Won Oak Kim

538 citations
37 papers · 342 · h-index 9

Impact in

Papers in

Won Oak Kim

31 papers receiving 327 citations

Peers

Won Oak Kim
Comparison fields: 5 of 65
  • Anesthesiology and Pain Medicine 141
  • Developmental Neuroscience 30
  • Critical Care and Intensive Care Medicine 24
  • Surgery 195
  • Pulmonary and Respiratory Medicine 79
Replace H Guldager with:
H Guldager Denmark
Selda Şen Türkiye
Mun Gyu Kim South Korea
John B. Eck United States
David Hoppenstein Israel
İsmail Demirel Türkiye
Gopinath Ramachandran India
Renu Sinha India
Laura Badina Italy
Stefano Catarci Italy
Won Oak Kim relative to H Guldager Denmark H Guldager's profile →
Citations per field
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H Guldager · 1×
Citations per year

Countries citing papers authored by Won Oak Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won Oak Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Won Oak Kim, 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 Won Oak Kim Line = papers co-authored together Won Oak Kim 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 201257
2 201344
3 200941
4 201232
5 201029
6 200926
7 201425
8 201119
9 201216
10 20168
11 19956
12 20025
13 20013
14 19993
15 20073
16 19963
17 19962
18 20012
19 20042
20 20052

About Won Oak Kim

Won Oak Kim is a scholar working on Surgery, Anesthesiology and Pain Medicine, Pulmonary and Respiratory Medicine, Physiology and Pathology and Forensic Medicine, having authored 37 papers that have together received 342 indexed citations. Recurring topics across this work include Airway Management and Intubation Techniques (9 papers), Anesthesia and Pain Management (9 papers), Respiratory Support and Mechanisms (7 papers), Anesthesia and Sedative Agents (6 papers), Sympathectomy and Hyperhidrosis Treatments (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Hemodynamic Monitoring and Therapy (3 papers) and Tracheal and airway disorders (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (141 citations), Developmental Neuroscience (30 citations), Critical Care and Intensive Care Medicine (24 citations), Surgery (195 citations) and Pulmonary and Respiratory Medicine (79 citations). Won Oak Kim has collaborated with scholars based in South Korea. Frequent co-authors include Hae Keum Kil, Jeong-Yeon Hong, Yoon Ji Choi, Young Hee Yoon, Kyung Bong Yoon, Myong-Hwan Karm, Sung‐Hoon Kim, Jai‐Hyun Hwang, Ji Young Kim and Bon‐Nyeo Koo. Their work appears in journals such as Korean journal of anesthesiology, Dermatologic Surgery, World Journal of Surgery, Urology and Anesthesia & Analgesia.

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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