Sang-A Park

523 total citations
10 papers, 419 citations indexed

About

Sang-A Park is a scholar working on Molecular Biology, Oncology and Astronomy and Astrophysics. According to data from OpenAlex, Sang-A Park has authored 10 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Astronomy and Astrophysics. Recurrent topics in Sang-A Park's work include TGF-β signaling in diseases (4 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Petri Nets in System Modeling (2 papers). Sang-A Park is often cited by papers focused on TGF-β signaling in diseases (4 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Petri Nets in System Modeling (2 papers). Sang-A Park collaborates with scholars based in South Korea, United States and Japan. Sang-A Park's co-authors include Jeong‐Seok Nam, Yhun Yhong Sheen, Dae‐Kee Kim, Dunfang Zhang, Wenwen Jin, Lee Jia, Junji Xu, Alexander Cain, Peter Zanvit and Eric Tu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and Journal of High Energy Physics.

In The Last Decade

Sang-A Park

10 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sang-A Park South Korea	5	180	128	105	56	41	10	419
Tamara Djurić Serbia	13	134 0.7×	85 0.7×	98 0.9×	122 2.2×	36 0.9×	52	409
Jennyfer Bultinck Belgium	9	235 1.3×	131 1.0×	115 1.1×	36 0.6×	38 0.9×	11	411
Jiao Wang China	13	152 0.8×	183 1.4×	72 0.7×	38 0.7×	44 1.1×	37	621
Enrique Colado Spain	16	241 1.3×	159 1.2×	165 1.6×	59 1.1×	62 1.5×	35	683
Ismael D.C.G. Silva Brazil	11	171 0.9×	153 1.2×	105 1.0×	118 2.1×	66 1.6×	17	533
Jon Lecanda Spain	12	294 1.6×	226 1.8×	84 0.8×	81 1.4×	33 0.8×	16	528
Yangzhige He China	10	288 1.6×	104 0.8×	56 0.5×	97 1.7×	62 1.5×	21	527
Bhaskar Kallakury United States	13	178 1.0×	107 0.8×	76 0.7×	86 1.5×	69 1.7×	32	529
Junyi Guo China	13	152 0.8×	147 1.1×	172 1.6×	53 0.9×	35 0.9×	35	432

Countries citing papers authored by Sang-A Park

Since Specialization

Citations

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

Fields of papers citing papers by Sang-A Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang-A Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-A Park. A scholar is included among the top collaborators of Sang-A 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 Sang-A Park. Sang-A Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Park, Sang-A, et al.. (2025). A Bayesian network model integrating data and expert insights for fishing ship risk assessment. SHILAP Revista de lepidopterología. 8. 100128–100128. 1 indexed citations

Park, Sang-A, et al.. (2023). Supersymmetric backgrounds in (1 + 1) dimensions and inhomogeneous field theory. Journal of High Energy Physics. 2023(11). 4 indexed citations

Park, Sang-A, et al.. (2023). Toward quantization of inhomogeneous field theory. The European Physical Journal Plus. 138(3). 4 indexed citations

Zhang, Dunfang, Wenwen Jin, Ruiqing Wu, et al.. (2019). High Glucose Intake Exacerbates Autoimmunity through Reactive-Oxygen-Species-Mediated TGF-β Cytokine Activation. Immunity. 51(4). 671–681.e5. 208 indexed citations

Park, Sang-A, Min‐Jin Kim, So-Yeon Park, et al.. (2018). TIMP-1 mediates TGF-beta-dependent crosstalk between hepatic stellate and cancer cells via FAK signaling. 5. 6 indexed citations

Kim, Min‐Jin, Sang-A Park, So-Yeon Park, et al.. (2016). TGF-β Type I Receptor Kinase Inhibitor EW-7197 Suppresses Cholestatic Liver Fibrosis by Inhibiting HIF1α-Induced Epithelial Mesenchymal Transition. Cellular Physiology and Biochemistry. 38(2). 571–588. 47 indexed citations

Park, So‐Yeon, Sang-A Park, Jung‐Shin Kim, et al.. (2015). Combinatorial TGF-β attenuation with paclitaxel inhibits the epithelial-to-mesenchymal transition and breast cancer stem-like cells. Oncotarget. 6(35). 37526–37543. 55 indexed citations

Son, Ji Yeon, So-Yeon Park, Sang-A Park, et al.. (2014). EW-7197, a Novel ALK-5 Kinase Inhibitor, Potently Inhibits Breast to Lung Metastasis. Molecular Cancer Therapeutics. 13(7). 1704–1716. 91 indexed citations

Yang, Jung–Min & Sang-A Park. (2008). Schedulability Analysis of Periodic and Sporadic Tasks Using a Timed Discrete Event Model with Memorable Events. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E91-A(10). 3076–3079. 1 indexed citations

10.

Park, Sang-A. (2005). Robust Supervisory Control of Uncertain Timed Discrete Event Systems Based on Activity Models and Eligible Time Bounds. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E88-A(3). 782–786. 2 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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