Ya‐Li Hsu

793 total citations
24 papers, 641 citations indexed

About

Ya‐Li Hsu is a scholar working on Immunology, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Ya‐Li Hsu has authored 24 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Animal Science and Zoology. Recurrent topics in Ya‐Li Hsu's work include Aquaculture disease management and microbiota (9 papers), Animal Virus Infections Studies (7 papers) and Bacteriophages and microbial interactions (6 papers). Ya‐Li Hsu is often cited by papers focused on Aquaculture disease management and microbiota (9 papers), Animal Virus Infections Studies (7 papers) and Bacteriophages and microbial interactions (6 papers). Ya‐Li Hsu collaborates with scholars based in Taiwan, United States and China. Ya‐Li Hsu's co-authors include Jiann‐Ruey Hong, Jen‐Leih Wu, Kenneth G. Furton, Jen‐Leih Wu, Stefan Rose, Ross J. Harper, Michael Y.T. Chow, Jonathan B. Martin, Gary J. Van Berkel and Jo‐Ann C. Leong and has published in prestigious journals such as Journal of Virology, The Journal of Organic Chemistry and European Journal of Biochemistry.

In The Last Decade

Ya‐Li Hsu

24 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya‐Li Hsu Taiwan 14 294 154 124 97 91 24 641
James A. Mackintosh Australia 9 108 0.4× 292 1.9× 43 0.3× 65 0.7× 31 0.3× 9 719
Sylvie Campagna France 16 106 0.4× 289 1.9× 22 0.2× 50 0.5× 123 1.4× 24 645
Simone A. Beckham Australia 20 107 0.4× 386 2.5× 46 0.4× 88 0.9× 101 1.1× 29 832
Hao‐Ching Wang Taiwan 21 961 3.3× 600 3.9× 46 0.4× 124 1.3× 228 2.5× 46 1.6k
V. N. Kokryakov Russia 20 600 2.0× 1.1k 7.2× 40 0.3× 91 0.9× 82 0.9× 57 1.8k
Yun‐Tzu Huang Taiwan 8 393 1.3× 134 0.9× 27 0.2× 27 0.3× 74 0.8× 14 592
Wendy A. Findlay Canada 15 67 0.2× 376 2.4× 13 0.1× 65 0.7× 197 2.2× 23 750
Hariharan Jayaram United States 16 37 0.1× 800 5.2× 25 0.2× 227 2.3× 87 1.0× 19 1.3k
Melanie M. Miller United States 14 32 0.1× 211 1.4× 77 0.6× 22 0.2× 171 1.9× 28 646
Patricio O. Craig Argentina 13 32 0.1× 248 1.6× 12 0.1× 21 0.2× 42 0.5× 19 424

Countries citing papers authored by Ya‐Li Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Li Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Li Hsu. 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 Ya‐Li Hsu. The network helps show where Ya‐Li Hsu may publish in the future.

