Raphael See

16 papers receiving 324 citations

Peers

Raphael See
Comparison fields: 5 of 63
  • Cardiology and Cardiovascular Medicine 152
  • Endocrinology, Diabetes and Metabolism 67
  • Radiology, Nuclear Medicine and Imaging 64
  • Orthopedics and Sports Medicine 24
  • Physiology 61
Replace Georgios Kyriakos with:
Georgios Kyriakos Spain
E. de Groot Netherlands
John H. Helzberg United States
Campbell Kyle New Zealand
M. Hori Japan
Genevieve A. Woodard United States
Alina Silaghi Romania
Elisabetta Stenner Italy
Volker Pönitz Norway
Raphael See relative to Georgios Kyriakos Spain Georgios Kyriakos's profile →
Citations per field
00.5×2.6×
Georgios Kyriakos · 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 2007126
2 200760
3 201041
4 200816
5 200616
6 201116
7 200912
8 201310
9 200910
10 20098
11 20116
12
Gonorrhea screening in a prostitute population.
19785
13 20144
14 20083
15 20153
16 20111

About Raphael See

Raphael See is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Epidemiology, having authored 16 papers that have together received 337 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Cardiac Imaging and Diagnostics (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Acute Myocardial Infarction Research (4 papers), Coronary Interventions and Diagnostics (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (152 citations), Endocrinology, Diabetes and Metabolism (67 citations), Radiology, Nuclear Medicine and Imaging (64 citations), Orthopedics and Sports Medicine (24 citations) and Physiology (61 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, Jason B. Lindsey, Scott M. Grundy, Mahesh J. Patel, Colby 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, European Heart Journal - Cardiovascular Imaging 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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