Muneyoshi Kimura

876 citations
40 papers · 491 · h-index 15

Impact in

    • Infections and bacterial resistance
    • Antifungal resistance and susceptibility
    • Antimicrobial Resistance in Staphylococcus

Papers in

Muneyoshi Kimura

37 papers receiving 477 citations

Peers

Muneyoshi Kimura
Comparison fields: 5 of 76
  • Endocrinology 98
  • Infectious Diseases 126
  • Molecular Medicine 31
  • Clinical Biochemistry 28
  • Gastroenterology 21
Replace Neusa P. Silva with:
Neusa P. Silva Brazil
Khalid Ahmed Al‐Anazi Saudi Arabia
Kim R. Simpfendorfer United States
P H Mackie United Kingdom
Hisashi FUNADA Japan
Shigeki Misawa Japan
Erkan Yula Türkiye
João Santos‐Antunes Portugal
S Hyde United Kingdom
E. M. Ayoub United States
Muneyoshi Kimura relative to Neusa P. Silva Brazil Neusa P. Silva's profile →
Citations per field
00.5×9.3×
Neusa P. Silva · 1×
Citations per year

Countries citing papers authored by Muneyoshi Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Muneyoshi Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201458
2 202339
3 201235
4 201234
5 200025
6 201724
7 202223
8 198822
9 200620
10 201820
11 201819
12 201017
13 201716
14 201815
15 202115
16 201414
17 201613
18 201412
19 20128
20 20208

About Muneyoshi Kimura

Muneyoshi Kimura is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Endocrinology and Surgery, having authored 40 papers that have together received 491 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (11 papers), Bacterial Identification and Susceptibility Testing (7 papers), Fungal Infections and Studies (6 papers), Infections and bacterial resistance (4 papers), Infectious Diseases and Mycology (4 papers), Neutropenia and Cancer Infections (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). The work is most often cited by research in Endocrinology (98 citations), Infectious Diseases (126 citations), Molecular Medicine (31 citations), Clinical Biochemistry (28 citations) and Gastroenterology (21 citations). Muneyoshi Kimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hideki Araoka, Akiko Yoneyama, Masahiro Abe, Chikako Okada, Sagar Kothari, Masaru Baba, Shuichi Taniguchi, Shahid Husain, Wajiha Gohir and José F. Camargo. Their work appears in journals such as Medical Mycology, Transplantation and Cellular Therapy, Journal of Clinical Microbiology, Open Forum Infectious Diseases and International Journal of Infectious Diseases.

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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