Jun-ichi Wachino

1.9k citations
24 papers · 1.4k indexed · h-index 19
Topics
Antibiotic Resistance in Bacteria (23 papers)Pharmaceutical and Antibiotic Environmental Impacts (8 papers)Antibiotics Pharmacokinetics and Efficacy (7 papers)
Partner nations
JapanUnited States

In The Last Decade

Jun-ichi Wachino

24 papers receiving 1.4k citations

Peers

Jun-ichi Wachino
Comparison fields: 5 of 69
  • Molecular Medicine 1.2k
  • Endocrinology 519
  • Molecular Biology 346
  • Epidemiology 331
  • Pollution 322
Replace H. Dhanji with:
H. Dhanji United Kingdom
Zhihui Zhou China
Hedi Mammeri France
Michael Hornsey United Kingdom
Paula Espinal Spain
Antonio Cannatelli Italy
Anna Baraniak Poland
Basil Britto Xavier Belgium
Qinglan Guo China
Frank Hansen Denmark
Jun-ichi Wachino relative to H. Dhanji United Kingdom H. Dhanji's profile →
Citations per field
00.5×1.5×2.5×
H. Dhanji · 1×
Citations per year

Countries citing papers authored by Jun-ichi Wachino

Since Specialization
Citations

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

Fields of papers citing papers by Jun-ichi Wachino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-ichi Wachino. 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 Jun-ichi Wachino. The network helps show where Jun-ichi Wachino may publish in the future.

Co-authorship network of co-authors of Jun-ichi Wachino

This figure shows the co-authorship network connecting the top 25 collaborators of Jun-ichi Wachino. A scholar is included among the top collaborators of Jun-ichi Wachino 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 Jun-ichi Wachino. Jun-ichi Wachino 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 50
2 38
3 25
4 33
5 15
6 252
7 22
8 36
9 15
10 5
11 44
12 22
13 8
14 55
15 155
16 77
17 111
18 90
19 40
20 54

About Jun-ichi Wachino

Jun-ichi Wachino is a scholar working on Molecular Medicine, Microbiology and Endocrinology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (23 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers) and Antibiotics Pharmacokinetics and Efficacy (7 papers). The work is most often cited by research in Molecular Medicine (1.2k citations), Endocrinology (519 citations) and Applied Microbiology and Biotechnology (104 citations). Jun-ichi Wachino has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshichika Arakawa, Yohei Doi, Kunikazu Yamane, Naohiro Shibata, Satowa Suzuki, Hiroshi Kurokawa, Keigo Shibayama, Tetsuya Yagi, Y. Arakawa and Kouji Kimura. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

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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