David Shin

62 papers receiving 1.8k citations

Peers

David Shin
Comparison fields: 5 of 125
  • Health Informatics 43
  • Cardiology and Cardiovascular Medicine 516
  • Pulmonary and Respiratory Medicine 565
  • Orthopedics and Sports Medicine 126
  • Reproductive Medicine 122
Replace Chin Lin with:
Chin Lin Taiwan
Junmei Xu China
Ah‐Young Oh South Korea
Emily Vertosick United States
H. L. J. Tanghe Netherlands
Stefan Groß Germany
Anne Charloux France
Peter Clarkson United Kingdom
Jung‐Hee Ryu South Korea
Richard O’Sullivan Australia
David Shin relative to Chin Lin Taiwan Chin Lin's profile →
Citations per field
00.5×10×15.3×
Chin Lin · 1×
Citations per year

Countries citing papers authored by David Shin

Since Specialization
Citations

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

Fields of papers citing papers by David Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007277
2 2005145
3 2007130
4 2007123
5 1996115
6 201389
7 201371
8 201266
9 200965
10 200663
11 201055
12 202048
13 202041
14 201234
15 200533
16 202133
17 201232
18 202131
19 200329
20 199728

About David Shin

David Shin is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine, Medical Laboratory Technology, Urology and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Functional Brain Connectivity Studies (6 papers), Heart Failure Treatment and Management (5 papers), Orthopaedic implants and arthroplasty (5 papers), MRI in cancer diagnosis (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Lanthanide and Transition Metal Complexes (4 papers). The work is most often cited by research in Health Informatics (43 citations), Cardiology and Cardiovascular Medicine (516 citations), Pulmonary and Respiratory Medicine (565 citations), Orthopedics and Sports Medicine (126 citations) and Reproductive Medicine (122 citations). David Shin has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Marc Goldstein, Peter N. Schlegel, Wendy Gattis Stough, Joseph S. Rossi, Thomas T. Liu, V. Reggie Edgerton, John A. Hodgson, Shantanu Sinha, Gregg C. Fonarow and Mihai Gheorghiade. Their work appears in journals such as The Journal of Urology, Acute Cardiac Care, Journal of Applied Physiology, Magnetic Resonance in Medicine and Acta Orthopaedica.

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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