Jaewon Shim

4.4k total citations · 1 hit paper
49 papers, 1.8k citations indexed

About

Jaewon Shim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Jaewon Shim has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 9 papers in Surgery. Recurrent topics in Jaewon Shim's work include Pluripotent Stem Cells Research (11 papers), Nuclear Receptors and Signaling (9 papers) and Coronary Interventions and Diagnostics (6 papers). Jaewon Shim is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), Nuclear Receptors and Signaling (9 papers) and Coronary Interventions and Diagnostics (6 papers). Jaewon Shim collaborates with scholars based in South Korea, United States and Japan. Jaewon Shim's co-authors include Lesly Puspita, Sun Young Chung, Sang‐Hun Lee, Yong‐Sung Lee, Yun Kyung Lee, Panida Sittipo, Koh H, Mi‐Yoon Chang, Chang‐Hwan Park and Ji‐Yun Ko and has published in prestigious journals such as Journal of Clinical Investigation, Energy & Environmental Science and Chemistry of Materials.

In The Last Decade

Jaewon Shim

44 papers receiving 1.8k citations

Hit Papers

Oxidative stress and cellular pathologies in Parkinson’s ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaewon Shim South Korea 19 1.0k 519 258 240 210 49 1.8k
Jagdeep K. Sandhu Canada 26 1.4k 1.4× 299 0.6× 204 0.8× 253 1.1× 200 1.0× 57 2.7k
Sung‐Soo Kim South Korea 26 802 0.8× 433 0.8× 211 0.8× 146 0.6× 504 2.4× 110 2.4k
Fredrik Kamme United States 22 948 0.9× 445 0.9× 108 0.4× 257 1.1× 112 0.5× 31 2.1k
Jie Wang China 29 1.4k 1.4× 454 0.9× 369 1.4× 112 0.5× 80 0.4× 139 3.3k
Peng Xia China 29 1.5k 1.4× 919 1.8× 157 0.6× 412 1.7× 151 0.7× 65 3.0k
Shuyu Wang China 14 1.9k 1.8× 327 0.6× 110 0.4× 367 1.5× 94 0.4× 35 2.8k
Jason Miller United States 22 718 0.7× 505 1.0× 209 0.8× 111 0.5× 80 0.4× 57 1.7k
Li Zhao China 28 631 0.6× 316 0.6× 81 0.3× 363 1.5× 110 0.5× 160 2.4k
Xian‐Ping Dong China 28 1.4k 1.4× 611 1.2× 154 0.6× 540 2.3× 60 0.3× 63 4.5k
Shaohua Xu United States 22 852 0.8× 221 0.4× 250 1.0× 572 2.4× 53 0.3× 61 1.9k

