Jae‐Hak Park

4.5k total citations · 1 hit paper
170 papers, 3.2k citations indexed

About

Jae‐Hak Park is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Jae‐Hak Park has authored 170 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 33 papers in Immunology and 25 papers in Infectious Diseases. Recurrent topics in Jae‐Hak Park's work include Animal testing and alternatives (15 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and Viral gastroenteritis research and epidemiology (11 papers). Jae‐Hak Park is often cited by papers focused on Animal testing and alternatives (15 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and Viral gastroenteritis research and epidemiology (11 papers). Jae‐Hak Park collaborates with scholars based in South Korea, United States and Japan. Jae‐Hak Park's co-authors include Seung Hyeok Seok, Hui‐Young Lee, Min‐Won Baek, Dong‐Jae Kim, Jin Kim, Jong‐Hwan Park, C‐Yoon Kim, Hanseul Oh, Bokyeong Ryu and Yeonhee Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Chemistry of Materials.

In The Last Decade

Jae‐Hak Park

162 papers receiving 3.1k citations

Hit Papers

Digital selective transformation and patterning of highly... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae‐Hak Park South Korea 31 1.1k 352 350 324 315 170 3.2k
Seung Hyeok Seok South Korea 30 1.4k 1.3× 267 0.8× 349 1.0× 312 1.0× 1.1k 3.4× 148 4.0k
Akira Takahashi Japan 39 1.9k 1.7× 311 0.9× 325 0.9× 429 1.3× 415 1.3× 261 5.7k
Yin Wang China 34 1.2k 1.1× 441 1.3× 620 1.8× 217 0.7× 362 1.1× 244 4.3k
Markus Nagl Austria 30 866 0.8× 541 1.5× 446 1.3× 208 0.6× 457 1.5× 117 2.8k
Hideki Takahashi Japan 44 1.6k 1.5× 222 0.6× 325 0.9× 294 0.9× 257 0.8× 248 6.2k
Cheng Lv China 36 1.6k 1.5× 221 0.6× 277 0.8× 104 0.3× 278 0.9× 157 3.8k
Zuhair Mohammad Hassan Iran 35 1.3k 1.2× 168 0.5× 267 0.8× 170 0.5× 733 2.3× 192 3.6k
Mojtaba Sankian Iran 28 936 0.9× 240 0.7× 161 0.5× 335 1.0× 509 1.6× 199 2.7k
Sang‐Myeong Lee South Korea 29 995 0.9× 533 1.5× 378 1.1× 188 0.6× 545 1.7× 141 3.3k
Bo Wan China 32 1.3k 1.2× 342 1.0× 387 1.1× 159 0.5× 284 0.9× 201 3.3k

Countries citing papers authored by Jae‐Hak Park

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Hak Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae‐Hak Park

