Jeongbin Park

6.1k total citations · 3 hit papers
30 papers, 3.9k citations indexed

About

Jeongbin Park is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Jeongbin Park has authored 30 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Oncology. Recurrent topics in Jeongbin Park's work include CRISPR and Genetic Engineering (12 papers), Single-cell and spatial transcriptomics (5 papers) and Plant Virus Research Studies (5 papers). Jeongbin Park is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), Single-cell and spatial transcriptomics (5 papers) and Plant Virus Research Studies (5 papers). Jeongbin Park collaborates with scholars based in South Korea, Germany and United States. Jeongbin Park's co-authors include Jin‐Soo Kim, Sangsu Bae, Daesik Kim, Kayeong Lim, Seokjoong Kim, Eunji Kim, Jong‐Il Kim, Jinha Hwang, Roland Eils and Sunghyun Kim and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jeongbin Park

26 papers receiving 3.8k citations

Hit Papers

Cas-OFFinder: a fast and versatile algorithm that searche... 2014 2026 2018 2022 2014 2015 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeongbin Park South Korea 15 3.4k 691 617 330 322 30 3.9k
Mudra Hegde United States 14 4.5k 1.3× 732 1.1× 462 0.7× 498 1.5× 213 0.7× 18 5.1k
Meagan E. Sullender United States 11 4.1k 1.2× 670 1.0× 450 0.7× 461 1.4× 198 0.6× 15 4.8k
Joshua A. Weinstein United States 10 3.6k 1.1× 729 1.1× 444 0.7× 225 0.7× 289 0.9× 15 4.4k
Gang Bao United States 9 4.1k 1.2× 895 1.3× 520 0.8× 220 0.7× 406 1.3× 11 4.5k
Peyton B. Randolph United States 7 4.1k 1.2× 1.2k 1.8× 664 1.1× 251 0.8× 366 1.1× 7 4.4k
Jessie R. Davis United States 10 4.0k 1.2× 1.3k 1.9× 586 0.9× 242 0.7× 351 1.1× 12 4.3k
Ella Hartenian United States 14 5.0k 1.5× 738 1.1× 389 0.6× 581 1.8× 230 0.7× 19 6.0k
Evan H. Whitehead United States 10 5.5k 1.6× 1.0k 1.5× 429 0.7× 315 1.0× 357 1.1× 20 6.2k
Gloria A. Brar United States 23 6.1k 1.8× 770 1.1× 634 1.0× 279 0.8× 207 0.6× 40 6.6k
James K. Nuñez United States 12 3.3k 1.0× 620 0.9× 253 0.4× 168 0.5× 227 0.7× 16 3.6k

Countries citing papers authored by Jeongbin Park

Since Specialization
Citations

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

Fields of papers citing papers by Jeongbin Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeongbin Park