Countries citing papers authored by Jaewon Shim

Since Specialization
Citations

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

Fields of papers citing papers by Jaewon Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewon Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Jaewon Shim. A scholar is included among the top collaborators of Jaewon Shim 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 Jaewon Shim. Jaewon Shim 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.
Kim, Hyung Seok, Seonghoe Jang, Geum Ok Baek, et al.. (2025). CTC-537E7.3 as a Liver-Specific Biomarker for Hepatocellular Carcinoma: Diagnostic and Prognostic Implications. Current Issues in Molecular Biology. 47(7). 563–563.
3.
Mallesh, Shanigaram, S. Kavita, Jaewon Shim, Kummara Madhusudana Rao, & Young‐Woo Nam. (2025). Tailoring magnetic properties in soft/hard Sr0.25Fe2.75O4/Co0.4Fe2.6O4 nanocomposites. Ceramics International. 51(21). 32905–32918.
4.
Nguyen, L, Sung Sik Hur, Hyung Kwon Byeon, et al.. (2024). PIEZO1 activation may serve as an early tissue biomarker for the prediction of irradiation-induced salivary gland dysfunction. Biochemical and Biophysical Research Communications. 727. 150291–150291. 2 indexed citations
5.
Puspita, Lesly, et al.. (2024). Advances in human pluripotent stem cell reporter systems. iScience. 27(9). 110856–110856. 2 indexed citations
6.
Lee, Hyun-Chae, Jung Tak Park, Sung In Lim, et al.. (2024). LPS-induced systemic inflammation is suppressed by the PDZ motif peptide of ZO-1 via regulation of macrophage M1/M2 polarization. eLife. 13. 2 indexed citations
7.
Lee, Hyun-Chae, Jung Tak Park, Sung In Lim, et al.. (2024). LPS-induced systemic inflammation is suppressed by the PDZ motif peptide of ZO-1 via regulation of macrophage M1/M2 polarization. eLife. 13. 1 indexed citations
8.
Shim, Jaewon, et al.. (2022). Fuzzy Transform and Least-Squares Fuzzy Transform: Comparison and Application. International Journal of Fuzzy Systems. 24(6). 2740–2752. 2 indexed citations
9.
Puspita, Lesly, Youjin Oh, Panida Sittipo, et al.. (2021). Generation of caudal-type serotonin neurons and hindbrain-fate organoids from hPSCs. Stem Cell Reports. 16(8). 1938–1952. 47 indexed citations
10.
Jin, Yong-Ri, et al.. (2020). Canonical WNT/β-Catenin Signaling Activated by WNT9b and RSPO2 Cooperation Regulates Facial Morphogenesis in Mice. Frontiers in Cell and Developmental Biology. 8. 264–264. 11 indexed citations
11.
Rießland, Markus, Benjamin Kolisnyk, Tae Wan Kim, et al.. (2019). Loss of SATB1 Induces p21-Dependent Cellular Senescence in Post-mitotic Dopaminergic Neurons. Cell stem cell. 25(4). 514–530.e8. 124 indexed citations
12.
Puspita, Lesly, Sun Young Chung, & Jaewon Shim. (2017). Oxidative stress and cellular pathologies in Parkinson’s disease. Molecular Brain. 10(1). 53–53. 365 indexed citations breakdown →
13.
Bae, In‐Ho, Dae Sung Park, So‐Youn Lee, et al.. (2015). Effect of a novel peptide, WKYMVm- and sirolimus-coated stent on re-endothelialization and anti-restenosis. Journal of Materials Science Materials in Medicine. 26(10). 251–251. 17 indexed citations
14.
Yi, Tae Im, et al.. (2011). The Effects of Modified Low-Dye Taping in the Patient with Heel Pad Atrophy. Annals of Rehabilitation Medicine. 35(1). 96–100. 1 indexed citations
15.
Shim, Jaewon, Kang Nyeong Lee, Moon‐Jin Jeong, Sang‐Chul Jung, & Byung‐Hoon Kim. (2011). Hyaluronic Acid Immobilization on the Poly-Allylamine Coated Nano-Network TiO<SUB>2</SUB> Surface. Journal of Nanoscience and Nanotechnology. 11(8). 7343–7346. 1 indexed citations
17.
Chang, Mi‐Yoon, Woong Sun, Wataru Ochiai, et al.. (2007). Bcl-XL/Bax Proteins Direct the Fate of Embryonic Cortical Precursor Cells. Molecular and Cellular Biology. 27(12). 4293–4305. 33 indexed citations
18.
Park, Chang‐Hwan, Yang‐Ki Minn, Ji‐Yeon Lee, et al.. (2005). In vitroandin vivoanalyses of human embryonic stem cell‐derived dopamine neurons. Journal of Neurochemistry. 92(5). 1265–1276. 214 indexed citations
19.
Ahn, Joon‐Ik, Dong‐Mi Shin, Jaewon Shim, et al.. (2004). Temporal expression changes during differentiation of neural stem cells derived from mouse embryonic stem cell. Journal of Cellular Biochemistry. 93(3). 563–578. 24 indexed citations
20.
Ahn, Joon‐Ik, Ki-Hwan Lee, Dong‐Mi Shin, et al.. (2003). Comprehensive transcriptome analysis of differentiation of embryonic stem cells into midbrain and hindbrain neurons. Developmental Biology. 265(2). 491–501. 39 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026