Raphael See

423 citations
16 papers · 366 · h-index 9

Impact in

Papers in

Raphael See

16 papers receiving 348 citations

Peers

Raphael See
Comparison fields: 5 of 43
  • Endocrinology, Diabetes and Metabolism 92
  • Cardiology and Cardiovascular Medicine 123
  • Orthopedics and Sports Medicine 37
  • Clinical Biochemistry 17
  • Radiology, Nuclear Medicine and Imaging 52
Replace Subhashish Agarwal with:
Subhashish Agarwal United States
Jakob R. Larsen Norway
Pernille Høyem Denmark
Shigehiko Fujiwara Japan
Michele Mae Ann Yuen Hong Kong
S Yeung Australia
Matthew S. Nudy United States
Shizu Suzuki Japan
Miyoko Komatsu Japan
Evrim Çakır Türkiye
Raphael See relative to Subhashish Agarwal United States Subhashish Agarwal's profile →
Citations per field
00.5×2×3×4.3×
Subhashish Agarwal · 1×
Citations per year

Countries citing papers authored by Raphael See

Since Specialization
Citations

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

Fields of papers citing papers by Raphael See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007142
2 200763
3 201044
4 200819
5 200617
6 200917
7 201116
8 200910
9 20139
10 20098
11 20117
12 20144
13 20083
14 20153
15 20153
16 20111

About Raphael See

Raphael See is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Emergency Medicine and Orthopedics and Sports Medicine, having authored 16 papers that have together received 366 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Imaging and Diagnostics (4 papers), Acute Myocardial Infarction Research (3 papers), Cardiovascular Disease and Adiposity (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Cardiovascular and exercise physiology (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (92 citations), Cardiology and Cardiovascular Medicine (123 citations), Orthopedics and Sports Medicine (37 citations), Clinical Biochemistry (17 citations) and Radiology, Nuclear Medicine and Imaging (52 citations). Raphael See has collaborated with scholars based in United States and Canada. Frequent co-authors include Darren K. McGuire, James A. de Lemos, Amit Khera, Shuaib M. Abdullah, Jason B. Lindsey, Mahesh J. Patel, Scott M. Grundy, Colby R. Ayers, Sabina A. Murphy and Subhash Banerjee. Their work appears in journals such as Diabetes and Vascular Disease Research, American Heart Journal, Journal of Investigative Medicine, Journal of the American College of Cardiology and Obesity.

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.

Explore authors with similar magnitude of impact