Hideyuki Fukuda

1.4k citations
32 papers · 1.1k indexed · h-index 17
Topics
Antibiotic Resistance in Bacteria (20 papers)Cancer therapeutics and mechanisms (18 papers)Antibiotics Pharmacokinetics and Efficacy (18 papers)

In The Last Decade

Hideyuki Fukuda

32 papers receiving 980 citations

Peers

Hideyuki Fukuda
Comparison fields: 5 of 88
  • Molecular Medicine 585
  • Pharmacology 526
  • Molecular Biology 451
  • Epidemiology 305
  • Infectious Diseases 168
Replace Raúl Goldschmidt with:
Raúl Goldschmidt United States
Masaya Takei Japan
M Bogaki Japan
Yoshikuni Onodera Japan
Peter Angehrn Switzerland
Roger Léger United States
Phaik‐Eng Sum United States
B Kolek United States
Ryuta Kishii United States
Xiao-Su Pan United Kingdom
Hideyuki Fukuda relative to Raúl Goldschmidt United States Raúl Goldschmidt's profile →
Citations per field
00.5×2.6×
Raúl Goldschmidt · 1×
Citations per year

Countries citing papers authored by Hideyuki Fukuda

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Fukuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Fukuda

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Fukuda. A scholar is included among the top collaborators of Hideyuki Fukuda 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 Hideyuki Fukuda. Hideyuki Fukuda 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
#WorkIndexed citations
1 3
2 14
3 8
4 63
5 4
6 3
7 144
8 34
9 54
10 44
11 7
12 6
13 18
14 5
15 2
16 65
17 20
18 44
19
[A specific protein inhibiting membrane permeation of chloramphenicol in Pseudomonas aeruginosa].
9
20 126

About Hideyuki Fukuda

Hideyuki Fukuda is a scholar working on Molecular Medicine, Pharmacology and Microbiology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Cancer therapeutics and mechanisms (18 papers) and Antibiotics Pharmacokinetics and Efficacy (18 papers). The work is most often cited by research in Molecular Medicine (585 citations), Pharmacology (526 citations) and Microbiology (86 citations). Hideyuki Fukuda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include M. Hosaka, Keiji Hirai, Masaya Takei, Keiichi Hiramatsu, Ryuta Kishii, Shizuko Iyobe, Tokutaro Yasue, Satoshi Hori, Keiichi Hiramatsu and Hiroshi Aoyama. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and The Journal of Urology.

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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