Woon‐Hae Kim

486 total citations
20 papers, 399 citations indexed

About

Woon‐Hae Kim is a scholar working on Pharmacology, Insect Science and Molecular Biology. According to data from OpenAlex, Woon‐Hae Kim has authored 20 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 6 papers in Insect Science and 4 papers in Molecular Biology. Recurrent topics in Woon‐Hae Kim's work include Healthcare and Venom Research (8 papers), Bee Products Chemical Analysis (6 papers) and Dermatology and Skin Diseases (4 papers). Woon‐Hae Kim is often cited by papers focused on Healthcare and Venom Research (8 papers), Bee Products Chemical Analysis (6 papers) and Dermatology and Skin Diseases (4 papers). Woon‐Hae Kim collaborates with scholars based in South Korea, Australia and United States. Woon‐Hae Kim's co-authors include Jung‐Yeon Kim, Hyun‐Jin An, Mi‐Gyeong Gwon, Kwan‐Kyu Park, Hyemin Gu, Sang‐Mi Han, Sok Cheon Pak, Min-Kyung Kim, Yoon-Yub Park and Jaechan Leem and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Woon‐Hae Kim

18 papers receiving 391 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Woon‐Hae Kim South Korea 11 174 140 96 68 52 20 399
Kyung Duck Park South Korea 10 47 0.3× 35 0.3× 48 0.5× 158 2.3× 40 0.8× 39 308
Junwei Zong China 11 17 0.1× 31 0.2× 130 1.4× 11 0.2× 34 0.7× 33 348
Maria Oliveira Brazil 8 75 0.4× 7 0.1× 92 1.0× 10 0.1× 227 4.4× 8 625
Hyunmi Kim South Korea 10 38 0.2× 7 0.1× 158 1.6× 321 4.7× 188 3.6× 19 766
Seok‐Kweon Yun South Korea 12 27 0.2× 11 0.1× 73 0.8× 228 3.4× 32 0.6× 75 485
Suteeraporn Chaowattanapanit Thailand 13 26 0.1× 16 0.1× 23 0.2× 417 6.1× 76 1.5× 25 524
Dae Cho South Korea 7 13 0.1× 24 0.2× 87 0.9× 286 4.2× 134 2.6× 9 443
Issekutz Ac 9 52 0.3× 4 0.0× 92 1.0× 24 0.4× 158 3.0× 10 392
K.H. Cho South Korea 8 12 0.1× 27 0.2× 45 0.5× 187 2.8× 45 0.9× 12 420
Amy Willey United States 10 12 0.1× 6 0.0× 74 0.8× 10 0.1× 61 1.2× 14 377

