Raphael See

432 citations
16 papers · 357 · h-index 9

Impact in

Papers in

Raphael See

16 papers receiving 339 citations

Peers

Raphael See
Comparison fields: 5 of 53
  • Cardiology and Cardiovascular Medicine 110
  • Endocrinology, Diabetes and Metabolism 48
  • Orthopedics and Sports Medicine 24
  • Radiology, Nuclear Medicine and Imaging 46
  • Physiology 42
Replace Subhashish Agarwal with:
Subhashish Agarwal United States
Ming-Chieh Tsai Taiwan
Campbell Kyle New Zealand
Elisabetta Stenner Italy
Ki-Won Oh South Korea
Evrim Çakır Türkiye
Krishnan Swaminathan India
Edoardo Bressi Italy
Shon Meek United States
Fredrik Toss Sweden
Raphael See relative to Subhashish Agarwal United States Subhashish Agarwal's profile →
Citations per field
00.5×1.5×2.3×
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 2007138
2 200760
3 201045
4 200618
5 200817
6 201116
7 200912
8 201310
9 200910
10 20098
11 20116
12 20145
13
Gonorrhea screening in a prostitute population.
19785
14 20153
15 20083
16 20111

About Raphael See

Raphael See is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Family Practice, having authored 16 papers that have together received 357 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Cardiac Imaging and Diagnostics (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Bone and Joint Diseases (1 paper), Aortic Disease and Treatment Approaches (1 paper), Virology and Viral Diseases (1 paper), Acute Myocardial Infarction Research (1 paper) and Medication Adherence and Compliance (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (110 citations), Endocrinology, Diabetes and Metabolism (48 citations), Orthopedics and Sports Medicine (24 citations), Radiology, Nuclear Medicine and Imaging (46 citations) and Physiology (42 citations). Raphael See has collaborated with scholars based in United States and Canada. Frequent co-authors include James A. de Lemos, Darren K. McGuire, Shuaib Abdullah, Amit Khera, Mahesh J. Patel, Scott M. Grundy, Jason B. Lindsey, Colby Ayers, Sabina A. Murphy and Emmanouil S. Brilakis. Their work appears in journals such as Diabetes and Vascular Disease Research, American Heart Journal, Obesity, Journal of the American College of Cardiology and Atherosclerosis.

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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