Sang Won Hwang

38 total papers · 491 total citations
29 papers, 330 citations indexed

About

Sang Won Hwang is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Sang Won Hwang has authored 29 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Sang Won Hwang's work include Salivary Gland Tumors Diagnosis and Treatment (4 papers), Trauma Management and Diagnosis (4 papers) and Sinusitis and nasal conditions (3 papers). Sang Won Hwang is often cited by papers focused on Salivary Gland Tumors Diagnosis and Treatment (4 papers), Trauma Management and Diagnosis (4 papers) and Sinusitis and nasal conditions (3 papers). Sang Won Hwang collaborates with scholars based in South Korea, Australia and Ethiopia. Sang Won Hwang's co-authors include Sang In Khwarg, Sanjay Warrier, Nam Ju Kim, Jong Hyun Kim, Joanna Walton, Ho Kyung Choung, Hugh Carmalt, Cherry Koh, Cindy Mak and Heather L. Shepherd and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Ophthalmology and Journal of Cataract & Refractive Surgery.

In The Last Decade

Sang Won Hwang

27 papers receiving 321 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sang Won Hwang 174 90 64 50 46 29 330
Kenneth E. Morgenstern 151 0.9× 133 1.5× 37 0.6× 73 1.5× 49 1.1× 18 346
E Waldhart 158 0.9× 65 0.7× 37 0.6× 9 0.2× 30 0.7× 30 310
Haşmet Yazıcı 93 0.5× 81 0.9× 69 1.1× 20 0.4× 62 1.3× 38 306
Guy D. Potter 177 1.0× 46 0.5× 93 1.5× 14 0.3× 80 1.7× 25 325
Ivo Glunčić 107 0.6× 24 0.3× 34 0.5× 12 0.2× 140 3.0× 25 304
John F. Hoffmann 209 1.2× 24 0.3× 25 0.4× 14 0.3× 45 1.0× 20 297
Genival Barbosa de Carvalho 209 1.2× 39 0.4× 51 0.8× 5 0.1× 55 1.2× 27 352
Henry P. Royster 141 0.8× 15 0.2× 19 0.3× 10 0.2× 86 1.9× 24 287
Rao V. Chundury 57 0.3× 72 0.8× 18 0.3× 70 1.4× 8 0.2× 31 316
F Tovi 148 0.9× 11 0.1× 29 0.5× 11 0.2× 75 1.6× 26 307

Countries citing papers authored by Sang Won Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Sang Won Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang Won Hwang. 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 Sang Won Hwang. The network helps show where Sang Won Hwang may publish in the future.

Co-authorship network of co-authors of Sang Won Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Won Hwang. A scholar is included among the top collaborators of Sang Won Hwang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sang Won Hwang. Sang Won Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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