Jun Miyata

1.7k citations
63 papers · 1.2k · h-index 16

Impact in

  • Immunology top 5%
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
  • Physiology top 5%
    • Asthma and respiratory diseases

Papers in

Jun Miyata

60 papers receiving 1.2k citations

Peers

Jun Miyata
Comparison fields: 5 of 99
  • Immunology 442
  • Physiology 518
  • Immunology and Allergy 114
  • Nutrition and Dietetics 240
  • Biochemistry 110
Replace Takumi Kiwamoto with:
Takumi Kiwamoto Japan
Mitsuyoshi Utsugi Japan
Antonio Pereira Vega Spain
Huahao Shen China
John V. Collins United Kingdom
Bo‐Ram Bang United States
Shamsah Kazani United States
Kaoru Hamada Japan
Art J. Heires United States
Wojciech Piotrowski Poland
Jun Miyata relative to Takumi Kiwamoto Japan Takumi Kiwamoto's profile →
Citations per field
00.5×4.8×
Takumi Kiwamoto · 1×
Citations per year

Countries citing papers authored by Jun Miyata

Since Specialization
Citations

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

Fields of papers citing papers by Jun Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013271
2 2014175
3 2012108
4 201961
5 201243
6 198640
7 201239
8 201235
9 201930
10 201428
11 202123
12 201022
13 201720
14 202017
15 201817
16 201916
17 202213
18 201313
19 202113
20
198413

About Jun Miyata

Jun Miyata is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Immunology, Surgery and Immunology and Allergy, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (30 papers), Allergic Rhinitis and Sensitization (9 papers), Respiratory and Cough-Related Research (8 papers), Pediatric health and respiratory diseases (7 papers), IL-33, ST2, and ILC Pathways (7 papers), Eosinophilic Esophagitis (7 papers), Fatty Acid Research and Health (6 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers). The work is most often cited by research in Immunology (442 citations), Physiology (518 citations), Immunology and Allergy (114 citations), Nutrition and Dietetics (240 citations) and Biochemistry (110 citations). Jun Miyata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Makoto Arita, Koichi Fukunaga, Koichiro Asano, Tomoko Betsuyaku, Yusuke Suzuki, Hiroki Kabata, Katsunori Masaki, Kazuyo Moro, Shigeo Koyasu and Yusuke Kawashima. Their work appears in journals such as Allergology International, Frontiers in Immunology, Allergy, Journal of Allergy and Clinical Immunology and COPD Journal of Chronic Obstructive Pulmonary Disease.

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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