Kihak Gwon

972 citations
37 papers · 789 · h-index 14

Impact in

Papers in

    • 3D Printing in Biomedical Research 12
    • Graphene and Nanomaterials Applications 6
    • Nanoplatforms for cancer theranostics 5
    • Pluripotent Stem Cells Research 6

Kihak Gwon

36 papers receiving 771 citations

Peers

Kihak Gwon
Comparison fields: 5 of 90
  • Molecular Medicine 93
  • Biomaterials 217
  • Inorganic Chemistry 136
  • Biomedical Engineering 422
  • Rehabilitation 57
Replace Farhana Gul‐E‐Noor with:
Farhana Gul‐E‐Noor Germany
Qing Wu China
Vineeta Panwar India
Yingying Wang China
Zhengqing Yan China
Xinting Cheng China
Xianglin Luo China
Yongzhi Men China
Hossein Ravanbakhsh Canada
Kihak Gwon relative to Farhana Gul‐E‐Noor Germany Farhana Gul‐E‐Noor's profile →
Citations per field
00.5×2.7×
Farhana Gul‐E‐Noor · 1×
Citations per year

Countries citing papers authored by Kihak Gwon

Since Specialization
Citations

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

Fields of papers citing papers by Kihak Gwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020154
2 2016109
3 202160
4 201460
5 201849
6 202138
7 202129
8 202326
9 201726
10 201622
11 201121
12 202119
13 201216
14 202114
15 201413
16 202113
17 202112
18 202212
19 202310
20 202210

About Kihak Gwon

Kihak Gwon is a scholar working on Biomedical Engineering, Molecular Biology, Biomaterials, Surgery and Materials Chemistry, having authored 37 papers that have together received 789 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (12 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Graphene and Nanomaterials Applications (6 papers), Pluripotent Stem Cells Research (6 papers), Nanoplatforms for cancer theranostics (5 papers), Metal-Organic Frameworks: Synthesis and Applications (5 papers), Pancreatic function and diabetes (4 papers) and Advanced Nanomaterials in Catalysis (3 papers). The work is most often cited by research in Molecular Medicine (93 citations), Biomaterials (217 citations), Inorganic Chemistry (136 citations), Biomedical Engineering (422 citations) and Rehabilitation (57 citations). Kihak Gwon has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Giyoong Tae, Seonhwa Lee, Do Nam Lee, Youngmee Kim, Ihn Han, Mi-Hye Kim, Amy K.Y. Fu, Julia A. Kornfield, Sung‐Jin Kim and Alan M. Gonzalez‐Suarez. Their work appears in journals such as International Journal of Biological Macromolecules, ACS Applied Materials & Interfaces, Cells, Bioactive Materials and Journal of Visualized Experiments.

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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