Runtao He

2.2k total citations
37 papers, 1.5k citations indexed

About

Runtao He is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Runtao He has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 15 papers in Molecular Biology and 10 papers in Infectious Diseases. Recurrent topics in Runtao He's work include Influenza Virus Research Studies (15 papers), Respiratory viral infections research (10 papers) and RNA and protein synthesis mechanisms (9 papers). Runtao He is often cited by papers focused on Influenza Virus Research Studies (15 papers), Respiratory viral infections research (10 papers) and RNA and protein synthesis mechanisms (9 papers). Runtao He collaborates with scholars based in Canada, China and Saudi Arabia. Runtao He's co-authors include Xuguang Li, Songli Wang, Jingxin Cao, Junzhi Wang, Gary Van Domselaar, Anton Andonov, Anwar M. Hashem, Changgui Li, Todd Cutts and Robert Anderson and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Runtao He

36 papers receiving 1.4k citations

Peers

Runtao He
Zhihua Kou China
Masahiro Niikura Japan
Hans Dieter Klenk Germany
Hans-Dieter Klenk Germany
Neal Van Hoeven United States
Subash C. Das United States
Robert Naso United States
Rebecca M. DuBois United States
Kathryn L. Schornberg United States
Andrew S. Herbert United States
Zhihua Kou China
Runtao He
Citations per year, relative to Runtao He Runtao He (= 1×) peers Zhihua Kou

Countries citing papers authored by Runtao He

Since Specialization
Citations

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

Fields of papers citing papers by Runtao He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Runtao He. 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 Runtao He. The network helps show where Runtao He may publish in the future.

Co-authorship network of co-authors of Runtao He

This figure shows the co-authorship network connecting the top 25 collaborators of Runtao He. A scholar is included among the top collaborators of Runtao He 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 Runtao He. Runtao He 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.
Fan, Xinyu, Anwar M. Hashem, Tracey M. Doyle, et al.. (2014). Targeting the HA2 subunit of influenza A virus hemagglutinin via CD40L provides universal protection against diverse subtypes. Mucosal Immunology. 8(1). 211–220. 35 indexed citations
2.
Hashem, Anwar M., Caroline Gravel, Aaron Farnsworth, et al.. (2013). A Novel Synthetic Receptor-Based Immunoassay for Influenza Vaccine Quantification. PLoS ONE. 8(2). e55428–e55428. 22 indexed citations
3.
Doyle, Tracey M., Anwar M. Hashem, Changgui Li, et al.. (2013). Universal anti-neuraminidase antibody inhibiting all influenza A subtypes. Antiviral Research. 100(2). 567–574. 94 indexed citations
4.
Doyle, Tracey M., Changgui Li, Doris J. Bucher, et al.. (2013). A monoclonal antibody targeting a highly conserved epitope in influenza B neuraminidase provides protection against drug resistant strains. Biochemical and Biophysical Research Communications. 441(1). 226–229. 43 indexed citations
5.
Hashem, Anwar M., Caroline Gravel, Tracey M. Doyle, et al.. (2012). Subcutaneous immunization with recombinant adenovirus expressing influenza A nucleoprotein protects mice against lethal viral challenge. Human Vaccines & Immunotherapeutics. 8(4). 425–430. 16 indexed citations
6.
Hong, Andy, Tanya C. Burch, Carla Osiowy, et al.. (2012). The interaction between hepatitis B virus X protein and AIB1 oncogene is required for the activation of NFκB signal transduction. Biochemical and Biophysical Research Communications. 423(1). 6–12. 13 indexed citations
7.
Gravel, Caroline, Changgui Li, Junzhi Wang, et al.. (2011). Quantitative Analyses of all Influenza Type A Viral Hemagglutinins and Neuraminidases using Universal Antibodies in Simple Slot Blot Assays. Journal of Visualized Experiments. 18 indexed citations
8.
Russell, Marsha S., Changgui Li, Junzhi Wang, et al.. (2011). Rapid and accurate determination of the potency of varicella vaccine by quantitative polymerase chain reaction. Vaccine. 29(47). 8490–8495. 2 indexed citations
9.
He, Runtao, et al.. (2011). GOmotif: A web server for investigating the biological role of protein sequence motifs. BMC Bioinformatics. 12(1). 379–379.
10.
Myskiw, Chad, et al.. (2010). Nigericin is a potent inhibitor of the early stage of vaccinia virus replication. Antiviral Research. 88(3). 304–310. 18 indexed citations
11.
Hashem, Anwar M., Aaron Farnsworth, Earl G. Brown, et al.. (2009). Aurintricarboxylic Acid Is a Potent Inhibitor of Influenza A and B Virus Neuraminidases. PLoS ONE. 4(12). e8350–e8350. 51 indexed citations
12.
Li, Changgui, Yingli Song, Junzhi Wang, et al.. (2009). A simple slot blot for the detection of virtually all subtypes of the influenza A viral hemagglutinins using universal antibodies targeting the fusion peptide. Nature Protocols. 5(1). 14–19. 36 indexed citations
13.
He, Runtao & Xuguang Li. (2008). Mammalian Two-Hybrid Assay for Detecting Protein-Protein Interactions in Vivo. Methods in molecular biology. 439. 327–337. 13 indexed citations
14.
Li, Changgui, Gary Van Domselaar, Junzhi Wang, et al.. (2008). Universal antibodies and their applications to the quantitative determination of virtually all subtypes of the influenza A viral hemagglutinins. Vaccine. 26(48). 6068–6076. 64 indexed citations
15.
Beniac, Daniel R., et al.. (2007). Conformational Reorganization of the SARS Coronavirus Spike Following Receptor Binding: Implications for Membrane Fusion. PLoS ONE. 2(10). e1082–e1082. 36 indexed citations
16.
Zhang, Xuewu, et al.. (2005). Structural analysis of inhibition mechanisms of Aurintricarboxylic Acid on SARS-CoV polymerase and other proteins. Computational Biology and Chemistry. 29(3). 212–219. 33 indexed citations
17.
He, Runtao, Andrew Leeson, Anton Andonov, et al.. (2004). Characterization of protein–protein interactions between the nucleocapsid protein and membrane protein of the SARS coronavirus. Virus Research. 105(2). 121–125. 97 indexed citations
18.
He, Runtao, Jingxin Cao, Todd Cutts, et al.. (2004). Potent and selective inhibition of SARS coronavirus replication by aurintricarboxylic acid. Biochemical and Biophysical Research Communications. 320(4). 1199–1203. 68 indexed citations
19.
He, Runtao, Andrew Leeson, Anton Andonov, et al.. (2003). Activation of AP-1 signal transduction pathway by SARS coronavirus nucleocapsid protein. Biochemical and Biophysical Research Communications. 311(4). 870–876. 105 indexed citations
20.
Wang, Songli, et al.. (1995). Antibody-Enhanced Binding of Dengue-2 Virus to Human Platelets. Virology. 213(1). 254–257. 107 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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