Won-Jin Kim

2.6k citations
112 papers · 2.1k · h-index 27

Impact in

Papers in

Won-Jin Kim

100 papers receiving 2.1k citations

Peers

Won-Jin Kim
Comparison fields: 5 of 134
  • Automotive Engineering 618
  • Biomaterials 462
  • Biomedical Engineering 1.4k
  • Surgery 416
  • Molecular Medicine 41
Replace Jung‐Seob Lee with:
Jung‐Seob Lee South Korea
Naomi C. Paxton Australia
Saif Khalil United States
Xiaohong Wang China
Hee‐Gyeong Yi South Korea
İlyas İnci Türkiye
Hai Yao United States
Tiziano Serra Switzerland
Xinda Li China
Won-Jin Kim relative to Jung‐Seob Lee South Korea Jung‐Seob Lee's profile →
Citations per field
00.5×7.6×
Jung‐Seob Lee · 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 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 2020134
3 2019118
4 2020114
5 201897
6 201992
7 201778
8 202173
9 202071
10 201868
11 201958
12 202051
13 200449
14 202148
15 202146
16 201746
17 202139
18 201737
19 201937
20 202135

About Won-Jin Kim

Won-Jin Kim is a scholar working on Biomedical Engineering, Automotive Engineering, Civil and Structural Engineering, Mechanical Engineering and Electrical and Electronic Engineering, having authored 112 papers that have together received 2.1k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (32 papers), Bone Tissue Engineering Materials (18 papers), Additive Manufacturing and 3D Printing Technologies (17 papers), Engineering Applied Research (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Tissue Engineering and Regenerative Medicine (7 papers), Neuroscience and Neural Engineering (7 papers) and Hydraulic and Pneumatic Systems (5 papers). The work is most often cited by research in Automotive Engineering (618 citations), Biomaterials (462 citations), Biomedical Engineering (1.4k citations), Surgery (416 citations) and Molecular Medicine (41 citations). Won-Jin Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include GeunHyung Kim, Chul Ho Jang, JiUn Lee, Hyeongjin Lee, Sang Jin Lee, James J. Yoo, Juyeon Kim, Minseong Kim, Anthony Atala and Gi Hoon Yang. Their work appears in journals such as Advanced Functional Materials, ACS Applied Materials & Interfaces, Chemical Engineering Journal, Theranostics and Applied Physics Reviews.

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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