Gun‐Do Kim

5.6k citations
202 papers · 4.5k indexed · h-index 38

Gun‐Do Kim

180 papers receiving 4.4k citations

Peers

Gun‐Do Kim
Comparison fields: 5 of 153
  • Aquatic Science 357
  • Complementary and alternative medicine 296
  • Molecular Biology 1.8k
  • Toxicology 87
  • Biochemistry 147
Replace Tae‐Hoo Yi with:
Tae‐Hoo Yi South Korea
Ching‐Feng Weng Taiwan
Yong Il Park South Korea
Mei Jing Piao South Korea
Dong‐Seok Lee South Korea
Shengnan Wang China
Hong Wang China
Fan Zhang China
Wenjuan Li China
Kechun Liu China
Gun‐Do Kim relative to Tae‐Hoo Yi South Korea Tae‐Hoo Yi's profile →
Citations per field
00.5×2.7×
Tae‐Hoo Yi · 1×
Citations per year

Countries citing papers authored by Gun‐Do Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gun‐Do Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20252
4 20240
5 20232
6 20231
7 20232
8 20234
9 20221
10 20211
11 20191
12 20182
13
Numerical Prediction of Hydroelastic Performance of the Flexible Composite Propeller
20181
14
Effect of LED Light Strength for Enhancing Rutin Content in Tatary Buckwheat Sprouts and Antioxidant Activity
20183
15 20157
16
The Extracts of Sargassum fulvellum Induce Pro-Apoptosis and Cell Cycle Arrest on MDA-MB-231 Human Breast Carcinoma Cells
20102
17
Hybrid RANS and Potential Based Numerical Simulation for Self-Propulsion Performances of the Practical Container Ship
200610
18
MPI-Parallelized RANS simulation of turbulent free surface flow around a practical ship
20061
19
Activity of Early Gene Promoters from a Korean Chlorella Virus Isolate in Transformed Chlorella Algae
20061
20
Immunohistochemical Studies of Angiogenic Factors on Psoriatic Lesions
20061

About Gun‐Do Kim

Gun‐Do Kim is a scholar working on Aquatic Science, Toxicology and Biotechnology, having authored 202 papers that have together received 4.5k indexed citations. Recurring topics across this work include Seaweed-derived Bioactive Compounds (17 papers), Nanoparticles: synthesis and applications (16 papers), Cavitation Phenomena in Pumps (16 papers), Identification and Quantification in Food (15 papers), Engineering Applied Research (13 papers), Aquaculture disease management and microbiota (12 papers), Genomics and Phylogenetic Studies (12 papers) and Genomics, phytochemicals, and oxidative stress (11 papers). The work is most often cited by research in Aquatic Science (357 citations), Complementary and alternative medicine (296 citations) and Molecular Biology (1.8k citations). Gun‐Do Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Maheshkumar Prakash Patil, Daniel Ngabire, Yong Bae Seo, Graeme Milligan, Minjae Kang, Pyung-Gyun Shin, Byung‐Soo Chun, Hee-Chul Woo, David J. MacEwan and Naresh H. Tarte. Their work appears in journals such as International Journal of Oncology, International Journal of Molecular Medicine, Ocean Engineering, Bioorganic Chemistry and Journal of Industrial and Engineering Chemistry.

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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