Jun Nawata

947 citations
23 papers · 745 · h-index 12

Impact in

Papers in

Jun Nawata

23 papers receiving 731 citations

Peers

Jun Nawata
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 389
  • Pulmonary and Respiratory Medicine 437
  • Genetics 63
  • Hepatology 31
  • Physiology 97
Replace Ekaterina Legchenko with:
Ekaterina Legchenko Germany
Argen Mamazhakypov Germany
Niki Penner United States
Diana M. Tabima United States
Akihiko Karibe Japan
Malcolm Robb Canada
Hitoshi Horimoto Japan
Hiroki Fukuda Japan
Minoru Takaoka Japan
Hiroko Uesugi Japan
Jun Nawata relative to Ekaterina Legchenko Germany Ekaterina Legchenko's profile →
Citations per field
00.5×6.4×
Ekaterina Legchenko · 1×
Citations per year

Countries citing papers authored by Jun Nawata

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nawata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005205
2 2009124
3 2010120
4 200849
5 200334
6 200728
7 200727
8 200422
9 200920
10 200117
11 200814
12 199911
13 200211
14 200710
15 200810
16 20108
17 19997
18 20096
19 19985
20 20055

About Jun Nawata

Jun Nawata is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Physiology, Molecular Biology and Genetics, having authored 23 papers that have together received 745 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (11 papers), Cardiovascular Function and Risk Factors (8 papers), Nitric Oxide and Endothelin Effects (5 papers), Cardiovascular Issues in Pregnancy (5 papers), Adipose Tissue and Metabolism (3 papers), Vascular Anomalies and Treatments (3 papers), Cell Adhesion Molecules Research (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (389 citations), Pulmonary and Respiratory Medicine (437 citations), Genetics (63 citations), Hepatology (31 citations) and Physiology (97 citations). Jun Nawata has collaborated with scholars based in Japan and Ireland. Frequent co-authors include Jun Demachi, Hiroaki Shimokawa, Yoshihiro Fukumoto, Kunio Shirato, Jun Suzuki, K Saji, Masahito Sakuma, Yutaka Kagaya, Tohru Takahashi and Hiroshi Fujita. Their work appears in journals such as Circulation Journal, Journal of Cardiovascular Pharmacology, Cardiovascular Pathology, Journal of Hypertension and Journal of the American College of Cardiology.

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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