Go Hashimoto

878 citations
46 papers · 517 indexed · h-index 11

Go Hashimoto

41 papers receiving 500 citations

Peers

Go Hashimoto
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 319
  • Epidemiology 272
  • Radiology, Nuclear Medicine and Imaging 133
  • Internal Medicine 16
  • Immunology 77
Replace Ali Andalib with:
Ali Andalib Iran
Richard J. Kaplon United States
David Gerson United States
Masahiro Kamada Japan
ARTHUR J. HAUCK United States
N. Swaminathan India
R Beaulieu Canada
Christine Savoye France
Hideaki Ikejima Japan
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Citations per field
00.5×4.2×
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Citations per year

Countries citing papers authored by Go Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Go Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20233
4 20230
5 202289
6 20223
7 20213
8 202120
9 202111
10 20202
11 20202
12 20202
13 20192
14 201913
15 20194
16 20160
17 20132
18 20138
19 20121
20 20115

About Go Hashimoto

Go Hashimoto is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Epidemiology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 517 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (24 papers), Infective Endocarditis Diagnosis and Management (14 papers), Cardiovascular Function and Risk Factors (12 papers), Cardiac Imaging and Diagnostics (8 papers), Aortic Disease and Treatment Approaches (6 papers), Cardiac Arrhythmias and Treatments (5 papers), Atrial Fibrillation Management and Outcomes (5 papers) and Congenital Heart Disease Studies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (319 citations), Epidemiology (272 citations), Radiology, Nuclear Medicine and Imaging (133 citations), Internal Medicine (16 citations) and Immunology (77 citations). Go Hashimoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Paul Wright, David T. Karzon, Paul Sorajja, João L. Cavalcante, Miho Fukui, Vinayak Bapat, John R. Lesser, Santiago García, Maurice Enriquez‐Sarano and Hirotomo Sato. Their work appears in journals such as Journal of cardiovascular computed tomography, Journal of Stroke and Cerebrovascular Diseases, JACC: Cardiovascular Interventions, European Heart Journal - Cardiovascular Imaging and Circulation Cardiovascular Interventions.

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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