Won Kim

1.5k citations
76 papers · 948 · h-index 17

Impact in

Papers in

    • Shoulder Injury and Treatment 6
    • Transplantation: Methods and Outcomes 4
    • Nutrition and Health in Aging 8

Won Kim

65 papers receiving 908 citations

Peers

Won Kim
Comparison fields: 5 of 125
  • Orthopedics and Sports Medicine 147
  • Rehabilitation 81
  • Critical Care and Intensive Care Medicine 26
  • Surgery 218
  • Physiology 115
Replace Leonardo Mottola with:
Leonardo Mottola Italy
Junya Sakamoto Japan
Jacques Mercier France
D. Neuhaus Germany
Kei Watanabe Japan
Mihai Popescu Romania
Ali Moghtaderi Iran
Sergio De Salvatore Italy
Hiroaki Koga Japan
Won Kim relative to Leonardo Mottola Italy Leonardo Mottola's profile →
Citations per field
00.5×3.4×
Leonardo Mottola · 1×
Citations per year

Countries citing papers authored by Won Kim

Since Specialization
Citations

This map shows the geographic impact of Won 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 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 Kim more than expected).

Fields of papers citing papers by Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201596
2 200164
3 201960
4 199853
5 201642
6 201541
7 202037
8 202232
9 201431
10 201427
11 202026
12 201624
13 201522
14 202121
15 201920
16 201620
17 200018
18 202116
19 201315
20 202215

About Won Kim

Won Kim is a scholar working on Surgery, Physiology, Orthopedics and Sports Medicine, Biomedical Engineering and Critical Care and Intensive Care Medicine, having authored 76 papers that have together received 948 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (8 papers), Tendon Structure and Treatment (7 papers), Shoulder Injury and Treatment (6 papers), Intensive Care Unit Cognitive Disorders (4 papers), Transplantation: Methods and Outcomes (4 papers), Respiratory Support and Mechanisms (3 papers), Flow Measurement and Analysis (3 papers) and Hydraulic flow and structures (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (147 citations), Rehabilitation (81 citations), Critical Care and Intensive Care Medicine (26 citations), Surgery (218 citations) and Physiology (115 citations). Won Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sun Gun Chung, Sang Yoon Lee, Kyoung Hyo Choi, Se‐Woong Chun, Seoyon Yang, Ui Wook Hwang, Markus Friedrich, Diethard Tautz, Chang Won Won and Kyu Jin Lee. Their work appears in journals such as Medicine, PM&R, PLoS ONE, Archives of Gerontology and Geriatrics and Journal of Clinical Medicine.

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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