Co-authorship network of co-authors of Ya‐Li Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Li Hsu. A scholar is included among the top collaborators of Ya‐Li Hsu 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 Ya‐Li Hsu. Ya‐Li Hsu 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.
Cheng, Chia‐Hsiung, Cheng-Ying Chu, Ya‐Li Hsu, et al.. (2010). Expression and characterization of the JAK kinase and STAT protein from brine shrimp, Artemia franciscana☆. Fish & Shellfish Immunology. 28(5-6). 774–782. 24 indexed citations
2.
Cheng, Chia‐Hsiung, Chih‐Ming Chou, Ya‐Li Hsu, et al.. (2008). Expression and characterization of two STAT isoforms from Sf9 cells. Developmental & Comparative Immunology. 32(7). 814–824. 13 indexed citations
3.
Harper, Ross J., et al.. (2003). Laboratory and field experiments used to identify Canis lupus var. familiaris active odor signature chemicals from drugs, explosives, and humans. Analytical and Bioanalytical Chemistry. 376(8). 1212–1224. 170 indexed citations
4.
Fan, Ting–Jia, Chih‐Ming Chou, Jiann‐Horng Leu, et al.. (2003). Genomic structure, expression and characterization of a STAT5 homologue from pufferfish (Tetraodon fluviatilis). European Journal of Biochemistry. 270(2). 239–252. 24 indexed citations
5.
Lin, Shih‐Bin, Chih‐Hsin Lin, & Ya‐Li Hsu. (2001). Establishment of an Antiviral Activity Assay and the Identification and Partial Purification of Interferon-like Protein from Rainbow Trout Gonadal Cells (RTG-2). Zoological studies. 40(3). 240–246. 5 indexed citations
6.
Martin, Jonathan B., Ya‐Li Hsu, & Gary J. Van Berkel. (2001). Selective Detection of Derivatized Alcohols and Phenols in Essential Oils by Electrospray-Tandem Mass Spectrometry. Journal of Essential Oil Research. 13(5). 324–331. 5 indexed citations
7.
Martin, Jonathan B., Ya‐Li Hsu, & Gary J. Van Berkel. (2000). Ferrocene-Based Electroactive Derivatizing Reagents for the Rapid Selective Screening of Alcohols and Phenols in Natural Product Mixtures Using Electrospray−Tandem Mass Spectrometry. Journal of Natural Products. 63(2). 230–237. 36 indexed citations
9.
Wnuk, Stanislaw F., et al.. (2000). Stannyl Radical-Mediated Cleavage of π-Deficient Heterocyclic Sulfones. Synthesis of α-Fluoro Esters. The Journal of Organic Chemistry. 65(13). 4169–4174. 24 indexed citations
10.
Hong, Jiann‐Ruey, Ya‐Li Hsu, & Jen‐Leih Wu. (1999). Infectious pancreatic necrosis virus induces apoptosis due to down-regulation of survival factor MCL-1 protein expression in a fish cell line. Virus Research. 63(1-2). 75–83. 31 indexed citations
13.
Furton, Kenneth G., et al.. (1999). <title>Field and laboratory comparison of the sensitivity and reliability of cocaine detection on currency using chemical sensors, humans, K-9s, and SPME/GC/MS/MS analysis</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3576. 41–46. 4 indexed citations
14.
Hong, Jiann‐Ruey, et al.. (1998). Apoptosis Precedes Necrosis of Fish Cell Line with Infectious Pancreatic Necrosis Virus Infection. Virology. 250(1). 76–84. 76 indexed citations
15.
Furton, Kenneth G., et al.. (1997). <title>Novel sample preparation methods and field testing procedures used to determine the chemical basis of cocaine detection by canines</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2941. 56–62. 6 indexed citations
16.
Hsu, Ya‐Li, Chih‐Cheng Chen, & Jen‐Leih Wu. (1995). Molecular relationships in infectious pancreatic necrosis virus. Virus Research. 37(3). 239–252. 13 indexed citations
17.
Hsu, Ya‐Li, et al.. (1995). Development of an in vitro subculture system for the oka organ (Lymphoid tissue) of Penaeus monodon. Aquaculture. 136(1-2). 43–55. 42 indexed citations
18.
Hsu, Ya‐Li, et al.. (1989). The specific detection of infectious pancreatic necrosis virus in infected cells and fish by the immuno dot blot method. Journal of Fish Diseases. 12(6). 561–571. 9 indexed citations
19.
Hsu, Ya‐Li, et al.. (1981). Biological Control of Fish Bacterial Pathogen,Aeromonas hydrophila,by Bacteriophage AH1 (魚病に関する国際セミナ-). 15(3). 271–276. 9 indexed citations
20.
Hsu, Ya‐Li, et al.. (1981). Biological Control of Fish Bacterial Pathogen, Aeromonas hydrophila, by Bacteriophage AH 1. Fish Pathology. 15(3-4). 271–276. 52 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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