Hae‐Chul Park

5.2k total citations
152 papers, 3.9k citations indexed

About

Hae‐Chul Park is a scholar working on Molecular Biology, Cell Biology and Developmental Neuroscience. According to data from OpenAlex, Hae‐Chul Park has authored 152 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 43 papers in Cell Biology and 28 papers in Developmental Neuroscience. Recurrent topics in Hae‐Chul Park's work include Zebrafish Biomedical Research Applications (35 papers), Neurogenesis and neuroplasticity mechanisms (26 papers) and Hearing, Cochlea, Tinnitus, Genetics (10 papers). Hae‐Chul Park is often cited by papers focused on Zebrafish Biomedical Research Applications (35 papers), Neurogenesis and neuroplasticity mechanisms (26 papers) and Hearing, Cochlea, Tinnitus, Genetics (10 papers). Hae‐Chul Park collaborates with scholars based in South Korea, United States and Japan. Hae‐Chul Park's co-authors include Bruce Appel, Jimann Shin, Suhyun Kim, Amit P. Mehta, Joanna Richardson, Ho Kim, Tae-Lin Huh, Cheol‐Hee Kim, Kyoungho Suk and David Mawdsley and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Neuroscience.

In The Last Decade

Hae‐Chul Park

148 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hae‐Chul Park South Korea 32 1.9k 1.1k 995 482 453 152 3.9k
Helena Sabanay Israel 28 2.0k 1.1× 1.2k 1.0× 433 0.4× 876 1.8× 196 0.4× 35 3.8k
Ralf Kleene Germany 34 2.6k 1.4× 829 0.7× 526 0.5× 1.0k 2.1× 430 0.9× 89 3.9k
Eric Glasgow United States 40 1.9k 1.0× 1.6k 1.4× 229 0.2× 461 1.0× 576 1.3× 103 5.2k
Kosei Takeuchi Japan 37 2.3k 1.2× 923 0.8× 371 0.4× 802 1.7× 305 0.7× 132 4.3k
Su Guo United States 47 4.6k 2.5× 3.1k 2.7× 444 0.4× 1.1k 2.4× 466 1.0× 134 8.0k
Cheol‐Hee Kim South Korea 46 5.5k 3.0× 2.6k 2.3× 505 0.5× 839 1.7× 600 1.3× 235 8.5k
Daniela Berdnik United States 22 1.9k 1.0× 844 0.7× 242 0.2× 852 1.8× 428 0.9× 26 3.7k
Manzoor A. Bhat United States 35 2.3k 1.3× 1.3k 1.2× 691 0.7× 2.0k 4.1× 374 0.8× 124 4.7k
Daniel Goldman United States 49 5.7k 3.1× 1.6k 1.4× 1.0k 1.0× 1.9k 3.9× 250 0.6× 107 7.0k
Richard M. Gronostajski United States 52 5.7k 3.1× 651 0.6× 1.3k 1.3× 749 1.6× 429 0.9× 138 7.5k

Countries citing papers authored by Hae‐Chul Park

Since Specialization
Citations

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

Fields of papers citing papers by Hae‐Chul Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hae‐Chul Park

