Sang J. Chung

3.7k total citations · 1 hit paper
121 papers, 3.0k citations indexed

About

Sang J. Chung is a scholar working on Molecular Biology, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Sang J. Chung has authored 121 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 19 papers in Organic Chemistry and 17 papers in Materials Chemistry. Recurrent topics in Sang J. Chung's work include Protein Tyrosine Phosphatases (20 papers), Advanced biosensing and bioanalysis techniques (18 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Sang J. Chung is often cited by papers focused on Protein Tyrosine Phosphatases (20 papers), Advanced biosensing and bioanalysis techniques (18 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Sang J. Chung collaborates with scholars based in South Korea, India and United States. Sang J. Chung's co-authors include Hyo Jin Kang, Ravi Mani Tripathi, Bong Hyun Chung, Gregory L. Verdine, Kwang‐Hee Bae, Do-Hee Ahn, Eun‐Kyung Lim, Tae‐Il Kim, Youngmi Kim and Sun‐Young Yoon and has published in prestigious journals such as Cell, Advanced Materials and Nature Communications.

In The Last Decade

Sang J. Chung

118 papers receiving 2.9k citations

Hit Papers

A Lactate-Induced Response to Hypoxia 2015 2026 2018 2022 2015 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
Sang J. Chung South Korea 30 1.7k 567 403 364 336 121 3.0k
Yoshihiro Uto Japan 31 1.3k 0.8× 312 0.6× 598 1.5× 474 1.3× 366 1.1× 161 3.3k
Lijuan Zhang China 29 2.2k 1.3× 333 0.6× 426 1.1× 180 0.5× 525 1.6× 99 3.1k
Xiao Luo China 30 1.6k 1.0× 738 1.3× 612 1.5× 182 0.5× 405 1.2× 134 3.2k
Tongsheng Chen China 31 1.2k 0.7× 410 0.7× 628 1.6× 160 0.4× 178 0.5× 142 2.6k
Jianping Lin China 34 2.2k 1.3× 316 0.6× 510 1.3× 554 1.5× 135 0.4× 125 3.7k
Shuai Lü China 31 1.2k 0.7× 426 0.8× 171 0.4× 414 1.1× 267 0.8× 144 2.9k
Bjørn Dalhus Norway 34 2.2k 1.3× 400 0.7× 396 1.0× 300 0.8× 123 0.4× 94 3.4k
Jingyan Ge China 30 1.4k 0.8× 353 0.6× 374 0.9× 588 1.6× 106 0.3× 99 2.4k
Hyun‐Woo Rhee South Korea 29 2.9k 1.7× 583 1.0× 503 1.2× 903 2.5× 193 0.6× 82 4.5k

Countries citing papers authored by Sang J. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sang J. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang J. Chung. 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 J. Chung. The network helps show where Sang J. Chung may publish in the future.

