Makito Yaegashi

1.0k citations
30 papers · 722 indexed · h-index 14
Topics
Pneumonia and Respiratory Infections (17 papers)Respiratory viral infections research (9 papers)Pneumocystis jirovecii pneumonia detection and treatment (7 papers)

In The Last Decade

Makito Yaegashi

29 papers receiving 707 citations

Peers

Makito Yaegashi
Comparison fields: 5 of 87
  • Epidemiology 455
  • Pulmonary and Respiratory Medicine 123
  • Microbiology 88
  • Infectious Diseases 79
  • Surgery 72
Replace Delfino Legnani with:
Delfino Legnani Italy
Noel Karalus New Zealand
Fernando M. de Benedictis Italy
Tsuneaki Kenzaka Japan
Jonathan E. Bennett United States
Elisabetta Venturini Italy
Rachel Bittner United States
Rafael Blanquer Spain
Erdal İnce Türkiye
Casper S. de Graaff Netherlands
Makito Yaegashi relative to Delfino Legnani Italy Delfino Legnani's profile →
Citations per field
00.5×6.3×
Delfino Legnani · 1×
Citations per year

Countries citing papers authored by Makito Yaegashi

Since Specialization
Citations

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

Fields of papers citing papers by Makito Yaegashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makito Yaegashi

This figure shows the co-authorship network connecting the top 25 collaborators of Makito Yaegashi. A scholar is included among the top collaborators of Makito Yaegashi 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 Makito Yaegashi. Makito Yaegashi 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 2
2 4
3 11
4 13
5 13
6 10
7 26
8 12
9 15
10 6
11 134
12 155
13 3
14 1
15 26
16 14
17 1
18 16
19 18
20 26

About Makito Yaegashi

Makito Yaegashi is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology and Parasitology, having authored 30 papers that have together received 722 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (17 papers), Respiratory viral infections research (9 papers) and Pneumocystis jirovecii pneumonia detection and treatment (7 papers). The work is most often cited by research in Microbiology (88 citations), Epidemiology (455 citations) and Critical Care and Intensive Care Medicine (50 citations). Makito Yaegashi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Konosuke Morimoto, Motoi Suzuki, Masahiro Aoshima, Koya Ariyoshi, Norichika Asoh, Tomoko Ishifuji, Masahiko Abe, Naohisa Hamashige, Masayuki Ishida and R Jean. Their work appears in journals such as PLoS ONE, CHEST Journal and European Respiratory Journal.

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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