Daniel Kwon

476 citations
37 papers · 278 · h-index 8

Impact in

Papers in

    • Thyroid and Parathyroid Surgery 5
    • Reconstructive Surgery and Microvascular Techniques 5
    • Salivary Gland Tumors Diagnosis and Treatment 2
    • Thyroid Cancer Diagnosis and Treatment 5

Daniel Kwon

31 papers receiving 277 citations

Peers

Daniel Kwon
Comparison fields: 5 of 53
  • Health Informatics 22
  • Otorhinolaryngology 38
  • Dermatology 36
  • Surgery 102
  • Endocrinology, Diabetes and Metabolism 14
Replace Yu‐Hsueh Wu with:
Yu‐Hsueh Wu Taiwan
UmadeviK Rao India
Youley Tjendra United States
Fanni Adél Meznerics Hungary
B F Adeyemi Nigeria
S.M. Reinartz Netherlands
Ana Terezinha Marques Mesquita Brazil
Arunabha Sengupta India
Nadia Fathallah France
Fatima Dost Australia
Daniel Kwon relative to Yu‐Hsueh Wu Taiwan Yu‐Hsueh Wu's profile →
Citations per field
00.5×7.3×
Yu‐Hsueh Wu · 1×
Citations per year

Countries citing papers authored by Daniel Kwon

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 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 Kwon more than expected).

Fields of papers citing papers by Daniel Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201853
2 201438
3 201732
4 201827
5 202326
6 201616
7 20179
8 20198
9 20236
10 20226
11 20236
12 20205
13 20155
14 20175
15 20234
16 20174
17 20164
18 20253
19 20223
20 20243

About Daniel Kwon

Daniel Kwon is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 278 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (5 papers), Thyroid and Parathyroid Surgery (5 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), Head and Neck Cancer Studies (2 papers), Obstructive Sleep Apnea Research (2 papers), Tumors and Oncological Cases (2 papers), Cancer survivorship and care (2 papers) and Salivary Gland Tumors Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (22 citations), Otorhinolaryngology (38 citations), Dermatology (36 citations), Surgery (102 citations) and Endocrinology, Diabetes and Metabolism (14 citations). Daniel Kwon has collaborated with scholars based in United States, Greece and Australia. Frequent co-authors include Brett A. Miles, Jared C. Inman, Alfred Marc Iloreta, Niels Kokot, Mark S. Swanson, Robert P. Takes, Yuan F. Liu, Álvaro Sanabria, Alfio Ferlito and Remco de Bree. Their work appears in journals such as The Laryngoscope, American Journal of Otolaryngology, Head & Neck, International Journal of Pediatric Otorhinolaryngology and Otolaryngology.

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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