Yoshihiro Kobashi

3.0k citations
159 papers · 2.2k indexed · h-index 25

Yoshihiro Kobashi

150 papers receiving 2.2k citations

Peers

Yoshihiro Kobashi
Comparison fields: 5 of 102
  • Microbiology 66
  • Infectious Diseases 1.2k
  • Small Animals 406
  • Epidemiology 1.7k
  • Microbiology 172
Replace Garth Dixon with:
Garth Dixon United Kingdom
Peter Phillips Canada
Byung Woo Jhun South Korea
Naoyuki Miyashita Japan
Alan M. Stamm United States
Asim K. Dutt United States
H. Mauch Germany
Temple W. Williams United States
Davood Mansouri Iran
Julie Toubiana France
Yoshihiro Kobashi relative to Garth Dixon United Kingdom Garth Dixon's profile →
Citations per field
00.5×3.5×
Garth Dixon · 1×
Citations per year

Countries citing papers authored by Yoshihiro Kobashi

Since Specialization
Citations

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

Fields of papers citing papers by Yoshihiro Kobashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20199
2 20158
3 201316
4 2012131
5 200965
6 200924
7 200820
8 20072
9 200669
10 200646
11 20067
12
Japanese guidelines for the management of community-acquired pneumonia : is it possible to distinguish between mycoplasmal pneumonia and bacterial pneumonia?
20041
13 20039
14 20001
15 19990
16 19992
17
[Adverse reactions of antituberculous agents].
19985
18 19980
19 19971
20
Membranous Fibrosis of the Lung
19901

About Yoshihiro Kobashi

Yoshihiro Kobashi is a scholar working on Microbiology, Infectious Diseases and Small Animals, having authored 159 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (66 papers), Mycobacterium research and diagnosis (65 papers), Infectious Diseases and Tuberculosis (30 papers), Infectious Diseases and Mycology (26 papers), Diagnosis and treatment of tuberculosis (20 papers), Pneumonia and Respiratory Infections (19 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers) and Pneumocystis jirovecii pneumonia detection and treatment (12 papers). The work is most often cited by research in Microbiology (66 citations), Infectious Diseases (1.2k citations) and Small Animals (406 citations). Yoshihiro Kobashi has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Mikio Oka, Toshiharu Matsushima, Yasushi Obase, Naoyuki Miyashita, Keiji Mouri, Naoyuki Miyashita, Minoru Fukuda, Yoshihito Niki, Kouichiro Yoshida and Niro Okimoto.

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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