F Taguchi

34 papers receiving 1.2k citations

Peers

F Taguchi
Comparison fields: 5 of 82
  • Oncology 899
  • Infectious Diseases 177
  • Aerospace Engineering 232
  • Electrical and Electronic Engineering 529
  • Animal Science and Zoology 69
Replace Mohammadreza Sadeghi with:
Mohammadreza Sadeghi Finland
Lichen Jing United States
Takashi Kimura Japan
Kimberly D. Erickson United States
Simone Giannecchini Italy
Joshua O. Marshak United States
Joy Martinez United States
Joanna M. Gilbert United States
Christine A. Schneider United States
J. A. Morris United States
F Taguchi relative to Mohammadreza Sadeghi Finland Mohammadreza Sadeghi's profile →
Citations per field
00.5×4.2×
Mohammadreza Sadeghi · 1×
Citations per year

Countries citing papers authored by F Taguchi

Since Specialization
Citations

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

Fields of papers citing papers by F Taguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F Taguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F Taguchi Line = papers co-authored together F Taguchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990289
2 1995119
3 1965114
4 199787
5 199175
6 199174
7 199670
8 199365
9 198958
10 199151
11 199529
12 199126
13 198822
14 197921
15 198619
16 200416
17 199014
18
T lymphocyte-dependent difference in susceptibility between DDD and C3H mice to mouse hepatitis virus, MHV-3.
197913
19 199711
20
Hemorrhagic cystitis after bone marrow transplantation: importance of a thin sectioning technique on urinary sediments for diagnosis.
199111

About F Taguchi

F Taguchi is a scholar working on Oncology, Epidemiology, Infectious Diseases, Molecular Biology and Electrical and Electronic Engineering, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (14 papers), Full-Duplex Wireless Communications (7 papers), Parvovirus B19 Infection Studies (5 papers), Animal Virus Infections Studies (5 papers), Antenna Design and Analysis (4 papers), Streptococcal Infections and Treatments (3 papers), Hepatitis B Virus Studies (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Oncology (899 citations), Infectious Diseases (177 citations), Aerospace Engineering (232 citations), Electrical and Electronic Engineering (529 citations) and Animal Science and Zoology (69 citations). F Taguchi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yoshiaki Yogo, Tadaichi Kitamura, Chie Sugimoto, Yoshio Aso, K. Kawabe, Toshiyuki Ueki, Konan Hara, Takako Iida, Vittorio Defendi and Jianfeng Guo. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Virology, Archives of Virology, Journal of Medical Microbiology and Proceedings of the National Academy of Sciences.

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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