Jun Ikari

1.0k citations
49 papers · 775 · h-index 15

Impact in

    • Actinomycetales infections and treatment
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Respiratory Support and Mechanisms

Papers in

    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 13
    • Chronic Obstructive Pulmonary Disease (COPD) Research 9
    • Pulmonary Hypertension Research and Treatments 5
    • Respiratory Support and Mechanisms 4
    • Neonatal Respiratory Health Research 3

Jun Ikari

48 papers receiving 760 citations

Peers

Jun Ikari
Comparison fields: 5 of 91
  • Microbiology 43
  • Pulmonary and Respiratory Medicine 309
  • Immunology 109
  • Physiology 104
  • Small Animals 24
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Jun Ikari relative to Noritaka Isowa Japan Noritaka Isowa's profile →
Citations per field
00.5×2×4×6×8.7×
Noritaka Isowa · 1×
Citations per year

Countries citing papers authored by Jun Ikari

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ikari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 201172
3 201371
4 201645
5 201537
6 201627
7 201526
8 201722
9 201321
10 201720
11 201820
12 201419
13 201818
14 202016
15 202315
16 201115
17 201015
18 201815
19 202013
20 201713

About Jun Ikari

Jun Ikari is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Cancer Research, Rheumatology and Epidemiology, having authored 49 papers that have together received 775 indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Pulmonary Hypertension Research and Treatments (5 papers), Respiratory Support and Mechanisms (4 papers), Neonatal Respiratory Health Research (3 papers), Asthma and respiratory diseases (3 papers), Phosphodiesterase function and regulation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Microbiology (43 citations), Pulmonary and Respiratory Medicine (309 citations), Immunology (109 citations), Physiology (104 citations) and Small Animals (24 citations). Jun Ikari has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Koichiro Tatsumi, Stephen L. Rennard, Masaki Suzuki, Joel Michalski, Nozomi Tanaka, Naoko Kawata, Eiko Suzuki, Ayako Shimada, Mitsuhiro Abe and Yuji Tada. Their work appears in journals such as International Journal of COPD, PLoS ONE, American Journal of Respiratory Cell and Molecular Biology, International Journal of Cardiology and Drug Design Development and Therapy.

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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