Jin G. Park

2.2k total citations
38 papers, 1.3k citations indexed

About

Jin G. Park is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jin G. Park has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Jin G. Park's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Advanced Biosensing Techniques and Applications (4 papers) and 3D Printing in Biomedical Research (3 papers). Jin G. Park is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Advanced Biosensing Techniques and Applications (4 papers) and 3D Printing in Biomedical Research (3 papers). Jin G. Park collaborates with scholars based in United States, United Kingdom and Poland. Jin G. Park's co-authors include Joshua LaBaer, Karen S. Anderson, Ji Qiu, Sri Krishna, Garrick Wallstrom, Mehdi Nikkhah, Radwa Ewaisha, Samira Kiani, Farzaneh Moghadam and Michael Czech and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jin G. Park

37 papers receiving 1.3k citations

Peers

Jin G. Park
Mark N. Bobrow United States
Guillaume Normand United States
Javad Nazarian United States
Steve Bagley United Kingdom
Yukinori Endo United States
Xuan Cao China
Jin G. Park
Citations per year, relative to Jin G. Park Jin G. Park (= 1×) peers Tomoaki Niimi

Countries citing papers authored by Jin G. Park

Since Specialization
Citations

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

Fields of papers citing papers by Jin G. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin G. 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 Jin G. Park. The network helps show where Jin G. Park may publish in the future.

Co-authorship network of co-authors of Jin G. Park

This figure shows the co-authorship network connecting the top 25 collaborators of Jin G. Park. A scholar is included among the top collaborators of Jin G. 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 Jin G. Park. Jin G. 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.
Zhang, Yining, et al.. (2025). Tumor Microenvironment On‐A‐Chip and Single‐Cell Analysis Reveal Synergistic Stromal–Immune Crosstalk on Breast Cancer Progression. Advanced Science. 12(16). e2413457–e2413457. 4 indexed citations
2.
Zhang, Yining, Kristin D. Neff, Wuqiang Zhu, et al.. (2025). Development of an electroconductive Heart-on-a-chip model to investigate cellular and molecular response of human cardiac tissue to gold nanomaterials. Biomaterials. 320. 123275–123275. 2 indexed citations
3.
Cook, David P., Barbara C. Vanderhyden, Jin G. Park, et al.. (2024). Transcriptional regulation of the postnatal cardiac conduction system heterogeneity. Nature Communications. 15(1). 6550–6550. 3 indexed citations
4.
Wei, Jing, Xiaokuang Ma, Ross A. Johnson, et al.. (2024). SIRT1 Coordinates Transcriptional Regulation of Neural Activity and Modulates Depression-Like Behaviors in the Nucleus Accumbens. Biological Psychiatry. 96(6). 495–505. 13 indexed citations
5.
Xu, Chenxi, Yining Zhang, Yunro Chung, et al.. (2024). Multiplexed Methylated DNA Immunoprecipitation Sequencing (Mx-MeDIP-Seq) to Study DNA Methylation Using Low Amounts of DNA. SHILAP Revista de lepidopterología. 4(4). 397–416.
6.
Zhang, Yining, Jillian Madine, Seth Truran, et al.. (2023). Transcriptomic analyses reveal proinflammatory activation of human brain microvascular endothelial cells by aging-associated peptide medin and reversal by nanoliposomes. Scientific Reports. 13(1). 18802–18802. 3 indexed citations
7.
Gao, Weimin, Lusheng Song, Stacy Williams, et al.. (2022). Comparative Microbiomics Analysis of Antimicrobial Antibody Response between Patients with Lung Cancer and Control Subjects with Benign Pulmonary Nodules. Cancer Epidemiology Biomarkers & Prevention. 32(4). 496–504. 1 indexed citations
8.
Dussik, Christopher M., Marya S. Sabir, Lin Zhang, et al.. (2022). Identification of putative transcriptomic biomarkers in irritable bowel syndrome (IBS): Differential gene expression and regulation of TPH1 and SERT by vitamin D. PLoS ONE. 17(10). e0275683–e0275683. 10 indexed citations
9.
Chung, Yunro, et al.. (2022). Serum autoantibodyome reveals that healthy individuals share common autoantibodies. Cell Reports. 39(9). 110873–110873. 26 indexed citations
10.
Hoffmeyer, Michaela R., et al.. (2021). Making the Case for Absorbed Radiation Response Biodosimetry – Utility of a High-Throughput Biodosimetry System. Radiation Research. 196(5). 535–546. 3 indexed citations
11.
Lee, Anbok, Hyeon‐Ok Jin, Hee Yeon Kim, et al.. (2021). Synergism of a novel MCL‑1 downregulator, acriflavine, with navitoclax (ABT‑263) in triple‑negative breast cancer, lung adenocarcinoma and glioblastoma multiforme. International Journal of Oncology. 60(1). 11 indexed citations
12.
Truong, Danh D., Alexander Kratz, Jin G. Park, et al.. (2019). A Human Organotypic Microfluidic Tumor Model Permits Investigation of the Interplay between Patient-Derived Fibroblasts and Breast Cancer Cells. Cancer Research. 79(12). 3139–3151. 121 indexed citations
13.
Maarsingh, Jason D., Shanshan Yang, Jin G. Park, & Shelley E. Haydel. (2019). Comparative transcriptomics reveals PrrAB-mediated control of metabolic, respiration, energy-generating, and dormancy pathways in Mycobacterium smegmatis. BMC Genomics. 20(1). 1–1. 17 indexed citations
14.
Krishna, Sri, Eric Wilson, Falguni Parikh, et al.. (2018). Human Papilloma Virus Specific Immunogenicity and Dysfunction of CD8+ T Cells in Head and Neck Cancer. Cancer Research. 78(21). 6159–6170. 59 indexed citations
15.
Festa, Fernanda, et al.. (2018). Ibrutinib inhibition of ERBB4 reduces cell growth in a WNT5A-dependent manner. Oncogene. 37(17). 2237–2250. 30 indexed citations
16.
Wang, Jie, Jonine D. Figueroa, Garrick Wallstrom, et al.. (2015). Plasma Autoantibodies Associated with Basal-like Breast Cancers. Cancer Epidemiology Biomarkers & Prevention. 24(9). 1332–1340. 39 indexed citations
18.
Ho, Thai H., Huihuang Yan, Jin G. Park, et al.. (2015). A Multidisciplinary Biospecimen Bank of Renal Cell Carcinomas Compatible with Discovery Platforms at Mayo Clinic, Scottsdale, Arizona. PLoS ONE. 10(7). e0132831–e0132831. 7 indexed citations
19.
Anderson, Karen S., Sahar Sibani, Garrick Wallstrom, et al.. (2010). Protein Microarray Signature of Autoantibody Biomarkers for the Early Detection of Breast Cancer. Journal of Proteome Research. 10(1). 85–96. 176 indexed citations
20.
Park, Jin G., Avirup Bose, John Leszyk, & Michael Czech. (2001). PYK2 as a Mediator of Endothelin-1/Gα11Signaling to GLUT4 Glucose Transporters. Journal of Biological Chemistry. 276(51). 47751–47754. 21 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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