Ping‐Yuan Lin

555 total citations
18 papers, 470 citations indexed

About

Ping‐Yuan Lin is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Ping‐Yuan Lin has authored 18 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Infectious Diseases and 7 papers in Genetics. Recurrent topics in Ping‐Yuan Lin's work include Virus-based gene therapy research (7 papers), Viral gastroenteritis research and epidemiology (5 papers) and Natural product bioactivities and synthesis (3 papers). Ping‐Yuan Lin is often cited by papers focused on Virus-based gene therapy research (7 papers), Viral gastroenteritis research and epidemiology (5 papers) and Natural product bioactivities and synthesis (3 papers). Ping‐Yuan Lin collaborates with scholars based in Taiwan and United States. Ping‐Yuan Lin's co-authors include Wen‐Ling Shih, Hung‐Jen Liu, Ming‐Huei Liao, Jeng‐Woei Lee, Hsue‐Yin Hsu, Ching‐Dong Chang, Chi‐I Chang, Jue‐Liang Hsu, Shu‐Jun Chiu and Yo-Chia Chen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biochemical and Biophysical Research Communications and Virology.

In The Last Decade

Ping‐Yuan Lin

18 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping‐Yuan Lin Taiwan 14 204 155 129 122 101 18 470
Khalid Amine Timani United States 15 281 1.4× 235 1.5× 67 0.5× 110 0.9× 86 0.9× 32 645
Arnaud Autret France 9 282 1.4× 115 0.7× 51 0.4× 83 0.7× 62 0.6× 10 501
Zahia Touat France 4 267 1.3× 81 0.5× 72 0.6× 140 1.1× 52 0.5× 4 499
Erpeng Zhu China 15 151 0.7× 83 0.5× 73 0.6× 115 0.9× 82 0.8× 35 468
G. Renuka Kumar United States 16 394 1.9× 165 1.1× 48 0.4× 146 1.2× 62 0.6× 22 771
Tobias Nolden Germany 15 185 0.9× 107 0.7× 85 0.7× 119 1.0× 19 0.2× 29 513
Viktoria Lytvyn Canada 9 293 1.4× 231 1.5× 76 0.6× 45 0.4× 63 0.6× 10 583
Cristina M. Dorobantu Netherlands 14 374 1.8× 112 0.7× 40 0.3× 115 0.9× 50 0.5× 16 630
Yingying Lei China 12 260 1.3× 109 0.7× 80 0.6× 48 0.4× 93 0.9× 33 497
Yosef Sabo United States 11 227 1.1× 311 2.0× 60 0.5× 91 0.7× 29 0.3× 15 603

Countries citing papers authored by Ping‐Yuan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐Yuan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping‐Yuan Lin. 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 Ping‐Yuan Lin. The network helps show where Ping‐Yuan Lin may publish in the future.

