Naohiro Shibata

4.6k citations
51 papers · 3.5k indexed · h-index 30
Topics
Antibiotic Resistance in Bacteria (35 papers)Antibiotics Pharmacokinetics and Efficacy (14 papers)Pharmaceutical and Antibiotic Environmental Impacts (9 papers)
Partner nations
JapanFranceUnited States

In The Last Decade

Naohiro Shibata

51 papers receiving 3.4k citations

Peers

Naohiro Shibata
Comparison fields: 5 of 92
  • Molecular Medicine 2.8k
  • Endocrinology 1.2k
  • Molecular Biology 958
  • Epidemiology 795
  • Pollution 690
Replace Y. Arakawa with:
Y. Arakawa Japan
Kunikazu Yamane Japan
Sebastian G. B. Amyes United Kingdom
Mary E. Kaufmann United Kingdom
Il Kwon Bae South Korea
José Manuel Rodríguez-Martínez Spain
D. Sirot France
Alejandro Beceiro Spain
Marco Maria D’Andrea Italy
S. G. B. Amyes United Kingdom
Naohiro Shibata relative to Y. Arakawa Japan Y. Arakawa's profile →
Citations per field
00.5×1.5×
Y. Arakawa · 1×
Citations per year

Countries citing papers authored by Naohiro Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Naohiro Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naohiro Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of Naohiro Shibata. A scholar is included among the top collaborators of Naohiro Shibata 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 Naohiro Shibata. Naohiro Shibata 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 39
2 11
3 155
4 12
5 53
6 132
7 369
8 41
9 3
10 6
11 86
12 44
13 171
14 77
15 5
16 75
17 6
18 4
19 149
20 26

About Naohiro Shibata

Naohiro Shibata is a scholar working on Molecular Medicine, Endocrinology and Pharmacology, having authored 51 papers that have together received 3.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (35 papers), Antibiotics Pharmacokinetics and Efficacy (14 papers) and Pharmaceutical and Antibiotic Environmental Impacts (9 papers). The work is most often cited by research in Molecular Medicine (2.8k citations), Endocrinology (1.2k citations) and Applied Microbiology and Biotechnology (292 citations). Naohiro Shibata has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Yoshichika Arakawa, Keigo Shibayama, Kunikazu Yamane, Hiroshi Kurokawa, Tetsuya Yagi, Yohei Doi, Haru Kato, Satowa Suzuki, Jun‐ichi Wachino and Kouji Kimura. Their work appears in journals such as The Lancet, Journal of Clinical Microbiology and Journal of Medicinal Chemistry.

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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