Pei‐Jung Chung

567 total citations
19 papers, 439 citations indexed

About

Pei‐Jung Chung is a scholar working on Oncology, Infectious Diseases and Immunology. According to data from OpenAlex, Pei‐Jung Chung has authored 19 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Infectious Diseases and 4 papers in Immunology. Recurrent topics in Pei‐Jung Chung's work include Viral-associated cancers and disorders (4 papers), Direction-of-Arrival Estimation Techniques (3 papers) and Mosquito-borne diseases and control (3 papers). Pei‐Jung Chung is often cited by papers focused on Viral-associated cancers and disorders (4 papers), Direction-of-Arrival Estimation Techniques (3 papers) and Mosquito-borne diseases and control (3 papers). Pei‐Jung Chung collaborates with scholars based in Taiwan, United States and United Kingdom. Pei‐Jung Chung's co-authors include Antonio García‐España, Tung‐Tien Sun, Rob DeSalle, Yu‐Sun Chang, Indra Neil Sarkar, Chih-Lung Liang, Shih‐Tung Liu, Chih‐Hung Shu, Ih‐Jen Su and Chia‐Siu Wang and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and IEEE Transactions on Signal Processing.

In The Last Decade

Pei‐Jung Chung

19 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei‐Jung Chung Taiwan 10 180 130 97 71 63 19 439
Tatiana A. Afanasieva Switzerland 9 192 1.1× 175 1.3× 53 0.5× 67 0.9× 85 1.3× 11 547
Ahmad Trad Germany 15 241 1.3× 230 1.8× 45 0.5× 41 0.6× 279 4.4× 20 607
Anne E. Cheung United States 9 298 1.7× 380 2.9× 110 1.1× 188 2.6× 143 2.3× 13 792
Tomonori Higuchi Japan 13 250 1.4× 205 1.6× 52 0.5× 51 0.7× 134 2.1× 27 560
Sara Hilmer United States 6 227 1.3× 64 0.5× 59 0.6× 16 0.2× 45 0.7× 7 420
Ivan Molineris Italy 15 423 2.4× 59 0.5× 128 1.3× 18 0.3× 71 1.1× 40 742
Klaus Wethmar Germany 14 514 2.9× 103 0.8× 61 0.6× 29 0.4× 209 3.3× 26 835
Gaelle Kustermans Belgium 10 185 1.0× 66 0.5× 80 0.8× 18 0.3× 147 2.3× 10 444
Maureen A. Harrison United Kingdom 4 290 1.6× 111 0.9× 77 0.8× 25 0.4× 36 0.6× 4 485
Junghyun Namkung South Korea 15 279 1.6× 62 0.5× 101 1.0× 14 0.2× 72 1.1× 37 659

Countries citing papers authored by Pei‐Jung Chung

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Jung Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei‐Jung Chung