Co-authorship network of co-authors of Ping‐Yuan Lin

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

All Works

18 of 18 papers shown
1.
Lin, Ping‐Yuan, et al.. (2023). Cholesteric liquid crystal biosensor platform with image analysis for rapid detection of COVID-19. Frontiers in Bioengineering and Biotechnology. 11. 1148446–1148446. 4 indexed citations
2.
Chang, Ching‐Dong, et al.. (2017). Novel purification method and antibiotic activity of recombinant Momordica charantia MAP30. 3 Biotech. 7(1). 3–3. 8 indexed citations
3.
Chang, Ching‐Dong, Ping‐Yuan Lin, Jue‐Liang Hsu, & Wen‐Ling Shih. (2016). Ursolic Acid Suppresses Hepatitis B Virus X Protein-mediated Autophagy and Chemotherapeutic Drug Resistance. Anticancer Research. 36(10). 5097–5108. 15 indexed citations
4.
Lin, Ping‐Yuan, Hung‐Jen Liu, Ching‐Dong Chang, et al.. (2015). Avian reovirus S1133-induced apoptosis is associated with Bip/GRP79-mediated Bim translocation to the endoplasmic reticulum. APOPTOSIS. 20(4). 481–490. 20 indexed citations
5.
Lin, Ping‐Yuan, Ching‐Dong Chang, Yo-Chia Chen, & Wen‐Ling Shih. (2015). RhoA/ROCK1 regulates Avian Reovirus S1133-induced switch from autophagy to apoptosis. BMC Veterinary Research. 11(1). 103–103. 13 indexed citations
6.
Lin, Ping‐Yuan, et al.. (2015). Potentiation of Acute Promyelocytic Leukemia Cell Differentiation and Prevention of Leukemia Development in Mice by Oleanolic Acid.. PubMed. 35(12). 6583–90. 9 indexed citations
7.
Chang, Ching‐Dong, Ping‐Yuan Lin, Ming‐Huei Liao, et al.. (2013). Suppression of apoptosis by pseudorabies virus Us3 protein kinase through the activation of PI3-K/Akt and NF-κB pathways. Research in Veterinary Science. 95(2). 764–774. 31 indexed citations
8.
Shih, Wen‐Ling, et al.. (2012). Suppression of AMF/PGI‐mediated tumorigenic activities by ursolic acid in cultured hepatoma cells and in a mouse model. Molecular Carcinogenesis. 52(10). 800–812. 16 indexed citations
9.
Lin, Ping‐Yuan, Hung‐Jen Liu, Ching‐Dong Chang, et al.. (2011). Avian reovirus S1133-induced DNA damage signaling and subsequent apoptosis in cultured cells and in chickens. Archives of Virology. 156(11). 1917–1929. 30 indexed citations
10.
Chang, Chi‐I, Ping‐Yuan Lin, Jue‐Liang Hsu, et al.. (2011). Suppression of Hepatitis B Virus X Protein-Mediated Tumorigenic Effects by Ursolic Acid. Journal of Agricultural and Food Chemistry. 59(5). 1713–1722. 38 indexed citations
11.
Lin, Ping‐Yuan, Hung‐Jen Liu, Ming‐Huei Liao, et al.. (2010). Activation of PI 3-kinase/Akt/NF-κB and Stat3 signaling by avian reovirus S1133 in the early stages of infection results in an inflammatory response and delayed apoptosis. Virology. 400(1). 104–114. 33 indexed citations
12.
Lin, Ping‐Yuan, Jeng‐Woei Lee, Ming‐Huei Liao, et al.. (2009). Modulation of p53 by mitogen-activated protein kinase pathways and protein kinase C δ during avian reovirus S1133-induced apoptosis. Virology. 385(2). 323–334. 42 indexed citations
13.
Shih, Wen‐Ling, Ming‐Huei Liao, Ping‐Yuan Lin, et al.. (2009). PI 3-kinase/Akt and STAT3 are required for the prevention of TGF-β-induced Hep3B cell apoptosis by autocrine motility factor/phosphoglucose isomerase. Cancer Letters. 290(2). 223–237. 18 indexed citations
14.
Lin, Ping‐Yuan, Ming‐Huei Liao, Hung‐Jen Liu, et al.. (2008). TNF-α mediates pseudorabies virus-induced apoptosis via the activation of p38 MAPK and JNK/SAPK signaling. Virology. 381(1). 55–66. 52 indexed citations
16.
Liu, Hung‐Jen, et al.. (2008). Activation of Small GTPases RhoA and Rac1 Is Required for Avian Reovirus p10-induced Syncytium Formation. Molecules and Cells. 26(4). 396–403. 25 indexed citations
17.
Lin, Ping‐Yuan, Hung‐Jen Liu, Meng‐Jiun Lai, et al.. (2006). Avian Reovirus activates a novel proapoptotic signal by linking Src to p53. APOPTOSIS. 11(12). 2179–93. 39 indexed citations
18.
Liu, Hung‐Jen, Ping‐Yuan Lin, Jeng‐Woei Lee, Hsue‐Yin Hsu, & Wen‐Ling Shih. (2005). Retardation of cell growth by avian reovirus p17 through the activation of p53 pathway. Biochemical and Biophysical Research Communications. 336(2). 709–715. 56 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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