Daniel I. Kwon

499 citations
43 papers · 300 · h-index 8

Impact in

Papers in

Daniel I. Kwon

38 papers receiving 298 citations

Peers

Daniel I. Kwon
Comparison fields: 5 of 54
  • Health Informatics 25
  • Otorhinolaryngology 38
  • Dermatology 37
  • Surgery 110
  • Internal Medicine 4
Replace Abdul-Warith Akinshipo with:
Abdul-Warith Akinshipo Nigeria
Maria Eduarda Pérez‐de‐Oliveira Brazil
Yu‐Hsueh Wu Taiwan
Mathilde Charlot France
Hawbash Mohammed-Amin Rahim Iraq
Matthew J. R. Magarey Australia
Snur Othman Iraq
Darlene E. Lubbe South Africa
Kanograt Pornpanich Thailand
Hadi Ghadimi Iran
Daniel I. Kwon relative to Abdul-Warith Akinshipo Nigeria Abdul-Warith Akinshipo's profile →
Citations per field
00.5×2×4×6×8×9.3×
Abdul-Warith Akinshipo · 1×
Citations per year

Countries citing papers authored by Daniel I. Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel I. Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel I. Kwon. 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 Daniel I. Kwon. The network helps show where Daniel I. Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201853
2 201438
3 201733
4 202329
5 201828
6 201616
7 201710
8 20198
9 20157
10 20236
11 20236
12 20225
13 20175
14 20205
15 20175
16 20234
17 20254
18 20164
19 20153
20 20243

About Daniel I. Kwon

Daniel I. Kwon is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Otorhinolaryngology, Pathology and Forensic Medicine and Health Informatics, having authored 43 papers that have together received 300 indexed citations. Recurring topics across this work include Thyroid and Parathyroid Surgery (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), Head and Neck Cancer Studies (3 papers), Head and Neck Anomalies (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Obstructive Sleep Apnea Research (2 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (25 citations), Otorhinolaryngology (38 citations), Dermatology (37 citations), Surgery (110 citations) and Internal Medicine (4 citations). Daniel I. Kwon has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Brett Miles, Jared C. Inman, Alfred Marc Iloreta, Matthew Ern Lin, Niels Kokot, Ryan J. Davis, Mark S. Swanson, Juan Pablo Rodrigo, Eric Michael Genden and Álvaro Sanabria. Their work appears in journals such as The Laryngoscope, American Journal of Otolaryngology, Otolaryngology, Head & Neck and International Journal of Pediatric Otorhinolaryngology.

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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