Ken‐ichiro Iida

23 papers receiving 649 citations

Peers

Ken‐ichiro Iida
Comparison fields: 5 of 92
  • Endocrinology 114
  • Periodontics 50
  • Microbiology 66
  • Parasitology 54
  • Infectious Diseases 116
Replace E. Pilipčinec with:
E. Pilipčinec Slovakia
Caroline Michelle France
F Galdiero Italy
A. Kovacs-Simon United Kingdom
Sujata S. Chaudhari United States
Felipe Luiz Pereira Brazil
Dae-Gon Ha United States
Manuel R. Gonzalez Switzerland
D.E. Thompson United Kingdom
Philip Mabon Canada
Ken‐ichiro Iida relative to E. Pilipčinec Slovakia E. Pilipčinec's profile →
Citations per field
00.5×1.5×2.4×
E. Pilipčinec · 1×
Citations per year

Countries citing papers authored by Ken‐ichiro Iida

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐ichiro Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichiro Iida. 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 Ken‐ichiro Iida. The network helps show where Ken‐ichiro Iida may publish in the future.

Co-authors

The 25 scholars most cited alongside Ken‐ichiro Iida, 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 Ken‐ichiro Iida Line = papers co-authored together Ken‐ichiro Iida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200488
2 200883
3 200476
4 200774
5 199570
6 200763
7 200847
8 201242
9 201826
10 200123
11 200520
12 20078
13 20078
14 20066
15 20156
16 20105
17 20164
18 20094
19 20124
20
[Physiological significance of H2O2 production in Streptococci].
20102

About Ken‐ichiro Iida

Ken‐ichiro Iida is a scholar working on Endocrinology, Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health and Ecology, having authored 23 papers that have together received 662 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (5 papers), Genomics and Phylogenetic Studies (3 papers), Bacterial Genetics and Biotechnology (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Legionella and Acanthamoeba research (3 papers), Bacteriophages and microbial interactions (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers) and Leptospirosis research and findings (2 papers). The work is most often cited by research in Endocrinology (114 citations), Periodontics (50 citations), Microbiology (66 citations), Parasitology (54 citations) and Infectious Diseases (116 citations). Ken‐ichiro Iida has collaborated with scholars based in Japan, Switzerland and Philippines. Frequent co-authors include Shin�ichi Yoshida, Masanori SEKI, Mitsumasa Saito, Hiroaki Nakayama, Hiroaki Taniai, Akemi Takade, Tian Qin, Takashi Soejima, Hiroyuki Sugiyama and Reiko Minakami. Their work appears in journals such as Microbial Pathogenesis, Journal of Bacteriology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Journal of Clinical Microbiology and Archives of Microbiology.

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.

Explore authors with similar magnitude of impact