Won-Jin Kim

4.0k citations
157 papers · 3.4k · h-index 34

Impact in

Papers in

Won-Jin Kim

145 papers receiving 3.3k citations

Peers

Won-Jin Kim
Comparison fields: 5 of 158
  • Automotive Engineering 664
  • Biomaterials 526
  • Biomedical Engineering 1.7k
  • Materials Chemistry 619
  • Surgery 478
Replace Jangho Kim with:
Jangho Kim South Korea
Vincent Chan Singapore
Jianxing Zhang China
Wenguang Yang China
Amy J. Wagoner Johnson United States
Rohollah Nasiri United States
Yonglin Yu China
Lingyu Sun China
Dong Sung Kim South Korea
Won-Jin Kim relative to Jangho Kim South Korea Jangho Kim's profile →
Citations per field
00.5×2×3×3.9×
Jangho Kim · 1×
Citations per year

Countries citing papers authored by Won-Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won-Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019165
2 2009149
3 2020138
4 2019124
5 2020123
6 201898
7 201992
8 200988
9 201783
10 200881
11 202176
12 202073
13 201772
14 201871
15 201070
16 200860
17 201959
18 200957
19 200854
20 202053

About Won-Jin Kim

Won-Jin Kim is a scholar working on Automotive Engineering, Biomedical Engineering, Biomaterials, Civil and Structural Engineering and Surgery, having authored 157 papers that have together received 3.4k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (35 papers), Additive Manufacturing and 3D Printing Technologies (19 papers), Bone Tissue Engineering Materials (19 papers), Tissue Engineering and Regenerative Medicine (8 papers), Engineering Applied Research (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Neuroscience and Neural Engineering (7 papers) and Quantum Dots Synthesis And Properties (6 papers). The work is most often cited by research in Automotive Engineering (664 citations), Biomaterials (526 citations), Biomedical Engineering (1.7k citations), Materials Chemistry (619 citations) and Surgery (478 citations). Won-Jin Kim has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include GeunHyung Kim, Paras N. Prasad, Chul Ho Jang, JiUn Lee, Hyeongjin Lee, Alexander N. Cartwright, Sung Jin Kim, Marcin Nyk, James J. Yoo and Sang Jin Lee. Their work appears in journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces, Advanced Functional Materials, Theranostics and International Journal of Biological Macromolecules.

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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