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Hak Park. A scholar is included among the top collaborators of Jae‐Hak 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 Jae‐Hak Park. Jae‐Hak 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.
Baek, Seung Ho, et al.. (2024). Intranasal administration enhances size-dependent pulmonary phagocytic uptake of poly(lactic-co-glycolic acid) nanoparticles. EJNMMI Radiopharmacy and Chemistry. 9(1). 12–12. 3 indexed citations
2.
3.
Lee, Yeon Hee, et al.. (2023). Lactobacillus acidophilus inhibits the Helicobacter pylori adherence. Seoul National University Open Repository (Seoul National University).
4.
Baek, Seung Ho, Hanseul Oh, Bon‐Sang Koo, et al.. (2022). Cynomolgus Macaque Model for COVID-19 Delta Variant. Immune Network. 22(6). e48–e48. 5 indexed citations
5.
Kim, Jin, Hanseul Oh, Bokyeong Ryu, et al.. (2018). Triclosan affects axon formation in the neural development stages of zebrafish embryos (Danio rerio). Environmental Pollution. 236. 304–312. 67 indexed citations
6.
Han, Juhee, Tae‐Hyoun Kim, Ji Min Lee, et al.. (2014). High animal fat intake enhances prostate cancer progression and reduces glutathione peroxidase 3 expression in early stages of TRAMP mice. The Prostate. 74(13). 1266–1277. 33 indexed citations
7.
Song, Hae Ryong, Ji‐Hoon Bae, Jae‐Hak Park, et al.. (2010). The Effect of Platelet Rich Plasma on Osteogenesis in a Long Bone Segmental Defect: Is the Platelet Rich Plasma Effective for Bone Reconstruction?. Tissue Engineering and Regenerative Medicine. 7(4). 395–400. 1 indexed citations
8.
Park, Jeong Soon, Young Hwan Choi, & Jae‐Hak Park. (2010). Evaluation of Piping Failure Probability of Reactor Coolant System in Kori Unit 1 Considering Stress Corrosion Cracking. 6(1). 43–49. 1 indexed citations
9.
Baek, Min‐Won, Seung Hyeok Seok, Hui‐Young Lee, et al.. (2006). Protective Effect of Y-mix in an Ethanol-induced Toxicity Model. Laboratory Animal Research. 22(1). 117–117. 2 indexed citations
10.
Baek, Min‐Won, et al.. (2005). Protective Effect of Y-mix In Ethanol-induced Toxicity Model of Mice Toxicity Protective Effect of Y-mix. Laboratory Animal Research. 21(4). 413–417. 3 indexed citations
11.
Park, Jong‐Hwan, Yeon‐Hee Lee, Seung Hyeok Seok, et al.. (2005). Immunoenhancing Effects of a New Probiotic Strain, Lactobacillus fermentum PL9005. Journal of Food Protection. 68(3). 571–576. 11 indexed citations
12.
Lee, Hui‐Young, Jong Hwan Park, Seung Hyeok Seok, et al.. (2004). Dietary Intake of Various Lactic Acid Bacteria Suppresses Type 2 Helper T Cell Production in Antigen-Primed Mice Splenocyte. Journal of Microbiology and Biotechnology. 14(1). 167–170. 4 indexed citations
13.
Park, Jong‐Hwan, Yongho Park, Min‐Won Baek, et al.. (2004). Characteristics of the Gastritis Induced by Listeria monocytogenes in Mice. 155–155. 1 indexed citations
14.
Seok, Seung Hyeok, Jong‐Hwan Park, Min‐Won Baek, et al.. (2003). Coccidia (Eimeria spp.) in small intestine of Japanese quail (Coturnix coturnix japonica). Laboratory Animal Research. 19(2). 90–91.
15.
Park, Jong‐Hwan, et al.. (2002). Prevalence and Pathological Characteristics of Helicobacter spp. in Gastric Mucosa of Domestic Pet Dogs. Laboratory Animal Research. 18(3). 120–124. 1 indexed citations
16.
Park, Jae‐Hak, et al.. (2001). White spot syndrome virus in Penaeid shrimp cultured in Korea. Journal of Microbiology and Biotechnology. 11(3). 394–398. 2 indexed citations
17.
Lee, Won‐Woo, Beom Jun Lee, Yeonhee Lee, Yong Soon Lee, & Jae‐Hak Park. (2000). In situ hybridization of white spot disease virus in experimentally infected penaeid shrimp. Journal of Microbiology and Biotechnology. 10(2). 215–220. 2 indexed citations
18.
Park, Jae‐Hak, et al.. (1998). Frequency and distribution of unexpected antibodies of Koreans. The Korean Journal of Blood Transfusion. 9(2). 191–200. 12 indexed citations
19.
Hwan, Jeong, et al.. (1998). Serum Cholesterol Lowering Effects of the Phytosterol Derivative ( LPSS ) in Rats. Toxicological Research. 14(4). 535–539. 1 indexed citations
20.
Lee, Yong‐Soon, et al.. (1996). Acute toxicity test with the Ginkgo biloba extract (EGb 761) in rats and rabbits. Laboratory Animal Research. 12(1). 131–134.

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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