Jia‐Tsrong Jan

2.7k total citations
49 papers, 1.9k citations indexed

About

Jia‐Tsrong Jan is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Jia‐Tsrong Jan has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 21 papers in Immunology and 16 papers in Molecular Biology. Recurrent topics in Jia‐Tsrong Jan's work include Influenza Virus Research Studies (29 papers), Respiratory viral infections research (15 papers) and Immune Response and Inflammation (11 papers). Jia‐Tsrong Jan is often cited by papers focused on Influenza Virus Research Studies (29 papers), Respiratory viral infections research (15 papers) and Immune Response and Inflammation (11 papers). Jia‐Tsrong Jan collaborates with scholars based in Taiwan, United States and Japan. Jia‐Tsrong Jan's co-authors include Chi‐Huey Wong, Ting-Jen Rachel Cheng, Suh‐Chin Wu, Yih‐Shyun E. Cheng, Che Ma, Chung‐Yi Wu, Wen‐Chun Liu, Han‐Chung Wu, Yung-Chieh Tseng and Men‐Fang Shaio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Jia‐Tsrong Jan

49 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia‐Tsrong Jan Taiwan 25 745 705 674 483 298 49 1.9k
Nongluk Sriwilaijaroen Thailand 20 852 1.1× 428 0.6× 647 1.0× 247 0.5× 602 2.0× 39 2.1k
Robert D. Sitrin United States 25 772 1.0× 660 0.9× 657 1.0× 275 0.6× 89 0.3× 61 2.0k
A. Hajime Koyama Japan 26 766 1.0× 480 0.7× 711 1.1× 493 1.0× 134 0.4× 73 2.1k
Andrew D. Cox Canada 35 1.1k 1.5× 357 0.5× 1.5k 2.2× 818 1.7× 213 0.7× 149 4.5k
Yuna Sun China 29 239 0.3× 1.0k 1.4× 939 1.4× 161 0.3× 164 0.6× 57 2.3k
Andrew J. Thompson United States 28 800 1.1× 364 0.5× 1.0k 1.5× 300 0.6× 71 0.2× 51 2.1k
Charlotte R. Kensil United States 29 393 0.5× 334 0.5× 1.6k 2.3× 1.4k 2.9× 183 0.6× 43 2.9k
Frank St. Michael Canada 30 514 0.7× 433 0.6× 1.2k 1.7× 599 1.2× 148 0.5× 82 3.4k
Jan Paeshuyse Belgium 31 619 0.8× 570 0.8× 857 1.3× 184 0.4× 227 0.8× 97 2.6k
Ivan Dimitrov Bulgaria 20 397 0.5× 556 0.8× 2.2k 3.3× 628 1.3× 150 0.5× 60 2.8k

Countries citing papers authored by Jia‐Tsrong Jan

Since Specialization
Citations

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

Fields of papers citing papers by Jia‐Tsrong Jan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia‐Tsrong Jan. 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 Jia‐Tsrong Jan. The network helps show where Jia‐Tsrong Jan may publish in the future.