Co-authorship network of co-authors of Sang J. Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Sang J. Chung. A scholar is included among the top collaborators of Sang J. Chung 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 J. Chung. Sang J. Chung 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.
Seo, Jin-Woo, Sun Hee Park, Jinyoung Kim, et al.. (2025). Balancing Reactivity and Specificity: Fc-Binding O-Acyl Hydroxamate Reagents for Site-Selective Antibody Labeling at Lys248. Organic Letters. 27(22). 5665–5668. 2 indexed citations
2.
Koo, Han, Kyung Chan Park, Hyun Ahm Sohn, et al.. (2025). Anti-proteolytic regulation of KRAS by USP9X/NDRG3 in KRAS-driven cancer development. Nature Communications. 16(1). 628–628. 1 indexed citations
3.
Chung, Sang J., et al.. (2025). Site-Selective Anti-PD-L1 Antibody–MMAE Conjugate for Enhanced NSCLC Therapy. ACS Medicinal Chemistry Letters. 16(6). 1131–1138. 1 indexed citations
4.
Kim, Ki Hyun, Ju Hwan Kim, Min Ju Kang, et al.. (2024). Improved safety of chimeric antigen receptor T cells indirectly targeting antigens via switchable adapters. Nature Communications. 15(1). 9917–9917. 9 indexed citations
5.
Kim, Hye Min, et al.. (2024). Exploring the Anti-Diabetic Potential of Quercetagitrin through Dual Inhibition of PTPN6 and PTPN9. Nutrients. 16(5). 647–647. 3 indexed citations
6.
Jeong, Myeong Seon, Sun Hee Park, Sang J. Chung, et al.. (2024). Comparative Analysis of Symmetry Parameters in the E2 Inner Core of the Pyruvate Dehydrogenase Complex. International Journal of Molecular Sciences. 25(24). 13731–13731. 1 indexed citations
7.
Lee, Tae‐Jin, Jin-Woo Seo, Sun Hee Park, et al.. (2022). Site-Selective Antibody–Drug Conjugation by a Proximity-Driven S to N Acyl Transfer Reaction on a Therapeutic Antibody. Journal of Medicinal Chemistry. 65(7). 5751–5759. 23 indexed citations
8.
Ahn, Do-Hee, et al.. (2022). Structure–Activity Relationship of Synthetic Ginkgolic Acid Analogs for Treating Type 2 Diabetes by PTPN9 Inhibition. International Journal of Molecular Sciences. 23(7). 3927–3927. 6 indexed citations
9.
Ahn, Do-Hee, et al.. (2022). Ethyl Gallate Dual-Targeting PTPN6 and PPARγ Shows Anti-Diabetic and Anti-Obese Effects. International Journal of Molecular Sciences. 23(9). 5020–5020. 19 indexed citations
10.
Yoon, Sun‐Young, et al.. (2021). Nepetin Acts as a Multi‐Targeting Inhibitor of Protein Tyrosine Phosphatases Relevant to Insulin Resistance. Chemistry & Biodiversity. 19(1). e202100600–e202100600. 6 indexed citations
11.
Sharma, Chiranjeev, et al.. (2021). Protein tyrosine phosphatases (PTPs) in diabetes: causes and therapeutic opportunities. Archives of Pharmacal Research. 44(3). 310–321. 19 indexed citations
12.
Yoon, Sun‐Young, Jae Sik Yu, Ji Young Hwang, et al.. (2021). Phloridzin Acts as an Inhibitor of Protein-Tyrosine Phosphatase MEG2 Relevant to Insulin Resistance. Molecules. 26(6). 1612–1612. 7 indexed citations
13.
Tripathi, Ravi Mani & Sang J. Chung. (2021). Eco-Friendly Synthesis of SnO2-Cu Nanocomposites and Evaluation of Their Peroxidase Mimetic Activity. Nanomaterials. 11(7). 1798–1798. 21 indexed citations
14.
Han, Anpan, et al.. (2020). A FRET‐Based Fluorescent Probe to Screen Anticancer Drugs, Inhibiting p73 Binding to MDM2. ChemBioChem. 22(5). 830–833. 1 indexed citations
15.
Tripathi, Ravi Mani & Sang J. Chung. (2020). Phytosynthesis of Palladium Nanoclusters: An Efficient Nanozyme for Ultrasensitive and Selective Detection of Reactive Oxygen Species. Molecules. 25(15). 3349–3349. 27 indexed citations
16.
Lee, Tae‐Jin, et al.. (2020). Photoconjugation of an Fc-Specific Peptide Enables Efficient DAR 2 Antibody–Drug Conjugate Formation. Organic Letters. 22(21). 8419–8423. 5 indexed citations
17.
Ghosh, Prithwish, Na Yeon Kwon, Sangil Han, et al.. (2019). Site-Selective C–H Alkylation of Diazine N-Oxides Enabled by Phosphonium Ylides. Organic Letters. 21(16). 6488–6493. 27 indexed citations
18.
Yoon, Sun‐Young, et al.. (2019). Identification of Vaccinia‐H1 Related Phosphatase as an Anticancer Target for 1,2,3,4,6‐O‐Pentagalloylglucose. Chemistry & Biodiversity. 17(2). e1900414–e1900414. 5 indexed citations
19.
Lee, Dong Chul, Hyun Ahm Sohn, Zee‐Yong Park, et al.. (2015). A Lactate-Induced Response to Hypoxia. Cell. 161(3). 595–609. 393 indexed citations breakdown →
20.
Lee, Kyeong, Jung Su Ryu, Yinglan Jin, et al.. (2007). Synthesis and anticancer activity of geldanamycin derivatives derived from biosynthetically generated metabolites. Organic & Biomolecular Chemistry. 6(2). 340–348. 29 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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