Soosung Kang

1.8k total citations
54 papers, 1.4k citations indexed

About

Soosung Kang is a scholar working on Molecular Biology, Organic Chemistry and Physiology. According to data from OpenAlex, Soosung Kang has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 17 papers in Organic Chemistry and 10 papers in Physiology. Recurrent topics in Soosung Kang's work include Nitric Oxide and Endothelin Effects (10 papers), Heat shock proteins research (8 papers) and ATP Synthase and ATPases Research (7 papers). Soosung Kang is often cited by papers focused on Nitric Oxide and Endothelin Effects (10 papers), Heat shock proteins research (8 papers) and ATP Synthase and ATPases Research (7 papers). Soosung Kang collaborates with scholars based in South Korea, United States and Malaysia. Soosung Kang's co-authors include Richard B. Silverman, D. James Surmeier, Maris A. Cinelli, Sara F. Dunne, Garry Cooper, Paramita Mukherjee, T.L. Poulos, Chi-Hao Luan, Sun Choi and Shaherin Basith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Soosung Kang

53 papers receiving 1.4k citations

Peers

Soosung Kang
Fengtian Xue United States
Andrew D. White United States
Paul C. Trippier United States
David A. Griffith United States
Dong Jin Kim South Korea
Steven H. Olson United States
Kang Cheng United States
Timothy J. Hagen United States
Fengtian Xue United States
Soosung Kang
Citations per year, relative to Soosung Kang Soosung Kang (= 1×) peers Fengtian Xue

Countries citing papers authored by Soosung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Soosung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soosung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Soosung Kang. A scholar is included among the top collaborators of Soosung Kang 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 Soosung Kang. Soosung Kang 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, Eun Jeong, Sol Lee, Hyun Young Jung, et al.. (2025). Targeting Autotaxin with imidazole- and Triazolyl-based inhibitors: Biological insights from in vitro and in vivo studies in pulmonary fibrosis. Bioorganic Chemistry. 160. 108426–108426.
2.
Shaker, Bilal, Sunghwan Choi, Shaherin Basith, et al.. (2025). Employing Automated Machine Learning (AutoML) Methods to Facilitate the In Silico ADMET Properties Prediction. Journal of Chemical Information and Modeling. 65(7). 3215–3225. 5 indexed citations
3.
Kim, Hyun‐Young, Hee Jin Jung, Sang Gyun Noh, et al.. (2023). Tsaokoic Acid: A New Bicyclic Nonene from the Fruits of Amomum tsao-ko with Acetylcholinesterase Inhibitory Activity. Molecules. 28(6). 2602–2602. 2 indexed citations
4.
Kang, Byoung Heon, et al.. (2022). Triphenylphosphonium conjugation to a TRAP1 inhibitor, 2-amino-6-chloro-7,9-dihydro-8H-purin-8-one increases antiproliferative activity. Bioorganic Chemistry. 126. 105856–105856. 10 indexed citations
5.
Shin, Dong Hae, et al.. (2022). Meclizine, a piperazine-derivative antihistamine, binds to dimerized translationally controlled tumor protein and attenuates allergic reactions in a mouse model. Biomedicine & Pharmacotherapy. 157. 114072–114072. 7 indexed citations
6.
Hoang, Van-Hai, Soosung Kang, Hee-Jin Ha, et al.. (2022). Discovery of potent indazole-based human glutaminyl cyclase (QC) inhibitors as Anti-Alzheimer's disease agents. European Journal of Medicinal Chemistry. 244. 114837–114837. 9 indexed citations
7.
Hu, S, Ki Bum Hong, Ji Hoon Lee, et al.. (2021). Mitoquinone Inactivates Mitochondrial Chaperone TRAP1 by Blocking the Client Binding Site. Journal of the American Chemical Society. 143(47). 19684–19696. 25 indexed citations
8.
Kim, Dongyoung, Ki Bum Hong, Changwook Lee, et al.. (2020). Development of pyrazolo[3,4-d]pyrimidine-6-amine-based TRAP1 inhibitors that demonstrate in vivo anticancer activity in mouse xenograft models. Bioorganic Chemistry. 101. 103901–103901. 14 indexed citations
9.
Lee, Song-Yi, Hyun‐Joo Kim, Ayaz Najafov, et al.. (2019). Casein kinase-1γ1 and 3 stimulate tumor necrosis factor-induced necroptosis through RIPK3. Cell Death and Disease. 10(12). 923–923. 28 indexed citations
10.
Park, Hyun‐Jun, Young‐Do Kwon, Jae Ho Jung, et al.. (2019). Synthesis and evaluation of novel potent TSPO PET ligands with 2-phenylpyrazolo[1,5-a]pyrimidin-3-yl acetamide. Bioorganic & Medicinal Chemistry. 27(18). 4069–4080. 13 indexed citations
11.
Macalino, Stephani Joy Y., et al.. (2018). Evolution of In Silico Strategies for Protein-Protein Interaction Drug Discovery. Molecules. 23(8). 1963–1963. 70 indexed citations
12.
Li, Huiying, et al.. (2016). Electrostatic Control of Isoform Selective Inhibitor Binding in Nitric Oxide Synthase. Biochemistry. 55(26). 3702–3707. 43 indexed citations
13.
Holden, Jeffrey K., Soosung Kang, Federico C. Beasley, et al.. (2015). Nitric Oxide Synthase as a Target for Methicillin-Resistant Staphylococcus aureus. Chemistry & Biology. 22(6). 785–792. 17 indexed citations
14.
Mukherjee, Paramita, Maris A. Cinelli, Soosung Kang, & Richard B. Silverman. (2014). Development of nitric oxide synthase inhibitors for neurodegeneration and neuropathic pain. Chemical Society Reviews. 43(19). 6814–6838. 125 indexed citations
15.
Kang, Soosung, Garry Cooper, Sara F. Dunne, et al.. (2013). Antagonism of L-type Ca2+ channels CaV1.3 and CaV1.2 by 1,4-dihydropyrimidines and 4H-pyrans as dihydropyridine mimics. Bioorganic & Medicinal Chemistry. 21(14). 4365–4373. 38 indexed citations
16.
Holden, Jeffrey K., Huiying Li, Qing Jing, et al.. (2013). Structural and biological studies on bacterial nitric oxide synthase inhibitors. Proceedings of the National Academy of Sciences. 110(45). 18127–18131. 40 indexed citations
17.
John, Sarah E. St., et al.. (2013). Design, synthesis, biological and structural evaluation of functionalized resveratrol analogues as inhibitors of quinone reductase 2. Bioorganic & Medicinal Chemistry. 21(19). 6022–6037. 19 indexed citations
18.
Kang, Soosung, Garry Cooper, Sara F. Dunne, et al.. (2012). CaV1.3-selective L-type calcium channel antagonists as potential new therapeutics for Parkinson's disease. Nature Communications. 3(1). 1146–1146. 136 indexed citations
19.
Cao, Song, Soosung Kang, Xinyong Tian, et al.. (2010). Antagonism of 4-substituted 1,4-dihydropyridine-3,5-dicarboxylates toward voltage-dependent L-type Ca2+ channels CaV1.3 and CaV1.2. Bioorganic & Medicinal Chemistry. 18(9). 3147–3158. 49 indexed citations
20.
Kang, Soosung, et al.. (2008). Synthesis and biological evaluation of a library of resveratrol analogues as inhibitors of COX-1, COX-2 and NF-κB. Bioorganic & Medicinal Chemistry. 17(3). 1044–1054. 79 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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