Countries citing papers authored by Woon‐Hae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Woon‐Hae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Woon‐Hae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Woon‐Hae Kim. A scholar is included among the top collaborators of Woon‐Hae 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 Woon‐Hae Kim. Woon‐Hae 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
1.
2.
Jang, Seil, Woon‐Hae Kim, Min Ju Kang, et al.. (2023). Cytokine engineered NK-92 therapy to improve persistence and anti-tumor activity. Theranostics. 13(5). 1506–1519. 7 indexed citations
3.
Lee, Seung Joon, Woon‐Hae Kim, Min Young Kim, et al.. (2022). A fully automated primary neuron purification system using continuous centrifugal microfluidics. Lab on a Chip. 22(17). 3268–3276. 5 indexed citations
4.
Woo, Hanwoong, et al.. (2022). Electroceutical approach ameliorates intracellular PMP22 aggregation and promotes pro-myelinating pathways in a CMT1A in vitro model. Biosensors and Bioelectronics. 224. 115055–115055. 1 indexed citations
5.
Kim, Woon‐Hae, Min Young Kim, Yu Seon Kim, et al.. (2022). Implantable Electroceutical Approach Improves Myelination by Restoring Membrane Integrity in a Mouse Model of Peripheral Demyelinating Neuropathy. Advanced Science. 9(32). e2201358–e2201358. 6 indexed citations
6.
Kim, Woon‐Hae, Min Young Kim, Yu Seon Kim, et al.. (2021). An electroceutical approach enhances myelination via upregulation of lipid biosynthesis in the dorsal root ganglion. Biofabrication. 14(1). 15017–15017. 6 indexed citations
7.
Gu, Hyemin, Hyun‐Jin An, Jung‐Yeon Kim, et al.. (2019). Bee venom attenuates Porphyromonas gingivalis and RANKL-induced bone resorption with osteoclastogenic differentiation. Food and Chemical Toxicology. 129. 344–353. 14 indexed citations
8.
Lee, Seung Joon, Tae Seok Sim, Jungmin Lee, et al.. (2019). Microslit on a chip: A simplified filter to capture circulating tumor cells enlarged with microbeads. PLoS ONE. 14(10). e0223193–e0223193. 5 indexed citations
9.
10.
Kim, Woon‐Hae, et al.. (2018). Antifibrotic Effect of Smad Decoy Oligodeoxynucleotide in a CCl4-Induced Hepatic Fibrosis Animal Model. Molecules. 23(8). 1991–1991. 8 indexed citations
11.
Kim, Woon‐Hae, Hyun‐Jin An, Jung‐Yeon Kim, et al.. (2018). Anti-Inflammatory Effect of Melittin on Porphyromonas Gingivalis LPS-Stimulated Human Keratinocytes. Molecules. 23(2). 332–332. 39 indexed citations
12.
An, Hyun‐Jin, Jung‐Yeon Kim, Woon‐Hae Kim, et al.. (2018). Therapeutic effects of bee venom and its major component, melittin, on atopic dermatitis in vivo and in vitro. British Journal of Pharmacology. 175(23). 4310–4324. 74 indexed citations
13.
Gu, Hyemin, Woon‐Hae Kim, Hyun‐Jin An, et al.. (2018). Therapeutic effects of bee venom on experimental atopic dermatitis. Molecular Medicine Reports. 18(4). 3711–3718. 28 indexed citations
14.
Kim, Woon‐Hae, Hyun‐Jin An, Jung‐Yeon Kim, et al.. (2017). Beneficial effects of melittin on ovalbumin-induced atopic dermatitis in mouse. Scientific Reports. 7(1). 17679–17679. 23 indexed citations
15.
Kim, Woon‐Hae, Hyun‐Jin An, Jung‐Yeon Kim, et al.. (2017). Apamin inhibits TNF-α- and IFN-γ-induced inflammatory cytokines and chemokines via suppressions of NF-κB signaling pathway and STAT in human keratinocytes. Pharmacological Reports. 69(5). 1030–1035. 34 indexed citations
16.
Kim, Jung‐Yeon, Hyun‐Jin An, Woon‐Hae Kim, et al.. (2017). Anti-fibrotic Effects of Synthetic Oligodeoxynucleotide for TGF-β1 and Smad in an Animal Model of Liver Cirrhosis. Molecular Therapy — Nucleic Acids. 8. 250–263. 43 indexed citations
17.
Kim, Jung‐Yeon, Hyun‐Jin An, Woon‐Hae Kim, et al.. (2017). Apamin suppresses biliary fibrosis and activation of hepatic stellate cells. International Journal of Molecular Medicine. 39(5). 1188–1194. 21 indexed citations
18.
Kim, Woon‐Hae, Hyun‐Jin An, Jung‐Yeon Kim, et al.. (2016). Bee Venom Inhibits Porphyromonas gingivalis Lipopolysaccharides-Induced Pro-Inflammatory Cytokines through Suppression of NF-κB and AP-1 Signaling Pathways. Molecules. 21(11). 1508–1508. 22 indexed citations
19.
An, Hyun‐Jin, Jung‐Yeon Kim, Woon‐Hae Kim, Sang‐Mi Han, & Kwan Kyu Park. (2016). The Protective Effect of Melittin on Renal Fibrosis in an Animal Model of Unilateral Ureteral Obstruction. Molecules. 21(9). 1137–1137. 25 indexed citations
20.
An, Hyun‐Jin, Woo‐Ram Lee, Jung‐Yeon Kim, et al.. (2015). Effects of Smad decoy ODN on shear stress-induced atherosclerotic ApoE-/-mouse.. PubMed. 8(4). 3971–8. 1 indexed citations

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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