Chin‐Fen Yang

1.6k total citations
20 papers, 1.2k citations indexed

About

Chin‐Fen Yang is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Chin‐Fen Yang has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 6 papers in Infectious Diseases and 5 papers in Immunology. Recurrent topics in Chin‐Fen Yang's work include Respiratory viral infections research (15 papers), Influenza Virus Research Studies (11 papers) and Viral gastroenteritis research and epidemiology (6 papers). Chin‐Fen Yang is often cited by papers focused on Respiratory viral infections research (15 papers), Influenza Virus Research Studies (11 papers) and Viral gastroenteritis research and epidemiology (6 papers). Chin‐Fen Yang collaborates with scholars based in United States, Netherlands and Taiwan. Chin‐Fen Yang's co-authors include George Kemble, Harry B. Greenberg, Hong Jin, Richard R. Spaete, Erich Hoffmann, Kutubuddin Mahmood, John V. Williams, James E. Crowe, Bin Lü and Helen Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Chin‐Fen Yang

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin‐Fen Yang United States 16 1.1k 585 284 151 132 20 1.2k
Hyeok-Il Kwon South Korea 19 736 0.7× 597 1.0× 143 0.5× 381 2.5× 101 0.8× 51 1.2k
M H Snyder United States 16 861 0.8× 326 0.6× 167 0.6× 174 1.2× 110 0.8× 16 921
Chieko Abiko Japan 21 797 0.7× 621 1.1× 96 0.3× 129 0.9× 53 0.4× 41 1.1k
Sitha A. Scheltinga Netherlands 11 834 0.7× 417 0.7× 86 0.3× 26 0.2× 128 1.0× 15 1.1k
Samadhan Jadhao United States 15 740 0.7× 364 0.6× 95 0.3× 402 2.7× 119 0.9× 33 864
Jayati Bera United States 13 637 0.6× 233 0.4× 70 0.2× 124 0.8× 52 0.4× 17 745
Kisoon Kim South Korea 16 364 0.3× 398 0.7× 107 0.4× 56 0.4× 33 0.3× 63 774
Roderick S. Tang United States 20 1.1k 1.0× 718 1.2× 172 0.6× 15 0.1× 250 1.9× 33 1.3k
Kortney M. Gustin United States 20 1.2k 1.1× 505 0.9× 296 1.0× 488 3.2× 105 0.8× 26 1.4k
Bernadette van den Hoogen Netherlands 13 1.1k 1.0× 656 1.1× 140 0.5× 19 0.1× 366 2.8× 26 1.3k

Countries citing papers authored by Chin‐Fen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Fen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Fen Yang. 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 Chin‐Fen Yang. The network helps show where Chin‐Fen Yang may publish in the future.

Co-authorship network of co-authors of Chin‐Fen Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Fen Yang. A scholar is included among the top collaborators of Chin‐Fen Yang 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 Chin‐Fen Yang. Chin‐Fen Yang 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, Chin‐Fen, et al.. (2013). Human metapneumovirus G protein is highly conserved within but not between genetic lineages. Archives of Virology. 158(6). 1245–1252. 15 indexed citations
2.
3.
Lambert, Stacie, Chin‐Fen Yang, Zheng Liu, et al.. (2012). Molecular and Cellular Response Profiles Induced by the TLR4 Agonist-Based Adjuvant Glucopyranosyl Lipid A. PLoS ONE. 7(12). e51618–e51618. 44 indexed citations
4.
Zhu, Qing, Nita Patel, Frances J. Palmer‐Hill, et al.. (2011). Analysis of Respiratory Syncytial Virus Preclinical and Clinical Variants Resistant to Neutralization by Monoclonal Antibodies Palivizumab and/or Motavizumab. The Journal of Infectious Diseases. 203(5). 674–682. 84 indexed citations
5.
Yang, Chin‐Fen, Robert B. Belshe, George Kemble, et al.. (2010). Genetic sequence analysis of influenza viruses and illness severity in ill children previously vaccinated with live attenuated or inactivated influenza vaccine. Vaccine. 28(31). 5128–5134. 5 indexed citations
6.
7.
Williams, John V., Kathryn M. Edwards, Geoffrey A. Weinberg, et al.. (2010). Population‐Based Incidence of Human Metapneumovirus Infection among Hospitalized Children. The Journal of Infectious Diseases. 201(12). 1890–1898. 84 indexed citations
8.
Chen, Grace, Elaine W. Lamirande, Chin‐Fen Yang, et al.. (2010). Evaluation of Replication and Cross-Reactive Antibody Responses of H2 Subtype Influenza Viruses in Mice and Ferrets. Journal of Virology. 84(15). 7695–7702. 42 indexed citations
9.
Yang, Chin‐Fen, Sharon J. Tollefson, Chu Marla, et al.. (2009). Genetic diversity and evolution of human metapneumovirus fusion protein over twenty years. Virology Journal. 6(1). 138–138. 69 indexed citations
10.
Gillim-Ross, Laura, Celia Santos, Yuyan Chen, et al.. (2008). Avian Influenza H6 Viruses Productively Infect and Cause Illness in Mice and Ferrets. Journal of Virology. 82(21). 10854–10863. 82 indexed citations
11.
Liaw, Yung‐Po, et al.. (2008). Cell type specificity of lung cancer associated with air pollution. The Science of The Total Environment. 395(1). 23–27. 20 indexed citations
12.
Williams, John V., Chin‐Fen Yang, Sharon J. Tollefson, et al.. (2006). The Role of Human Metapneumovirus in Upper Respiratory Tract Infections in Children: A 20‐Year Experience. The Journal of Infectious Diseases. 193(3). 387–395. 195 indexed citations
13.
Weinberg, Adriana, Christie Mettenbrink, Dan Ye, & Chin‐Fen Yang. (2005). Sensitivity of diagnostic tests for influenza varies with the circulating strains. Journal of Clinical Virology. 33(2). 172–175. 12 indexed citations
14.
Buonagurio, Deborah A., Chin‐Fen Yang, Haiping Wang, et al.. (2005). Genetic stability of live, cold-adapted influenza virus components of the FluMist®/CAIV-T vaccine throughout the manufacturing process. Vaccine. 24(12). 2151–2160. 25 indexed citations
15.
Hoffmann, Erich, Kutubuddin Mahmood, Yuyan Chen, et al.. (2005). Multiple Gene Segments Control the Temperature Sensitivity and Attenuation Phenotypes of ca B/Ann Arbor/1/66. Journal of Virology. 79(17). 11014–11021. 64 indexed citations
16.
Herfst, Sander, Miranda de Graaf, Jeanne H. Schickli, et al.. (2004). Recovery of Human Metapneumovirus Genetic Lineages A and B from Cloned cDNA. Journal of Virology. 78(15). 8264–8270. 87 indexed citations
17.
Hoffmann, Erich, Kutubuddin Mahmood, Chin‐Fen Yang, & George Kemble. (2004). Molecular basis for temperature sensitivity and attenuation of the human vaccine strain ca B/Ann Arbor/1/66. International Congress Series. 1263. 649–652. 1 indexed citations
18.
19.
Yang, Chin‐Fen, et al.. (2003). Cross‐Reactive H1N1 Antibody Responses to a Live Attenuated Influenza Vaccine in Children: Implication for Selection of Vaccine Strains. The Journal of Infectious Diseases. 188(9). 1362–1366. 21 indexed citations
20.
Hoffmann, Erich, Kutubuddin Mahmood, Chin‐Fen Yang, et al.. (2002). Rescue of influenza B virus from eight plasmids. Proceedings of the National Academy of Sciences. 99(17). 11411–11416. 129 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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