Dongkwan Shin

517 total citations
20 papers, 358 citations indexed

About

Dongkwan Shin is a scholar working on Molecular Biology, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Dongkwan Shin has authored 20 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cognitive Neuroscience and 2 papers in Computer Networks and Communications. Recurrent topics in Dongkwan Shin's work include Gene Regulatory Network Analysis (8 papers), Neural dynamics and brain function (5 papers) and Bioinformatics and Genomic Networks (5 papers). Dongkwan Shin is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), Neural dynamics and brain function (5 papers) and Bioinformatics and Genomic Networks (5 papers). Dongkwan Shin collaborates with scholars based in South Korea, United States and United Kingdom. Dongkwan Shin's co-authors include Kwang‐Hyun Cho, Seok‐Hyung Kim, Keun‐Woo Lee, So-Young Yeo, Sang‐Min Park, Sung Hoon Jung, Jeong‐Rae Kim, J. S. Heslop‐Harrison, Dongsan Kim and Jong‐Hoon Lee and has published in prestigious journals such as Advanced Materials, Nature Communications and Bioinformatics.

In The Last Decade

Dongkwan Shin

17 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongkwan Shin South Korea 12 183 66 46 39 30 20 358
Mathias Luidor Heltberg Denmark 10 219 1.2× 34 0.5× 24 0.5× 15 0.4× 19 0.6× 23 336
Hojjat Bazzazi United States 13 406 2.2× 25 0.4× 41 0.9× 40 1.0× 45 1.5× 24 650
Richard G. Absher United States 10 201 1.1× 46 0.7× 31 0.7× 16 0.4× 22 0.7× 19 424
Xiangyu Ma China 12 129 0.7× 19 0.3× 26 0.6× 44 1.1× 40 1.3× 34 340
Linzhi Zou China 8 250 1.4× 48 0.7× 30 0.7× 50 1.3× 34 1.1× 8 422
Mohsin Shahzad Pakistan 13 355 1.9× 51 0.8× 17 0.4× 53 1.4× 13 0.4× 30 668
Yongbin Chen China 11 233 1.3× 53 0.8× 28 0.6× 94 2.4× 12 0.4× 35 457
Matthew Smith United States 8 133 0.7× 42 0.6× 47 1.0× 65 1.7× 24 0.8× 20 362
Marcia Roy United Kingdom 12 286 1.6× 35 0.5× 31 0.7× 26 0.7× 54 1.8× 13 489
Su Kim South Korea 13 119 0.7× 39 0.6× 39 0.8× 63 1.6× 19 0.6× 49 584

Countries citing papers authored by Dongkwan Shin

Since Specialization
Citations

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

Fields of papers citing papers by Dongkwan Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongkwan Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Dongkwan Shin. A scholar is included among the top collaborators of Dongkwan Shin 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 Dongkwan Shin. Dongkwan Shin 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, Minah, Jong‐Hyeon Lee, Hyungseok Jang, et al.. (2025). Tousled-like kinase loss confers PARP inhibitor resistance in BRCA1-mutated cancers by impeding non-homologous end joining repair. Molecular Medicine. 31(1). 18–18. 3 indexed citations
2.
Shin, Dongkwan, et al.. (2025). Attractor Landscape Analysis Reveals a Reversion Switch in the Transition of Colorectal Tumorigenesis. Advanced Science. 12(8). e2412503–e2412503.
3.
Jeong, Hana, Jin‐Kyung Lee, Minsu Kang, et al.. (2025). ULK1 knockout suppresses pancreatic cancer progression by inhibiting autophagy and enhancing antitumor immunity. Experimental & Molecular Medicine. 57(12). 2816–2832.
4.
Kong, Sun‐Young, Youngwook Kim, Yu‐Sun Lee, et al.. (2025). Organoid morphology-guided classification for oral cancer reveals prognosis. Cell Reports Medicine. 6(5). 102129–102129. 5 indexed citations
5.
6.
Shin, Dongkwan, et al.. (2024). Contrastive learning for enhancing feature extraction in anticancer peptides. Briefings in Bioinformatics. 25(3). 7 indexed citations
7.
Shin, Dongkwan & Kwang‐Hyun Cho. (2023). Critical transition and reversion of tumorigenesis. Experimental & Molecular Medicine. 55(4). 692–705. 17 indexed citations
8.
Shin, Dongkwan, et al.. (2021). Molecular Dynamics Simulation to Uncover the Mechanisms of Protein Instability During Freezing. Journal of Pharmaceutical Sciences. 110(6). 2457–2471. 28 indexed citations
9.
Park, Sang‐Min, et al.. (2020). Realizing Cancer Precision Medicine by Integrating Systems Biology and Nanomaterial Engineering. Advanced Materials. 32(35). e1906783–e1906783. 29 indexed citations
10.
Shin, Dongkwan, et al.. (2018). Combined Positive and Negative Feedback Allows Modulation of Neuronal Oscillation Frequency during Sensory Processing. Cell Reports. 25(6). 1548–1560.e3. 21 indexed citations
11.
Yeo, So-Young, et al.. (2018). A positive feedback loop bi-stably activates fibroblasts. Nature Communications. 9(1). 3016–3016. 82 indexed citations
12.
Kim, Yunseong, et al.. (2017). Quantitative evaluation and reversion analysis of the attractor landscapes of an intracellular regulatory network for colorectal cancer. BMC Systems Biology. 11(1). 45–45. 14 indexed citations
13.
Shin, Dongkwan, et al.. (2017). Percolation transition of cooperative mutational effects in colorectal tumorigenesis. Nature Communications. 8(1). 1270–1270. 20 indexed citations
14.
Cho, Kwang‐Hyun, et al.. (2017). Cancer reversion, a renewed challenge in systems biology. Current Opinion in Systems Biology. 2. 49–58. 19 indexed citations
15.
Cho, Kwang‐Hyun, et al.. (2016). The reverse control of irreversible biological processes. WIREs Systems Biology and Medicine. 8(5). 366–377. 19 indexed citations
16.
Shin, Dongkwan & Kwang‐Hyun Cho. (2013). Recurrent connections form a phase-locking neuronal tuner for frequency-dependent selective communication. Scientific Reports. 3(1). 2519–2519. 6 indexed citations
17.
Noh, Kyungchul, Kyung Soon Shin, Dongkwan Shin, et al.. (2013). Impaired coupling of local and global functional feedbacks underlies abnormal synchronization and negative symptoms of schizophrenia. BMC Systems Biology. 7(1). 30–30. 6 indexed citations
18.
Jhung, Kyungun, Sung‐Hwan Cho, Jin Young Park, et al.. (2012). Small-world networks in individuals at ultra-high risk for psychosis and first-episode schizophrenia during a working memory task. Neuroscience Letters. 535. 35–39. 24 indexed citations
19.
Shin, Dongkwan, et al.. (2012). Identification of feedback loops in neural networks based on multi-step Granger causality. Bioinformatics. 28(16). 2146–2153. 13 indexed citations
20.
Kim, Jeong‐Rae, Dongkwan Shin, Sung Hoon Jung, J. S. Heslop‐Harrison, & Kwang‐Hyun Cho. (2010). A design principle underlying the synchronization of oscillations in cellular systems. Journal of Cell Science. 123(4). 537–543. 45 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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