Chen‐Wen Yao

1.1k total citations
23 papers, 870 citations indexed

About

Chen‐Wen Yao is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chen‐Wen Yao has authored 23 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Infectious Diseases and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chen‐Wen Yao's work include Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Chen‐Wen Yao is often cited by papers focused on Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Chen‐Wen Yao collaborates with scholars based in Taiwan, United States and Japan. Chen‐Wen Yao's co-authors include Frank Preugschat, J H Strauss, Jong‐Shiaw Jin, Dar-Shih Hsieh, Jenn‐Han Chen, Kao‐Jean Huang, Huan‐Yao Lei, Chwan‐Chuen King, Wan‐Jr Syu and Shiau-Ting Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Chen‐Wen Yao

23 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen‐Wen Yao Taiwan 17 365 336 268 103 99 23 870
Giselle Barbosa-Lima Brazil 9 460 1.3× 339 1.0× 212 0.8× 134 1.3× 124 1.3× 11 886
Zhenjian He China 17 347 1.0× 394 1.2× 466 1.7× 203 2.0× 171 1.7× 34 1.1k
Abbas El Sahili Singapore 16 324 0.9× 243 0.7× 387 1.4× 51 0.5× 126 1.3× 29 854
David Shum South Korea 16 185 0.5× 504 1.5× 338 1.3× 109 1.1× 204 2.1× 44 1.1k
Ezequiel Balmori Melian Australia 11 348 1.0× 291 0.9× 127 0.5× 94 0.9× 60 0.6× 13 644
Niklaus H. Mueller United States 13 365 1.0× 202 0.6× 235 0.9× 68 0.7× 291 2.9× 29 913
Bryan C. Mounce United States 20 378 1.0× 420 1.3× 488 1.8× 232 2.3× 265 2.7× 42 1.3k
Petra M. Färber Germany 10 405 1.1× 165 0.5× 263 1.0× 62 0.6× 82 0.8× 11 622
Mami Matsuda Japan 20 166 0.5× 230 0.7× 363 1.4× 133 1.3× 401 4.1× 42 1.1k
Pietro Scaturro Germany 16 766 2.1× 561 1.7× 368 1.4× 238 2.3× 235 2.4× 26 1.3k

Countries citing papers authored by Chen‐Wen Yao

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Wen Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Wen Yao. 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 Chen‐Wen Yao. The network helps show where Chen‐Wen Yao may publish in the future.

Co-authorship network of co-authors of Chen‐Wen Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Chen‐Wen Yao. A scholar is included among the top collaborators of Chen‐Wen Yao 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 Chen‐Wen Yao. Chen‐Wen Yao 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.
Hsiung, H., et al.. (2015). Novel Daidzein Analogs and Their in Vitro Anti‐Influenza Activities. Chemistry & Biodiversity. 12(4). 685–696. 12 indexed citations
2.
Yao, Chen‐Wen, et al.. (2015). Anti-cancer agents derived from solid-state fermented Antrodia camphorata mycelium. Fitoterapia. 102. 115–119. 22 indexed citations
3.
Shi, Li-Shian, et al.. (2014). Cytotoxic effect of triterpenoids from the root bark of Hibiscus syriacus. Fitoterapia. 97. 184–191. 29 indexed citations
4.
Chien, Pei-Yu, et al.. (2014). Synthesis and Anti-influenza Activities of Novel Baicalein Analogs. Chemical and Pharmaceutical Bulletin. 62(5). 415–421. 19 indexed citations
5.
6.
Chiung, Yin-Mei, et al.. (2010). Toluene diisocyanate (TDI) induces calcium elevation and interleukine-4 (IL-4) release - Early responses upon TDI stimulation. The Journal of Toxicological Sciences. 35(2). 197–207. 6 indexed citations
7.
Wu, Hsing‐Ju, Kate L. Seib, Yogitha N. Srikhanta, et al.. (2009). Manganese regulation of virulence factors and oxidative stress resistance in Neisseria gonorrhoeae. Journal of Proteomics. 73(5). 899–916. 32 indexed citations
8.
Chen, Yeh‐Long, et al.. (2009). Synthesis and Antimycobacterial Evaluation on Arylsulfonyl and Arylcarbonyl Derivatives of Ofloxacin. Journal of the Chinese Chemical Society. 56(2). 374–380. 4 indexed citations
9.
10.
Jin, Jong‐Shiaw, Dar-Shih Hsieh, Shih‐Hurng Loh, et al.. (2006). Increasing expression of serine protease matriptase in ovarian tumors: tissue microarray analysis of immunostaining score with clinicopathological parameters. Modern Pathology. 19(3). 447–452. 36 indexed citations
11.
Jin, Jong‐Shiaw, et al.. (2006). Increasing Expression of Extracellular Matrix Metalloprotease Inducer in Ovary Tumors: Tissue Microarray Analysis of Immunostaining Score With Clinicopathological Parameters. International Journal of Gynecological Pathology. 25(2). 140–146. 25 indexed citations
12.
Chen, Shui‐Tsung, Ming‐Hon Hou, Fu‐Ming Pan, et al.. (2005). Biochemical and immunological studies of nucleocapsid proteins of severe acute respiratory syndrome and 229E human coronaviruses. PROTEOMICS. 5(4). 925–937. 48 indexed citations
13.
Jin, Jong‐Shiaw, Chen‐Wen Yao, Ting‐Yu Chin, et al.. (2004). Adriamycin impairs the contraction of mesangial cells through the inhibition of protein kinase C and intracellular calcium. American Journal of Physiology-Renal Physiology. 287(2). F188–F194. 9 indexed citations
14.
Shyu, Rong‐Hwa, et al.. (2001). High‐level expression of recombinant dengue viral NS‐1 protein and its potential use as a diagnostic antigen. Journal of Medical Virology. 65(3). 553–560. 52 indexed citations
15.
Lien, Jih-Ching, et al.. (2000). Vector Competence of <I>Culex pipiens molestus</I> (Diptera: Culicidae) from Taiwan for a Sympatric Strain of Japanese Encephalitis Virus. Journal of Medical Entomology. 37(5). 780–783. 21 indexed citations
16.
Inoue, Sadako, Shu‐Ling Lin, Tschining Chang, et al.. (1998). Identification of Free Deaminated Sialic Acid (2-Keto-3-deoxy-d-glycero-d-galacto-nononic Acid) in Human Red Blood Cells and Its Elevated Expression in Fetal Cord Red Blood Cells and Ovarian Cancer Cells. Journal of Biological Chemistry. 273(42). 27199–27204. 66 indexed citations
17.
18.
Leu, Jiann‐Horng, Mau-Sun Chang, Chen‐Wen Yao, et al.. (1998). Genomic organization and characterization of the promoter region of the round-spotted pufferfish (Tetraodon fluviatilis) JAK1 kinase gene. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1395(1). 50–56. 22 indexed citations
19.
Chang, Mau-Sun, Jiann‐Horng Leu, Chen‐Wen Yao, Fore‐Lien Huang, & Chang‐Jen Huang. (1997). Genomic Structure and Promoter Region of c-fos Gene of Round-spotted Pufferfish, Tetraodon nigroviridis (Syn. T. fluviatilis). Zoological studies. 36(3). 159–169. 3 indexed citations
20.
Preugschat, Frank, Chen‐Wen Yao, & J H Strauss. (1990). In vitro processing of dengue virus type 2 nonstructural proteins NS2A, NS2B, and NS3. Journal of Virology. 64(9). 4364–4374. 184 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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