Sunjoo Ahn

1.6k total citations
58 papers, 1.2k citations indexed

About

Sunjoo Ahn is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Sunjoo Ahn has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 21 papers in Oncology and 12 papers in Organic Chemistry. Recurrent topics in Sunjoo Ahn's work include Cancer therapeutics and mechanisms (12 papers), Synthesis and biological activity (10 papers) and Drug Transport and Resistance Mechanisms (10 papers). Sunjoo Ahn is often cited by papers focused on Cancer therapeutics and mechanisms (12 papers), Synthesis and biological activity (10 papers) and Drug Transport and Resistance Mechanisms (10 papers). Sunjoo Ahn collaborates with scholars based in South Korea, United States and India. Sunjoo Ahn's co-authors include James T. Dalton, Duane D. Miller, Wěi Li, Jianjun Chen, Yan Lü, Jin Wang, Jin Sook Song, Chien-Ming Li, Kwang‐Seok Oh and Jae Yong Ryu and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Sunjoo Ahn

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunjoo Ahn South Korea 21 568 433 269 111 100 58 1.2k
J.C. Nwachukwu United States 20 550 1.0× 187 0.4× 168 0.6× 145 1.3× 61 0.6× 33 1.2k
Barbara Becattini Sweden 19 1.2k 2.1× 207 0.5× 201 0.7× 145 1.3× 58 0.6× 32 1.9k
Chen Yao China 21 643 1.1× 320 0.7× 101 0.4× 44 0.4× 61 0.6× 77 1.4k
Elisabetta Barresi Italy 24 649 1.1× 472 1.1× 315 1.2× 77 0.7× 33 0.3× 77 1.4k
Germán A. Gil Argentina 15 498 0.9× 74 0.2× 177 0.7× 113 1.0× 59 0.6× 27 918
Chia‐Hwa Lee Taiwan 23 1.1k 2.0× 181 0.4× 311 1.2× 28 0.3× 103 1.0× 63 1.8k
Lisa A. Paige United States 10 1.0k 1.8× 92 0.2× 228 0.8× 127 1.1× 54 0.5× 13 1.6k
Jinghua Yu China 22 764 1.3× 141 0.3× 593 2.2× 44 0.4× 64 0.6× 75 1.7k
Cristina Trejo‐Solís Mexico 18 460 0.8× 128 0.3× 243 0.9× 31 0.3× 62 0.6× 37 1.1k
Маргарита Е. Неганова Russia 20 708 1.2× 290 0.7× 153 0.6× 80 0.7× 77 0.8× 103 1.4k

