.1k
R Guinet France 14 409 1.0× 302 0.8× 143 0.5× 84 0.5× 222 1.5× 62 749
Sonja De Nollin Belgium 14 221 0.5× 105 0.3× 52 0.2× 137 0.8× 149 1.0× 23 738
Jorge Amich United Kingdom 18 412 1.0× 262 0.7× 83 0.3× 322 1.8× 248 1.7× 37 884
Kyla S. Ost United States 11 207 0.5× 232 0.6× 37 0.1× 110 0.6× 338 2.3× 15 634
O. S. KINSMAN United Kingdom 13 341 0.8× 196 0.5× 39 0.1× 122 0.7× 262 1.8× 25 631

Countries citing papers authored by Hideaki Taguchi

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Taguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Taguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Taguchi. A scholar is included among the top collaborators of Hideaki Taguchi 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 Hideaki Taguchi. Hideaki Taguchi 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
2.
Moretti, Maria Luíza, Ariane F. Busso‐Lopes, Cibele Aparecida Tararam, et al.. (2018). Airborne transmission of invasive fusariosis in patients with hematologic malignancies. PLoS ONE. 13(4). e0196426–e0196426. 36 indexed citations
3.
Zhu, Jian, Yingqian Kang, Jun Uno, et al.. (2009). Comparison of Genotypes Between Environmental and Clinical Isolates of Cryptococcus neoformans var. grubii Based on Microsatellite Patterns. Mycopathologia. 169(1). 47–55. 9 indexed citations
4.
Moretti, Maria Luíza, et al.. (2007). Evaluation of the inhibitory effect of amphotericin B on the apical growth of F. solani using the BioCell‐Tracer® System. Mycoses. 50(3). 183–188. 5 indexed citations
5.
Togitani, Kazuto, Makoto Kobayashi, Yoshiki Uemura, et al.. (2007). Ethmoidal sinusitis caused by Exserohilum rostratum in a patient with malignant lymphoma after non‐myeloablative allogeneic peripheral blood stem cell transplantation. Transplant Infectious Disease. 9(2). 137–141. 9 indexed citations
6.
Park, Bong Joo, Jong‐Chul Park, Hideaki Taguchi, et al.. (2006). Antifungal susceptibility of epigallocatechin 3-O-gallate (EGCg) on clinical isolates of pathogenic yeasts. Biochemical and Biophysical Research Communications. 347(2). 401–405. 52 indexed citations
8.
Ito, Kazuyuki, et al.. (2004). A study of reinforcement learning with knowledge sharing. Okayama University Scientific Achievement Repository (Okayama University). 175–180. 1 indexed citations
9.
Taguchi, Hideaki, Makoto Miyaji, & Takashi Yoshida. (2000). Evaluation of Miconazole Activity Contained in Human Serum to Hypha of Aspergillus fumigatus.. Nippon Ishinkin Gakkai Zasshi. 41(1). 41–44. 3 indexed citations
10.
Yoshioka, Fumio, et al.. (2000). Development and introduction of a high-rate anaerobic process for brewery wastewater treatment. 37(3). 371–375.
11.
Imai, Takayuki, Reiko Tanaka, Yoshinori Mikami, et al.. (1999). New PCR primer pairs specific for Cryptococcus neoformans serotype A or B prepared on the basis of random amplified polymorphic DNA fingerprint pattern analyses. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 6 indexed citations
12.
Taguchi, Hideaki, et al.. (1999). Study on the hyphal responses of Aspergillus fumigatus. Mycopathologia. 148(1). 17–23. 6 indexed citations
14.
Amitani, Ryoichi, Katsuji Nishimura, Akio Niimi, et al.. (1996). Bronchial Mucoid Impaction Due to the Monokaryotic Mycelium of Schizophyllum commune. Clinical Infectious Diseases. 22(1). 146–148. 46 indexed citations
15.
Takeo, Kanji, Reiko Tanaka, Hideaki Taguchi, & Kazuko Nishimura. (1993). Analysis of ploidy and sexual characteristics of natural isolates of Cryptococcus neoformans. Canadian Journal of Microbiology. 39(10). 958–963. 25 indexed citations
16.
Koike, Junpei, Tatsuya Oshima, K Koike, et al.. (1992). Survival rates of some terrestrial microorganisms under simulated space conditions. Advances in Space Research. 12(4). 271–274. 29 indexed citations
17.
Taguchi, Hideaki, et al.. (1992). Studies on the Effect of Combination of Amphotericin B and Flucytosine on Candida albicans by Flow Cytometry. Kansenshogaku zasshi. 66(4). 516–521. 2 indexed citations
18.
Taguchi, Hideaki, Reiko Tanaka, Kazuko Nishimura, & Makoto Miyaji. (1988). Application of flow cytometry to differentiating Exophiala dermatitidis E. moniliae and E. jeanselmei from each other. Mycopathologia. 103(2). 87–90. 8 indexed citations
19.
Suzuki, Hiroshi, et al.. (1988). Studies on detection of Candida antigen in the sera of mice inoculated orally with Candida albicans. Mycopathologia. 104(1). 7–17. 9 indexed citations
20.
Suzuki, Hiroshi, et al.. (1986). Detection of Serum Candida Antigen by an Enzyme-Linked Immunosorbent Assay with Avidin-Biotin System. Kansenshogaku zasshi. 60(4). 336–344. 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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