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

All Works

19 of 19 papers shown
1.
Li, Yao‐Tsun, Ming‐Tsai Chiang, Yogy Simanjuntak, et al.. (2024). Emergence and increased epidemic potential of dengue variants with the NS5V357E mutation after consecutive years of transmission. iScience. 27(11). 110899–110899. 2 indexed citations
2.
Luo, Yueh-Hsia, et al.. (2021). miRNA as a Modulator of Immunotherapy and Immune Response in Melanoma. Biomolecules. 11(11). 1648–1648. 21 indexed citations
3.
Lai, Chao-Yang, Tsung‐Hsien Chuang, Shu‐Yi Lin, et al.. (2021). Type I Interferon Signaling Accelerates Liver Regeneration by Metabolic Modulation in Noninfectious Conditions. American Journal Of Pathology. 191(6). 1036–1048. 7 indexed citations
4.
Chung, Pei‐Jung, Wan-Ting Tsai, Yu‐Feng Lin, et al.. (2021). Aggressive organ penetration and high vector transmissibility of epidemic dengue virus-2 Cosmopolitan genotype in a transmission mouse model. PLoS Pathogens. 17(3). e1009480–e1009480. 8 indexed citations
5.
Chung, Pei‐Jung, Yu‐Feng Lin, Chao-Yang Lai, et al.. (2018). Establishment of a mouse model for the complete mosquito-mediated transmission cycle of Zika virus. PLoS neglected tropical diseases. 12(4). e0006417–e0006417. 15 indexed citations
6.
Tsai, Ming-Ming, Chia‐Siu Wang, Chung‐Ying Tsai, et al.. (2014). MicroRNA-196a/-196b promote cell metastasis via negative regulation of radixin in human gastric cancer. Cancer Letters. 351(2). 222–231. 71 indexed citations
7.
Hsu, Wen‐Li, Pei‐Jung Chung, Ming‐Hsien Tsai, Cicero Lee‐Tian Chang, & Chih-Lung Liang. (2012). A role for Epstein–Barr viral BALF1 in facilitating tumor formation and metastasis potential. Virus Research. 163(2). 617–627. 23 indexed citations
8.
Wan, Shanshan, Pei‐Jung Chung, & B. Mulgrew. (2012). Maximum likelihood array calibration using particle swarm optimisation. IET Signal Processing. 6(5). 456–465. 13 indexed citations
9.
Liu, Hao‐Ping, Pei‐Jung Chung, Chih-Lung Liang, & Yu‐Sun Chang. (2010). The MYND domain-containing protein BRAM1 inhibits lymphotoxin beta receptor-mediated signaling through affecting receptor oligomerization. Cellular Signalling. 23(1). 80–88. 4 indexed citations
10.
Wan, Shuang, Pei‐Jung Chung, & B. Mulgrew. (2010). Array shape self-calibration using particle swarm optimization and decaying diagonal loading. 19–19. 2 indexed citations
11.
García‐España, Antonio, et al.. (2008). Appearance of new tetraspanin genes during vertebrate evolution. Genomics. 91(4). 326–334. 98 indexed citations
12.
Chung, Pei‐Jung. (2007). Stochastic Maximum Likelihood Estimation Under Misspecified Numbersof Signals. IEEE Transactions on Signal Processing. 55(9). 4726–4731. 9 indexed citations
13.
García‐España, Antonio, Pei‐Jung Chung, Xiaoqian Zhao, et al.. (2006). Origin of the tetraspanin uroplakins and their co-evolution with associated proteins: Implications for uroplakin structure and function. Molecular Phylogenetics and Evolution. 41(2). 355–367. 42 indexed citations
14.
Chung, Pei‐Jung, J.F. Böhme, Christoph F. Mecklenbräuker, & Alfred O. Hero. (2005). On signal detection using the bengamini-hochberg procedure. 615–618. 5 indexed citations
15.
Chung, Pei‐Jung, et al.. (2005). Detection of the number of signals using a multiple hypothesis test. 221–224. 8 indexed citations
16.
Chung, Pei‐Jung, Yu‐Sun Chang, Chih-Lung Liang, & Ching‐Liang Meng. (2002). Negative Regulation of Epstein-Barr Virus Latent Membrane Protein 1-mediated Functions by the Bone Morphogenetic Protein Receptor IA-binding Protein, BRAM1. Journal of Biological Chemistry. 277(42). 39850–39857. 17 indexed citations
17.
Yu, Jau‐Song, Hsing-Chen Tsai, Chih‐Ching Wu, et al.. (2002). Induction of inducible nitric oxide synthase by Epstein-Barr virus B95-8-derived LMP1 in Balb/3T3 cells promotes stress-induced cell death and impairs LMP1-mediated transformation. Oncogene. 21(52). 8047–8061. 20 indexed citations
18.
Liang, Chih-Lung, Chi‐Neu Tsai, Pei‐Jung Chung, et al.. (2000). Transcription of Epstein–Barr Virus-Encoded Nuclear Antigen 1 Promoter Qp Is Repressed by Transforming Growth Factor-β via Smad4 Binding Element in Human BL Cells. Virology. 277(1). 184–192. 8 indexed citations
19.

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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