Atsushi Uda

486 citations
26 papers · 304 · h-index 11

Impact in

Papers in

Atsushi Uda

24 papers receiving 301 citations

Peers

Atsushi Uda
Comparison fields: 5 of 76
  • Applied Microbiology and Biotechnology 45
  • Geriatrics and Gerontology 50
  • Molecular Medicine 22
  • Family Practice 6
  • Clinical Biochemistry 19
Replace Chunhong Zhang with:
Chunhong Zhang China
Szu-Han Chen Taiwan
Prabha Nepal Japan
Maria Tricarico Italy
Mohammed A. Sayed Egypt
Ana Oliveira Brazil
Lorena Ávila-Carrasco Mexico
Yu Qin Wang China
Hee Jong Jeong South Korea
Kiyofumi Oya Japan
Atsushi Uda relative to Chunhong Zhang China Chunhong Zhang's profile →
Citations per field
00.5×6.3×
Chunhong Zhang · 1×
Citations per year

Countries citing papers authored by Atsushi Uda

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Uda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200655
2 201639
3 201427
4 201518
5 202117
6 202016
7 201913
8 202113
9 201713
10 201311
11 201911
12 202210
13 20217
14 20217
15 20197
16 20226
17 20196
18 20235
19 20185
20 20165

About Atsushi Uda

Atsushi Uda is a scholar working on Pharmacology, Molecular Biology, Epidemiology, Clinical Biochemistry and Pharmacology, having authored 26 papers that have together received 304 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (5 papers), Pharmacy and Medical Practices (4 papers), Antibiotic Use and Resistance (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Urinary Tract Infections Management (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (45 citations), Geriatrics and Gerontology (50 citations), Molecular Medicine (22 citations), Family Practice (6 citations) and Clinical Biochemistry (19 citations). Atsushi Uda has collaborated with scholars based in Japan, Indonesia and Taiwan. Frequent co-authors include Ikuko Yano, Kazuhiro Yamamoto, Tatsuya Nishioka, Takayuki Miyara, Midori Hirai, Takeshi Kimura, Manabu Kume, Hiroo Makimoto, Katsumi Shigemura and Kayo Osawa. Their work appears in journals such as Antibiotics, Biochemical and Biophysical Research Communications, Infection, International Journal of Urology and BMC Oral Health.

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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