Wookhyun Kim

998 citations
31 papers · 799 indexed · h-index 15
Topics
Connective tissue disorders research (6 papers)Biochemical and Structural Characterization (4 papers)Silk-based biomaterials and applications (4 papers)

In The Last Decade

Wookhyun Kim

28 papers receiving 792 citations

Peers

Wookhyun Kim
Comparison fields: 5 of 93
  • Molecular Biology 392
  • Biomaterials 343
  • Organic Chemistry 165
  • Genetics 143
  • Biomedical Engineering 97
Replace Philip Grossen with:
Philip Grossen Switzerland
T. Akaike Japan
John‐Michael Williford United States
Vincent Darras Canada
Hye Yeong Nam South Korea
Malavosklish Bikram United States
Venkata R. Krishnamurthy United States
Russell Johnson United States
Catherine Passirani France
Mitsuaki Goto Japan
Wookhyun Kim relative to Philip Grossen Switzerland Philip Grossen's profile →
Citations per field
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Philip Grossen · 1×
Citations per year

Countries citing papers authored by Wookhyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Wookhyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wookhyun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Wookhyun Kim. A scholar is included among the top collaborators of Wookhyun Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wookhyun Kim. Wookhyun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 31
4 1
5 36
6 5
7 135
8 20
9 8
10 127
11 68
12 1
13
Improved FCM Algorithm using Entropy-based Weight and Intercluster
1
14 72
15 17
16 59
17 0
18 14
19 3
20
Extraction and Reconstruction of Road Segments by Spatial Filters.
1

About Wookhyun Kim

Wookhyun Kim is a scholar working on Biomaterials, Computer Vision and Pattern Recognition and Genetics, having authored 31 papers that have together received 799 indexed citations. Recurring topics across this work include Connective tissue disorders research (6 papers), Biochemical and Structural Characterization (4 papers) and Silk-based biomaterials and applications (4 papers). The work is most often cited by research in Biomaterials (343 citations), Pharmaceutical Science (61 citations) and Molecular Medicine (43 citations). Wookhyun Kim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Elliot L. Chaikof, Vincent P. Conticello, Jennifer E. Gagner, Sébastien Lecommandoux, Julie Thévenot, Emmanuel Ibarboure, Kenneth I. Hardcastle, R. Andrew McMillan, James P. Snyder and Anna George. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

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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