Jun Shitara

1.2k citations
68 papers · 710 · h-index 16

Impact in

Papers in

Jun Shitara

61 papers receiving 699 citations

Peers

Jun Shitara
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 351
  • Geriatrics and Gerontology 42
  • Nephrology 48
  • Internal Medicine 24
  • Physiology 153
Replace Rui Zeng with:
Rui Zeng China
Jacek Niedziela Poland
Mi‐Hyang Jung South Korea
Alireza Najafian United States
Mony Shuvy Israel
Miriam Shteinshnaider Israel
Xuebiao Wei China
Dorit Almoznino‐Sarafian Israel
Kyu-Hyung Ryu South Korea
Fang‐Yang Huang China
Jun Shitara relative to Rui Zeng China Rui Zeng's profile →
Citations per field
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Rui Zeng · 1×
Citations per year

Countries citing papers authored by Jun Shitara

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shitara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 201748
3 201847
4 201745
5 201942
6 201631
7 201829
8 202028
9 201625
10 202023
11 202022
12 201518
13 201818
14 201916
15 202015
16 201715
17 202215
18 201913
19 202212
20 201611

About Jun Shitara

Jun Shitara is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Physiology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 68 papers that have together received 710 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (13 papers), Acute Myocardial Infarction Research (13 papers), Lipoproteins and Cardiovascular Health (10 papers), Heart Failure Treatment and Management (9 papers), Coronary Interventions and Diagnostics (6 papers), Cardiac Arrest and Resuscitation (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Nutrition and Health in Aging (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (351 citations), Geriatrics and Gerontology (42 citations), Nephrology (48 citations), Internal Medicine (24 citations) and Physiology (153 citations). Jun Shitara has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Hiroyuki Daida, Takatoshi Kasai, Katsumi Miyauchi, Ryo Naito, Hideki Wada, Tomotaka Dohi, Manabu Ogita, Shinichiro Doi, Hirohisa Endo and Shinya Okazaki. Their work appears in journals such as Journal of Cardiology, Nutrients, Heart and Vessels, The American Journal of Cardiology and Hypertension Research.

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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