Eric C. Hsu

906 total citations
10 papers, 757 citations indexed

About

Eric C. Hsu is a scholar working on Epidemiology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Eric C. Hsu has authored 10 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 5 papers in Infectious Diseases and 3 papers in Animal Science and Zoology. Recurrent topics in Eric C. Hsu's work include Virology and Viral Diseases (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Animal Virus Infections Studies (3 papers). Eric C. Hsu is often cited by papers focused on Virology and Viral Diseases (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Animal Virus Infections Studies (3 papers). Eric C. Hsu collaborates with scholars based in Canada, United States and India. Eric C. Hsu's co-authors include Christopher D. Richardson, Caterina Iorio, Farida Sarangi, Aye Aye Khine, Jingyu Diao, James R. Woodgett, Lee Anne Tibbles, Josef Penninger, Anne Marcil and Stephen A. Udem and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Journal of Virology.

In The Last Decade

Eric C. Hsu

10 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric C. Hsu Canada 9 516 205 170 169 135 10 757
Yufeng Yao China 17 318 0.6× 50 0.2× 182 1.1× 309 1.8× 274 2.0× 78 931
S. M. F. Akbar Japan 18 428 0.8× 73 0.4× 111 0.7× 551 3.3× 85 0.6× 38 911
Malika Ait‐Goughoulte France 17 788 1.5× 63 0.3× 111 0.7× 217 1.3× 169 1.3× 25 1.1k
L P Ting China 15 836 1.6× 64 0.3× 130 0.8× 71 0.4× 258 1.9× 17 1.0k
Kelechi Chikere United States 7 165 0.3× 64 0.3× 187 1.1× 340 2.0× 247 1.8× 9 739
Patrick Labonté Canada 14 446 0.9× 50 0.2× 124 0.7× 82 0.5× 213 1.6× 35 839
Jessica Grieves United States 11 185 0.4× 81 0.4× 97 0.6× 304 1.8× 196 1.5× 16 610
Rachel R. Higgins Canada 15 178 0.3× 128 0.6× 113 0.7× 47 0.3× 259 1.9× 23 580
Nanfang Peng China 15 205 0.4× 56 0.3× 132 0.8× 281 1.7× 296 2.2× 15 651
Ruth Rollason United Kingdom 11 323 0.6× 73 0.4× 133 0.8× 271 1.6× 294 2.2× 13 919

Countries citing papers authored by Eric C. Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Eric C. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric C. 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 Eric C. Hsu. The network helps show where Eric C. Hsu may publish in the future.

Co-authorship network of co-authors of Eric C. Hsu

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

All Works

10 of 10 papers shown
1.
Kühtreiber, Willem M., Eric C. Hsu, Melissa Zhao, et al.. (2015). Low levels of C‐peptide have clinical significance for established Type 1 diabetes. Diabetic Medicine. 32(10). 1346–1353. 89 indexed citations
2.
Covey, Scott D., Jamie T. Lewis, Travis D. Webber, et al.. (2006). Leptin resistance following over-expression of protein tyrosine phosphatase 1B in liver. Journal of Molecular Endocrinology. 36(1). 163–174. 39 indexed citations
3.
Welstead, G. Grant, Eric C. Hsu, Caterina Iorio, Shelly Bolotin, & Christopher D. Richardson. (2004). Mechanism of CD150 (SLAM) Down Regulation from the Host Cell Surface by Measles Virus Hemagglutinin Protein. Journal of Virology. 78(18). 9666–9674. 30 indexed citations
4.
Hsu, Eric C., Jürgen Ruland, Farida Sarangi, et al.. (2003). Modified apoptotic molecule (BID) reduces hepatitis C virus infection in mice with chimeric human livers. Nature Biotechnology. 21(5). 519–525. 50 indexed citations
5.
Hsu, Eric C., Caterina Iorio, Farida Sarangi, Aye Aye Khine, & Christopher D. Richardson. (2001). CDw150(SLAM) Is a Receptor for a Lymphotropic Strain of Measles Virus and May Account for the Immunosuppressive Properties of This Virus. Virology. 281(1). 151–151. 2 indexed citations
6.
Hsu, Eric C., Caterina Iorio, Farida Sarangi, Aye Aye Khine, & Christopher D. Richardson. (2001). CDw150(SLAM) Is a Receptor for a Lymphotropic Strain of Measles Virus and May Account for the Immunosuppressive Properties of This Virus. Virology. 279(1). 9–21. 157 indexed citations
7.
Diao, Jingyu, Aye Aye Khine, Farida Sarangi, et al.. (2001). X Protein of Hepatitis B Virus Inhibits Fas-mediated Apoptosis and Is Associated with Up-regulation of the SAPK/JNK Pathway. Journal of Biological Chemistry. 276(11). 8328–8340. 142 indexed citations
8.
9.
Hsu, Eric C., Farida Sarangi, Caterina Iorio, et al.. (1998). A Single Amino Acid Change in the Hemagglutinin Protein of Measles Virus Determines Its Ability To Bind CD46 and Reveals Another Receptor on Marmoset B Cells. Journal of Virology. 72(4). 2905–2916. 135 indexed citations
10.

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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