Jun Irita

939 citations
32 papers · 784 · h-index 16

Impact in

Papers in

Jun Irita

31 papers receiving 758 citations

Peers

Jun Irita
Comparison fields: 5 of 68
  • Nephrology 172
  • Cardiology and Cardiovascular Medicine 233
  • Endocrinology, Diabetes and Metabolism 124
  • Rheumatology 105
  • Pulmonary and Respiratory Medicine 117
Replace Miroslav Souček with:
Miroslav Souček Czechia
Francesco Vaccaro Italy
Marie Frimodt‐Møller Denmark
Koichiro Fujisue Japan
Sofia Miceli Italy
Takehiko Miyashita Japan
Atsunori Kuwabara Japan
Junya Jia China
Midori Hasegawa Japan
Steen Nielsen Denmark
Jun Irita relative to Miroslav Souček Czechia Miroslav Souček's profile →
Citations per field
00.5×1.5×2.0×
Miroslav Souček · 1×
Citations per year

Countries citing papers authored by Jun Irita

Since Specialization
Citations

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

Fields of papers citing papers by Jun Irita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007143
2 201077
3 200964
4 201160
5 201451
6 200645
7 200642
8 200640
9 200736
10 201027
11 201022
12 199921
13 201219
14 200819
15 200618
16 201016
17 200814
18 201012
19 200511
20 20149

About Jun Irita

Jun Irita is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Rheumatology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 784 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (8 papers), Blood Pressure and Hypertension Studies (7 papers), Vitamin D Research Studies (5 papers), Bone and Dental Protein Studies (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Hormonal Regulation and Hypertension (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers) and Renal and Vascular Pathologies (4 papers). The work is most often cited by research in Nephrology (172 citations), Cardiology and Cardiovascular Medicine (233 citations), Endocrinology, Diabetes and Metabolism (124 citations), Rheumatology (105 citations) and Pulmonary and Respiratory Medicine (117 citations). Jun Irita has collaborated with scholars based in Japan and United States. Frequent co-authors include Jitsuo Higaki, Takafumi Okura, Ken‐ichi Miyoshi, Mie Kurata, Daijiro Enomoto, Tomikazu Fukuoka, Seiko Manabe, Tomoaki Nagao, Sanae Watanabe and Zuowei Pei. Their work appears in journals such as Clinical and Experimental Hypertension, Clinical Therapeutics, American Journal of Hypertension, Scientific Reports and Journal of Nephrology.

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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