Jun Hashida

476 citations
16 papers · 358 · h-index 7

Impact in

Papers in

Jun Hashida

14 papers receiving 319 citations

Peers

Jun Hashida
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 215
  • Radiology, Nuclear Medicine and Imaging 164
  • Pathology and Forensic Medicine 64
  • Developmental Neuroscience 11
  • Emergency Medicine 23
Replace E. HEXEBERG with:
E. HEXEBERG Norway
D S Thompson United Kingdom
P Bopp Switzerland
B N Singh United States
M. Tauchert Germany
Tsukasa Tajimi Japan
Heather D. Nisbet New Zealand
F. Williams United States
B. Pitt United States
Masatsugu Hori Japan
Jun Hashida relative to E. HEXEBERG Norway E. HEXEBERG's profile →
Citations per field
00.5×1.7×
E. HEXEBERG · 1×
Citations per year

Countries citing papers authored by Jun Hashida

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1982179
2 198165
3 198137
4
[Clinical effects of beni-koji in mild essential hypertension--a multi-center double-blind comparison with placebo].
199618
5 198115
6 198414
7 197713
8 19794
9 19802
10 19742
11 19822
12 19742
13 19772
14
STUDIES ON THE CAROTID BODY AND THE SINUS (13TH REPORT) COMPARISON OF THE HEMODYNAMIC CHANGES BETWEEN SPONTANEOUSLY HYPERTENSIVE RAT AND NORMOTENSIVE WISTAR RAT CAUSED BY THE EXOGENOUS CATECHOLAMINE : IIIrd Auditorium : PROCEEDINGS OF THE 40TH ANNUAL MEETING OF THE JAPANESE CIRCULATION SOCIETY
19761
15 19761
16 19731

About Jun Hashida

Jun Hashida is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Pharmacology and Organic Chemistry, having authored 16 papers that have together received 358 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (4 papers), Acute Myocardial Infarction Research (3 papers), Cardiac Ischemia and Reperfusion (2 papers), Diet and metabolism studies (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Estrogen and related hormone effects (1 paper), Synthesis and Characterization of Heterocyclic Compounds (1 paper) and Synthesis and biological activity (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (215 citations), Radiology, Nuclear Medicine and Imaging (164 citations), Pathology and Forensic Medicine (64 citations), Developmental Neuroscience (11 citations) and Emergency Medicine (23 citations). Jun Hashida has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include William Ganz, Ivor Geft, Michael C. Fishbein, William E. Shell, Jacob Y-Rit, K Ninomiya, J. Yano, Kenji Ninomiya, Prediman K. Shah and H.J.C. Swan. Their work appears in journals such as American Heart Journal, Circulation, Current Medical Research and Opinion, The American Journal of Cardiology and Japanese Circulation Journal-english Edition.

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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