Hongwon Kim

1.4k total citations · 1 hit paper
41 papers, 1.0k citations indexed

About

Hongwon Kim is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Hongwon Kim has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Electrical and Electronic Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Hongwon Kim's work include Pluripotent Stem Cells Research (8 papers), Neuroscience and Neural Engineering (4 papers) and Educational Research and Pedagogy (4 papers). Hongwon Kim is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Neuroscience and Neural Engineering (4 papers) and Educational Research and Pedagogy (4 papers). Hongwon Kim collaborates with scholars based in South Korea, United States and Germany. Hongwon Kim's co-authors include Jongpil Kim, Yu‐Jung Chang, Hanseul Park, Christopher J. Lengner, Jaein Shin, Hwan Geun Choi, Junyeop Kim, Junsang Yoo, Byounggook Cho and Yong Kyu Lee and has published in prestigious journals such as Nature Communications, ACS Nano and Nature Neuroscience.

In The Last Decade

Hongwon Kim

38 papers receiving 999 citations

Hit Papers

Modeling G2019S-LRRK2 Sporadic Parkinson's Disease in 3D ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongwon Kim South Korea 14 587 204 203 144 132 41 1.0k
Prem Prakash Tripathi India 19 498 0.8× 149 0.7× 130 0.6× 58 0.4× 69 0.5× 33 991
Hanseul Park South Korea 13 595 1.0× 145 0.7× 129 0.6× 95 0.7× 117 0.9× 29 887
Ilona Klejbor Poland 15 497 0.8× 223 1.1× 187 0.9× 94 0.7× 109 0.8× 56 1.1k
Mahmoudreza Hadjighassem Iran 19 409 0.7× 272 1.3× 146 0.7× 90 0.6× 99 0.8× 70 1.0k
Yuezhou Li China 12 492 0.8× 329 1.6× 168 0.8× 221 1.5× 44 0.3× 25 1.0k
Maribel Vázquez United States 19 402 0.7× 408 2.0× 367 1.8× 47 0.3× 39 0.3× 78 1.2k
Matthieu Vandenberghe Norway 12 668 1.1× 504 2.5× 217 1.1× 71 0.5× 103 0.8× 13 1.4k
Jaein Shin South Korea 10 350 0.6× 150 0.7× 128 0.6× 64 0.4× 106 0.8× 11 525
Soyoung Choi South Korea 13 381 0.6× 317 1.6× 125 0.6× 72 0.5× 75 0.6× 27 908

Countries citing papers authored by Hongwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hongwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hongwon Kim. A scholar is included among the top collaborators of Hongwon 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 Hongwon Kim. Hongwon 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.
Lee, Jae Wook, Sung-Pyo Hong, Daun Jeong, et al.. (2025). Eutectic‐Like Ion‐Conductive Phase‐Incorporated Zwitterionic Covalent Organic Framework Solid Electrolyte for All‐Solid‐State Li Metal Batteries. Advanced Science. 12(33). e05530–e05530.
2.
Kim, Hongwon, et al.. (2025). PTN activity in quiescent neural stem cells mediates Shank3 overexpression-induced manic behavior. Nature Communications. 16(1). 2435–2435. 2 indexed citations
3.
Choi, Chanhee, DaBin Yim, Su‐Ji Jeon, et al.. (2024). Crystalline carbon antioxidase mimics enhancing innate anti-inflammatory immunity for the treatment of rheumatoid arthritis. Chemical Engineering Journal. 500. 157629–157629. 1 indexed citations
4.
Yim, DaBin, Sin Lee, Hyunji Lee, et al.. (2023). Insights into the selective bactericidal activity of W(Mo)Se2 nanosheets for therapy of pathogenic bacterial infections. Chemical Engineering Journal. 468. 143727–143727. 12 indexed citations
5.
Choi, Chanhee, Hongwon Kim, Hyunji Lee, et al.. (2023). Confined growth of Ag nanogap shells emitting stable Raman label signals for SERS liquid biopsy of pancreatic cancer. Biosensors and Bioelectronics. 248. 115948–115948. 11 indexed citations
6.
Kim, Hongwon, et al.. (2023). Efficient generation of brain organoids using magnetized gold nanoparticles. Scientific Reports. 13(1). 21240–21240. 10 indexed citations
7.
Park, Hanseul, Byounggook Cho, Hongwon Kim, et al.. (2023). Single-cell RNA-sequencing identifies disease-associated oligodendrocytes in male APP NL-G-F and 5XFAD mice. Nature Communications. 14(1). 802–802. 44 indexed citations
8.
Kim, Hongwon, et al.. (2023). LOS Stabilization Controller Design of EOTS and Performance Prediction Using Disturbance Model. Journal of the Korea Institute of Military Science and Technology. 26(1). 72–82.
9.
Kim, Hongwon, Byounggook Cho, Hanseul Park, et al.. (2022). Dormant state of quiescent neural stem cells links Shank3 mutation to autism development. Molecular Psychiatry. 27(6). 2751–2765. 19 indexed citations
10.
Kim, Hongwon, Siyoung Kim, Byounggook Cho, Jaein Shin, & Jongpil Kim. (2022). APOE ε4-dependent effects on the early amyloid pathology in induced neurons of patients with Alzheimer’s disease. Translational Neurodegeneration. 11(1). 45–45. 14 indexed citations
11.
12.
Choi, Hwan Geun, et al.. (2019). Nac1 facilitates pluripotency gene activation for establishing somatic cell reprogramming. Biochemical and Biophysical Research Communications. 518(2). 253–258. 3 indexed citations
13.
Lee, Sang‐Hun, et al.. (2019). China’s Internet Plus Strategy: Characteristics and Regional Case Study. RePEc: Research Papers in Economics. 2 indexed citations
14.
Park, Hanseul, Jungju Oh, Gayong Shim, et al.. (2019). In vivo neuronal gene editing via CRISPR–Cas9 amphiphilic nanocomplexes alleviates deficits in mouse models of Alzheimer’s disease. Nature Neuroscience. 22(4). 524–528. 204 indexed citations
15.
Kim, Hongwon, Hwan Geun Choi, Yu‐Jung Chang, et al.. (2019). Modeling G2019S-LRRK2 Sporadic Parkinson's Disease in 3D Midbrain Organoids. Stem Cell Reports. 12(3). 518–531. 260 indexed citations breakdown →
16.
Chang, Yu‐Jung, Junsang Yoo, Hongwon Kim, et al.. (2018). Salusin-β mediate neuroprotective effects for Parkinson's disease. Biochemical and Biophysical Research Communications. 503(3). 1428–1433. 9 indexed citations
17.
Kim, Hongwon, Junsang Yoo, Jaein Shin, et al.. (2017). Modelling APOE ɛ3/4 allele-associated sporadic Alzheimer’s disease in an induced neuron. Brain. 140(8). 2193–2209. 26 indexed citations
18.
Yoo, Junsang, Euiyeon Lee, Hee Young Kim, et al.. (2017). Electromagnetized gold nanoparticles mediate direct lineage reprogramming into induced dopamine neurons in vivo for Parkinson's disease therapy. Nature Nanotechnology. 12(10). 1006–1014. 118 indexed citations
19.
Kim, Hongwon, et al.. (2014). Impaired motor coordination in Pitx3 overexpression mice. Biochemical and Biophysical Research Communications. 446(4). 1211–1218. 7 indexed citations
20.
Kim, Hyun Chul, et al.. (2006). A study on education and employment for gifted teacher. The Journal of Korean Teacher Education. 23(2). 343–364.

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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