Sejin Chung

505 total citations
10 papers, 392 citations indexed

About

Sejin Chung is a scholar working on Oncology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Sejin Chung has authored 10 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Biomedical Engineering and 3 papers in Materials Chemistry. Recurrent topics in Sejin Chung's work include Pancreatic and Hepatic Oncology Research (4 papers), Advanced Breast Cancer Therapies (2 papers) and Conducting polymers and applications (2 papers). Sejin Chung is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Advanced Breast Cancer Therapies (2 papers) and Conducting polymers and applications (2 papers). Sejin Chung collaborates with scholars based in United States, South Korea and France. Sejin Chung's co-authors include Erik S. Knudsen, Paris Vail, Agnieszka K. Witkiewicz, J.‐I. Jin, Christopher J. Lord, Rachel Brough, Jorge Franco, F. Hardouin, M. F. Achard and Mitchell A. Winnik and has published in prestigious journals such as Advanced Functional Materials, The Journal of Physical Chemistry B and Cancer Research.

In The Last Decade

Sejin Chung

9 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sejin Chung United States 8 144 104 103 85 69 10 392
Shibo Qi China 12 91 0.6× 188 1.8× 168 1.6× 58 0.7× 32 0.5× 21 610
Shuyang Yao China 10 72 0.5× 174 1.7× 60 0.6× 58 0.7× 41 0.6× 20 402
Valérie Humblet United States 10 98 0.7× 190 1.8× 91 0.9× 137 1.6× 67 1.0× 12 576
Meng Zhuang China 12 85 0.6× 145 1.4× 200 1.9× 52 0.6× 23 0.3× 33 471
Vura Bala Subrahmanyam South Korea 9 100 0.7× 81 0.8× 158 1.5× 25 0.3× 24 0.3× 10 408
Takayuki Morimoto Japan 15 189 1.3× 114 1.1× 114 1.1× 36 0.4× 91 1.3× 58 648
Sven H. Hausner United States 18 312 2.2× 76 0.7× 255 2.5× 65 0.8× 36 0.5× 33 966
S.G. Sreerama United States 13 162 1.1× 118 1.1× 103 1.0× 36 0.4× 115 1.7× 16 552
Xuanrong Chen China 11 82 0.6× 62 0.6× 178 1.7× 94 1.1× 19 0.3× 30 403
Anjali Yadav India 11 51 0.4× 130 1.3× 130 1.3× 66 0.8× 29 0.4× 26 485

Countries citing papers authored by Sejin Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sejin Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sejin Chung

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

All Works

10 of 10 papers shown
1.
Chung, Sejin, et al.. (2022). Abstract C045: CA19-9-mediated remodeling of the pancreatic tumor microenvironment. Cancer Research. 82(22_Supplement). C045–C045.
2.
Knudsen, Erik S., Vishnu Kumarasamy, Sejin Chung, et al.. (2020). Targeting dual signalling pathways in concert with immune checkpoints for the treatment of pancreatic cancer. Gut. 70(1). 127–138. 59 indexed citations
3.
Knudsen, Erik S., Vishnu Kumarasamy, Jared Sivinski, et al.. (2019). Cell cycle plasticity driven by MTOR signaling: integral resistance to CDK4/6 inhibition in patient-derived models of pancreatic cancer. Oncogene. 38(18). 3355–3370. 46 indexed citations
4.
Chung, Sejin, Paris Vail, Agnieszka K. Witkiewicz, & Erik S. Knudsen. (2018). Coordinately Targeting Cell-Cycle Checkpoint Functions in Integrated Models of Pancreatic Cancer. Clinical Cancer Research. 25(7). 2290–2304. 26 indexed citations
5.
Witkiewicz, Agnieszka K., Sejin Chung, Rachel Brough, et al.. (2018). Targeting the Vulnerability of RB Tumor Suppressor Loss in Triple-Negative Breast Cancer. Cell Reports. 22(5). 1185–1199. 76 indexed citations
6.
Chung, Sejin, Glauco S. Maciel, Haridas E. Pudavar, et al.. (2002). Two-Photon Properties and Excitation Dynamics of Poly(p-phenylenevinylene) Derivatives Carrying Phenylanthracene and Branched Alkoxy Pendents. The Journal of Physical Chemistry A. 106(33). 7512–7520. 44 indexed citations
7.
Wang, Z., Christopher E. B. Evans, Xin Lu, et al.. (2002). Covalent Attachment of RuII Phenanthroline Complexes to Polythionylphosphazenes: The Development and Evaluation of Single-Component Polymeric Oxygen Sensors. Advanced Functional Materials. 12(6-7). 415–419. 63 indexed citations
8.
Maciel, Glauco S., et al.. (2001). Linear and Nonlinear Optical Properties of an Erbium Two-Photon Dye Salt. The Journal of Physical Chemistry B. 105(16). 3155–3157. 23 indexed citations
9.
Oh, Dong Keun, et al.. (1998). Conductivity in the I2-doped PBMPV conducting polymers. Solid State Communications. 105(4). 225–228. 5 indexed citations
10.
Hardouin, F., et al.. (1998). Competition in low ordered smectics between incommensurate phases and two-dimensional modulated ones for dimesogenic compounds. The European Physical Journal B. 1(1). 47–56. 50 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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