Do Yeon Kim

3.4k citations
134 papers · 2.5k · 1 hit paper · h-index 26

Impact in

Papers in

    • Ginseng Biological Effects and Applications 10
    • Metabolism, Diabetes, and Cancer 6
    • Renal and related cancers 5
    • Advanced Nanomaterials in Catalysis 7

Do Yeon Kim

124 papers receiving 2.5k citations

Do Yeon Kim's Hit Papers

Digital light processing 3D printed silk fibroin hydrogel for cartilage tissue engineering 2019 · 384 citations
3840+2+4Years since publication100200300

Peers

Do Yeon Kim
Comparison fields: 5 of 156
  • Biomaterials 280
  • Pharmacology 130
  • Automotive Engineering 169
  • Biomedical Engineering 605
  • Molecular Biology 731
Replace Anca Hermenean with:
Anca Hermenean Romania
Ping Zhu China
Sahar Kiani Iran
Yantao Zhao China
Fengyi Zhang China
P.V. Mohanan India
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Citations per field
00.5×3.8×
Anca Hermenean · 1×
Citations per year

Countries citing papers authored by Do Yeon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Do Yeon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Digital light processing 3D printed silk fibroin hydrogel for cartilage tissue engineering
Hit paper breakdown →
2019384
2 2017324
3 2009104
4 201487
5 200975
6 201166
7 201656
8 201755
9 201751
10 201746
11 201745
12 202145
13 201844
14 201439
15 201738
16 201138
17 201736
18 202435
19 201635
20 201334

About Do Yeon Kim

Do Yeon Kim is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Epidemiology and Pathology and Forensic Medicine, having authored 134 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (10 papers), Genetic and Kidney Cyst Diseases (8 papers), Advanced Nanomaterials in Catalysis (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Food Quality and Safety Studies (6 papers), Acute Ischemic Stroke Management (6 papers), Conducting polymers and applications (5 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Biomaterials (280 citations), Pharmacology (130 citations), Automotive Engineering (169 citations), Biomedical Engineering (605 citations) and Molecular Biology (731 citations). Do Yeon Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sung Hyun Chung, Han‐Gil Jeong, Seung‐Hoon Lee, Wookjin Yang, Chi Kyung Kim, Dong‐Wan Kang, Hai Yuan, Young Jin Lee, Soon Hee Kim and Heesun Hong. Their work appears in journals such as Stroke, The FASEB Journal, Advanced Healthcare Materials, Investigational New Drugs and IEEE Access.

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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