This figure shows the co-authorship network connecting the top 25 collaborators of Hae‐Chul Park. A scholar is included among the top collaborators of Hae‐Chul Park 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 Hae‐Chul Park. Hae‐Chul Park 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.
Park, Hae‐Chul, et al.. (2024). Rotenone exposure causes features of Parkinson`s disease pathology linked with muscle atrophy in developing zebrafish embryo. Journal of Hazardous Materials. 480. 136215–136215. 8 indexed citations
2.
Han, Eun‐Jung, et al.. (2023). A comprehensive characterizations of zebrafish rheotactic behaviors and its application to otoprotective drug screening. Expert Systems with Applications. 237. 121496–121496. 2 indexed citations
3.
Han, Eun‐Jung, et al.. (2022). Noise-induced hearing loss in zebrafish model: Characterization of tonotopy and sex-based differences. Hearing Research. 418. 108485–108485. 14 indexed citations
4.
Kabir, Ashraf Ul, Dong Hun Lee, Xiaoli Wang, et al.. (2021). Dual role of endothelial Myct1 in tumor angiogenesis and tumor immunity. Science Translational Medicine. 13(583). 53 indexed citations
5.
6.
Nam, Tai‐Seung, Jun Zhang, C. Gopalakrishnan, et al.. (2019). A zebrafish model of nondystrophic myotonia with sodium channelopathy. Neuroscience Letters. 714. 134579–134579. 3 indexed citations
7.
Han, Eun‐Jung, et al.. (2019). Assessment of hair cell damage and developmental toxicity after fine particulate matter 2.5 μm (PM 2.5) exposure using zebrafish (Danio rerio) models. International Journal of Pediatric Otorhinolaryngology. 126. 109611–109611. 7 indexed citations
8.
Oh, Se Jin, Hanbyoul Cho, Suhyun Kim, et al.. (2018). Targeting Cyclin D-CDK4/6 Sensitizes Immune-Refractory Cancer by Blocking the SCP3–NANOG Axis. Cancer Research. 78(10). 2638–2653. 29 indexed citations
9.
Rah, Yoon Chan, et al.. (2018). In vivo assay of the potential gadolinium‐induced toxicity for sensory hair cells using a zebrafish animal model. Journal of Applied Toxicology. 38(11). 1398–1404. 7 indexed citations
10.
11.
Kang, JeongWoo, et al.. (2017). National post-market surveillance assessment of veterinary medicines in Korea during the past decade. BMC Veterinary Research. 13(1). 136–136. 8 indexed citations
12.
Rah, Yoon Chan, Myung Hoon Yoo, June Choi, et al.. (2017). In vivo assessment of hair cell damage and developmental toxicity caused by gestational caffeine exposure using zebrafish (Danio rerio) models. Neurotoxicology and Teratology. 64. 1–7. 18 indexed citations
13.
Park, Hae‐Chul, et al.. (2017). Development of new analytical methods using high performance liquid chromatography for animal hormones; gonadorelin, progesterone, oxytocin and estradiol. Korean Journal of Veterinary Service. 40(4). 253–258. 1 indexed citations
14.
Yoo, Myung Hoon, Yoon Chan Rah, June Choi, et al.. (2016). Embryotoxicity and hair cell toxicity of silver nanoparticles in zebrafish embryos. International Journal of Pediatric Otorhinolaryngology. 83. 168–174. 26 indexed citations
15.
Rah, Yoon Chan, June Choi, Myung Hoon Yoo, et al.. (2015). Ecabet sodium alleviates neomycin-induced hair cell damage. Free Radical Biology and Medicine. 89. 1176–1183. 12 indexed citations
16.
Park, Hye‐Yeon, Vinayakumar Gedi, Joungmok Kim, et al.. (2011). Ultrasensitive Diagnosis for an Anthrax‐Protective Antigen Based on a Polyvalent Directed Peptide Polymer Coupled to Zinc Oxide Nanorods. Advanced Materials. 23(45). 5425–5429. 21 indexed citations
17.
Park, Hae‐Chul, et al.. (2009). Species Diversity of Chironomid Midge and Evaluation on Removal Capacity of Organic Matter Using a Dominant Species, Chironomus nipponensis in Agroecosystem. Environmental Biology Research. 27(1). 31–39. 1 indexed citations
18.
Park, Hae‐Chul, et al.. (2008). Taxonomic review of the genus Copelatus Erichson (Coleoptera: Dytiscidae) in Korea. Entomological Research. 38(1). 73–76. 1 indexed citations
19.
Ahn, Mi Young, et al.. (2008). Antioxidant Activity of N-hydroxyethyl Adenosine from Isaria sinclairii. International Journal of Industrial Entomology. 17(2). 197–200. 4 indexed citations
20.
Shin, Jimann, et al.. (2007). Notch signaling regulates neural precursor allocation and binary neuronal fate decisions in zebrafish. Development. 134(10). 1911–1920. 65 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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