Hong Nam Kim

8.3k citations
127 papers · 6.7k indexed · 3 hit papers · h-index 36

Hong Nam Kim

119 papers receiving 6.6k citations

Hit Papers

Protein-Based Nanoparticles a...403200920262014202050010001.5k

Peers

Hong Nam Kim
Comparison fields: 5 of 151
  • Surfaces, Coatings and Films 898
  • Biomedical Engineering 4.2k
  • Biomaterials 1.1k
  • Polymers and Plastics 760
  • Cognitive Neuroscience 804
Replace Kahp‐Yang Suh with:
Kahp‐Yang Suh South Korea
Virgilio Mattoli Italy
Sung Gap Im South Korea
Jungmok Seo South Korea
János Vörös Switzerland
Xiaoyu Chen China
German Alberto Parada United States
Michael C. McAlpine United States
Ryan L. Truby United States
Wei Rao China
Hong Nam Kim relative to Kahp‐Yang Suh South Korea Kahp‐Yang Suh's profile →
Citations per field
00.5×1.5×1.9×
Kahp‐Yang Suh · 1×
Citations per year

Countries citing papers authored by Hong Nam Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hong Nam Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20252
4 20250
5 20243
6 20241
7 20236
8 202315
9 20232
10 202217
11 20223
12 20216
13 202127
14 202141
15 202010
16 201957
17 201938
18 201416
19
A flexible and highly sensitive strain-gauge sensor using reversible interlocking of nanofibresbreakdown →
20121505
20
Effects of Cutting Conditions on Surface Roughness in Turning
20011

About Hong Nam Kim

Hong Nam Kim is a scholar working on Biomedical Engineering, Surfaces, Coatings and Films and Biomaterials, having authored 127 papers that have together received 6.7k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (52 papers), Neuroscience and Neural Engineering (19 papers), Cellular Mechanics and Interactions (16 papers), Innovative Microfluidic and Catalytic Techniques Innovation (14 papers), Surface Modification and Superhydrophobicity (11 papers), Bone Tissue Engineering Materials (10 papers), Cancer Cells and Metastasis (9 papers) and Electrospun Nanofibers in Biomedical Applications (8 papers). The work is most often cited by research in Surfaces, Coatings and Films (898 citations), Biomedical Engineering (4.2k citations) and Biomaterials (1.1k citations). Hong Nam Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kahp‐Yang Suh, Sang Moon Kim, Changhyun Pang, Gil-Yong Lee, Sung‐Hoon Ahn, Tae‐il Kim, Kahp Y. Suh, Nakwon Choi, Hoon Eui Jeong and Deok‐Ho Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials 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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