This figure shows the co-authorship network connecting the top 25 collaborators of Jeongbin Park. A scholar is included among the top collaborators of Jeongbin 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 Jeongbin Park. Jeongbin 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.
Ko, Dayoung, Jae‐Kyung Won, Anna Cho, et al.. (2025). Inhibiting EZH2 complements steroid effects in Duchenne muscular dystrophy. Science Advances. 11(11). eadr4443–eadr4443.
2.
Kim, Hyung‐Jun, Jae Ho Lee, Choon‐Taek Lee, et al.. (2025). Lung Microphysiological System Validates Novel Cell Therapy for Acute Respiratory Distress Syndrome. Advanced Biology. 10(1). e00225–e00225.
3.
Park, Jeongbin, et al.. (2025). From spots to cells: Cell segmentation in spatial transcriptomics with BOMS. SHILAP Revista de lepidopterología. 20(6). e0311458–e0311458.
4.
Park, Jeongbin, et al.. (2025). Experimental performance comparison of Ducted and Freestream hydrokinetic turbines. Renewable Energy. 251. 123308–123308. 2 indexed citations
5.
Park, Jeongbin, et al.. (2025). Multifidelity CFD analysis for ducted hydrokinetic turbine design. Renewable Energy. 252. 123307–123307. 2 indexed citations
6.
Lee, Seul, et al.. (2024). READRetro: natural product biosynthesis predicting with retrieval‐augmented dual‐view retrosynthesis. New Phytologist. 243(6). 2512–2527. 14 indexed citations
7.
Jeong, Minwoo, Jae Hyun Kim, Il Bin Kim, et al.. (2024). CWAS-Plus: estimating category-wide association of rare noncoding variation from whole-genome sequencing data with cell-type-specific functional data. Briefings in Bioinformatics. 25(4). 5 indexed citations
8.
Park, Jeongbin & Nagarajan Paramasivam. (2023). PyOncoPrint: a python package for plotting OncoPrints. Genomics & Informatics. 21(1). e14–e14.
9.
Miller, Jeremy A., Jeongbin Park, Boudewijn P. F. Lelieveldt, et al.. (2023). Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain. Scientific Reports. 13(1). 9567–9567. 9 indexed citations
10.
Park, Jeongbin, Sebastian Tiesmeyer, Brian Long, et al.. (2021). Author Correction: Cell segmentation-free inference of cell types from in situ transcriptomics data. Nature Communications. 12(1). 4103–4103. 1 indexed citations
11.
Park, Jeongbin, Sebastian Tiesmeyer, Brian Long, et al.. (2021). Cell segmentation-free inference of cell types from in situ transcriptomics data. Nature Communications. 12(1). 3545–3545. 75 indexed citations
12.
Krieger, Teresa G., Stephan M. Tirier, Jeongbin Park, et al.. (2020). Modeling glioblastoma invasion using human brain organoids and single-cell transcriptomics. Neuro-Oncology. 22(8). 1138–1149. 109 indexed citations
13.
Quintero, Andrés, Daniel Hübschmann, Nils Kurzawa, et al.. (2020). ShinyButchR: Interactive NMF-based decomposition workflow of genome-scale datasets. Biology Methods and Protocols. 5(1). bpaa022–bpaa022. 9 indexed citations
14.
Tirier, Stephan M., Jeongbin Park, Friedrich Preußer, et al.. (2019). Pheno-seq – linking visual features and gene expression in 3D cell culture systems. Scientific Reports. 9(1). 14 indexed citations
15.
Rodríguez‐Paredes, Manuel, Felix Bormann, Günter Raddatz, et al.. (2018). Methylation profiling identifies two subclasses of squamous cell carcinoma related to distinct cells of origin. Nature Communications. 9(1). 577–577. 61 indexed citations
16.
Jabs, Julia, Franziska Maria Zickgraf, Jeongbin Park, et al.. (2017). Screening drug effects in patient‐derived cancer cells links organoid responses to genome alterations. Molecular Systems Biology. 13(11). 156 indexed citations
17.
Kim, Heon Seok, Kyungjin Lee, Sangsu Bae, et al.. (2017). CRISPR/Cas9-mediated gene knockout screens and target identification via whole-genome sequencing uncover host genes required for picornavirus infection. Journal of Biological Chemistry. 292(25). 10664–10671. 33 indexed citations
18.
Kim, Daesik, Sojung Kim, Sunghyun Kim, Jeongbin Park, & Jin‐Soo Kim. (2016). Genome-wide target specificities of CRISPR-Cas9 nucleases revealed by multiplex Digenome-seq. Genome Research. 26(3). 406–415. 158 indexed citations
19.
Kim, Daesik, Sangsu Bae, Jeongbin Park, et al.. (2015). Digenome-seq: genome-wide profiling of CRISPR-Cas9 off-target effects in human cells. Nature Methods. 12(3). 237–243. 743 indexed citations breakdown →
20.
Seo, Moon‐Hyeong, Jeongbin Park, Eun‐Kyung Kim, Sungchul Hohng, & Hak‐Sung Kim. (2014). Protein conformational dynamics dictate the binding affinity for a ligand. Nature Communications. 5(1). 3724–3724. 104 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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