Countries citing papers authored by Sunjoo Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sunjoo Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunjoo Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Sunjoo Ahn. A scholar is included among the top collaborators of Sunjoo Ahn 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 Sunjoo Ahn. Sunjoo Ahn 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.
Kwon, Eun‐Bin, Jae‐Won Lee, Jiyoon Park, et al.. (2025). Chiisanogenin enhances glucose uptake and lowers blood glucose via insulin signaling activation. Biomedicine & Pharmacotherapy. 189. 118281–118281. 1 indexed citations
2.
Lim, Jong‐Seok, et al.. (2024). Energy‑stress‑mediated activation of AMPK sensitizes MPS1 kinase inhibition in triple‑negative breast cancer. Oncology Reports. 52(2). 1 indexed citations
3.
Jung, Won Beom, Geun Ho Im, Wangyong Shin, et al.. (2024). Anterior cingulate cortex-related functional hyperconnectivity underlies sensory hypersensitivity in Grin2b-mutant mice. Molecular Psychiatry. 29(10). 3195–3207. 10 indexed citations
4.
Jang, Woo Dae, et al.. (2023). PredPS: Attention-based graph neural network for predicting stability of compounds in human plasma. Computational and Structural Biotechnology Journal. 21. 3532–3539. 6 indexed citations
5.
Lim, Byungho, Rebecca J. Boohaker, Kyungjin Cho, et al.. (2023). Integrative Analyses Reveal the Anticancer Mechanisms and Sensitivity Markers of the Next-Generation Hypomethylating Agent NTX-301. Cancers. 15(6). 1737–1737. 2 indexed citations
6.
Kim, Doyoun, Kyungdeok Kim, Junyeop Daniel Roh, et al.. (2022). Early postnatal serotonin modulation prevents adult-stage deficits in Arid1b-deficient mice through synaptic transcriptional reprogramming. Nature Communications. 13(1). 5051–5051. 12 indexed citations
7.
Song, Jin Sook, et al.. (2022). Pharmacokinetics and Tissue Distribution of 13C-Labeled Succinic Acid in Mice. Nutrients. 14(22). 4757–4757. 2 indexed citations
8.
Oh, Eun Hye, Eunhye Jung, Yeon Hee Lee, et al.. (2022). Discovery and synthesis of 1,2,4-oxadiazole derivatives as novel inhibitors of Zika, dengue, Japanese encephalitis, and classical swine fever virus infections. Archives of Pharmacal Research. 45(4). 280–293. 9 indexed citations
9.
Kang, Chung Hyo, Sang Un Choi, You Hwa Son, et al.. (2020). Discovery of a Novel Chemical Scaffold Against Mutant Isocitrate Dehydrogenase 1 (IDH1). Anticancer Research. 40(9). 4929–4935. 5 indexed citations
10.
Kim, Seong Soon, Kyu-Seok Hwang, Jung Yoon Yang, et al.. (2019). Neurochemical and behavioral analysis by acute exposure to bisphenol A in zebrafish larvae model. Chemosphere. 239. 124751–124751. 69 indexed citations
11.
Lee, Hwan Hee, Sunjoo Ahn, Myung Ae Bae, et al.. (2019). A validated UPLC-MS/MS method for pharmacokinetic study of inflachromene, a novel microglia inhibitor. Journal of Pharmaceutical and Biomedical Analysis. 166. 183–188. 2 indexed citations
12.
Kim, Seong Soon, Jung Yoon Yang, Yu‐Ri Lee, et al.. (2017). Zebrafish as a Screening Model for Testing the Permeability of Blood–Brain Barrier to Small Molecules. Zebrafish. 14(4). 322–330. 44 indexed citations
13.
Lee, Joo‐Youn, Ji‐Eun Jeong, Mi‐Ok Kim, et al.. (2017). Synthesis and Molecular Modeling Studies of N′-Hydroxyindazolecarboximidamides as Novel Indoleamine 2,3-Dioxygenase 1 (IDO1) Inhibitors. Molecules. 22(11). 1936–1936. 7 indexed citations
14.
Chun, Hang‐Suk, Sun Hye Shin, Sunjoo Ahn, et al.. (2014). KR-62980 Suppresses Lipid Metabolism Through Inhibition of Cytosolic NADP Isocitrate Dehydrogenase in Zebrafish. Zebrafish. 11(2). 122–128. 5 indexed citations
15.
Narayanan, Ramesh, Sunjoo Ahn, Muralimohan Yepuru, et al.. (2014). Selective Androgen Receptor Modulators (SARMs) Negatively Regulate Triple-Negative Breast Cancer Growth and Epithelial:Mesenchymal Stem Cell Signaling. PLoS ONE. 9(7). e103202–e103202. 47 indexed citations
16.
17.
Ni, Wenjun, Jia Ji, Zunyan Dai, et al.. (2010). Flavopiridol Pharmacogenetics: Clinical and Functional Evidence for the Role of SLCO1B1/OATP1B1 in Flavopiridol Disposition. PLoS ONE. 5(11). e13792–e13792. 43 indexed citations
18.
Li, Chien‐Ming, Yan Lü, Sunjoo Ahn, et al.. (2010). Competitive mass spectrometry binding assay for characterization of three binding sites of tubulin. Journal of Mass Spectrometry. 45(10). 1160–1166. 20 indexed citations
19.
Morgan, Rachel, Sunjoo Ahn, Jean Fotie, et al.. (2008). Inhibitors of Tubulin Assembly Identified through Screening a Compound Library. Chemical Biology & Drug Design. 72(6). 513–524. 19 indexed citations
20.

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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