Co-authorship network of co-authors of Jia‐Tsrong Jan

This figure shows the co-authorship network connecting the top 25 collaborators of Jia‐Tsrong Jan. A scholar is included among the top collaborators of Jia‐Tsrong Jan 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 Jia‐Tsrong Jan. Jia‐Tsrong Jan 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.
Yang, Cheng‐Wei, Hsing‐Yu Hsu, Yue‐Zhi Lee, et al.. (2023). Natural fucoidans inhibit coronaviruses by targeting viral spike protein and host cell furin. Biochemical Pharmacology. 215. 115688–115688. 12 indexed citations
2.
Tu, I‐Fan, Tzu‐Lung Lin, Feng‐Ling Yang, et al.. (2022). Structural and biological insights into Klebsiella pneumoniae surface polysaccharide degradation by a bacteriophage K1 lyase: implications for clinical use. Journal of Biomedical Science. 29(1). 9–9. 24 indexed citations
3.
Juang, Yu-Pu, Yu-Ting Chou, Ruxian Lin, et al.. (2022). Design, synthesis and biological evaluations of niclosamide analogues against SARS-CoV-2. European Journal of Medicinal Chemistry. 235. 114295–114295. 15 indexed citations
4.
Lee, Ying, Shiu-Lok Hu, Jia‐Tsrong Jan, et al.. (2021). Vaccinia virus-based vaccines confer protective immunity against SARS-CoV-2 virus in Syrian hamsters. PLoS ONE. 16(9). e0257191–e0257191. 16 indexed citations
6.
Liang, Kang-Hao, Shih-Han Ko, Yu‐Chi Chou, et al.. (2021). Antibody cocktail effective against variants of SARS-CoV-2. Journal of Biomedical Science. 28(1). 80–80. 17 indexed citations
7.
Lu, Chun‐Yi, Shih‐Che Sue, Ting‐Hsuan Chen, et al.. (2020). Type IIb Heat Labile Enterotoxin B Subunit as a Mucosal Adjuvant to Enhance Protective Immunity against H5N1 Avian Influenza Viruses. Vaccines. 8(4). 710–710. 3 indexed citations
8.
Chen, Ting‐Hsuan, Wen‐Chun Liu, I‐Chen Chen, et al.. (2019). Recombinant hemagglutinin produced from Chinese Hamster Ovary (CHO) stable cell clones and a PELC/CpG combination adjuvant for H7N9 subunit vaccine development. Vaccine. 37(47). 6933–6941. 9 indexed citations
9.
Chen, Yu-Jung, Sheng‐Fan Wang, I‐Chun Weng, et al.. (2018). Galectin-3 Enhances Avian H5N1 Influenza A Virus–Induced Pulmonary Inflammation by Promoting NLRP3 Inflammasome Activation. American Journal Of Pathology. 188(4). 1031–1042. 82 indexed citations
10.
Wu, Kuan‐Lin, Pei‐Shan Lee, Jia‐Tsrong Jan, et al.. (2018). Acylguanidine derivatives of zanamivir and oseltamivir: Potential orally available prodrugs against influenza viruses. European Journal of Medicinal Chemistry. 154. 314–323. 26 indexed citations
11.
Chen, Ting‐Hsuan, Jia‐Tsrong Jan, Ming‐Hsi Huang, et al.. (2017). Recombinant hemagglutinin proteins formulated in a novel PELC/CpG adjuvant for H7N9 subunit vaccine development. Antiviral Research. 146. 213–220. 4 indexed citations
12.
Wang, Pengcheng, Jia‐Tsrong Jan, Tingting Li, et al.. (2017). Peramivir conjugates as orally available agents against influenza H275Y mutant. European Journal of Medicinal Chemistry. 145. 224–234. 17 indexed citations
14.
15.
Hung, Jung‐Tung, Yi‐Chieh Tsai, Wender Lin, et al.. (2014). Potent adjuvant effects of novel NKT stimulatory glycolipids on hemagglutinin based DNA vaccine for H5N1 influenza virus. Antiviral Research. 107. 110–118. 15 indexed citations
17.
Tsao, Yeou‐Ping, Jianyu Lin, Jia‐Tsrong Jan, et al.. (2006). HLA-A∗0201 T-cell epitopes in severe acute respiratory syndrome (SARS) coronavirus nucleocapsid and spike proteins. Biochemical and Biophysical Research Communications. 344(1). 63–71. 45 indexed citations
18.
Lai, Szu-Chia, Pele Chong, Chia‐Tsui Yeh, et al.. (2005). Characterization of neutralizing monoclonal antibodies recognizing a 15-residues epitope on the spike protein HR2 region of severe acute respiratory syndrome coronavirus (SARS-CoV). Journal of Biomedical Science. 12(5). 711–727. 36 indexed citations
19.
Chen, Li‐Kuang, Yi‐Ling Lin, Ching-Len Liao, et al.. (1996). Generation and Characterization of Organ-Tropism Mutants of Japanese Encephalitis Virusin Vivoandin Vitro. Virology. 223(1). 79–88. 98 indexed citations
20.
Lin, Yi‐Ling, Ching‐Len Liao, Chia‐Tsui Yeh, et al.. (1996). A highly attenuated strain of Japanese encephalitis virus induces a protective immune response in mice. Virus Research. 44(1). 45–56. 32 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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