Elizabeth A. Schafer

513 total citations
15 papers, 409 citations indexed

About

Elizabeth A. Schafer is a scholar working on Cardiology and Cardiovascular Medicine, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Elizabeth A. Schafer has authored 15 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 8 papers in Agronomy and Crop Science and 7 papers in Molecular Biology. Recurrent topics in Elizabeth A. Schafer's work include Viral Infections and Immunology Research (8 papers), Animal Disease Management and Epidemiology (8 papers) and HIV Research and Treatment (6 papers). Elizabeth A. Schafer is often cited by papers focused on Viral Infections and Immunology Research (8 papers), Animal Disease Management and Epidemiology (8 papers) and HIV Research and Treatment (6 papers). Elizabeth A. Schafer collaborates with scholars based in United States. Elizabeth A. Schafer's co-authors include Elizabeth Rieder, Velpandi Ayyavoo, Paul Lawrence, Biswanath Majumder, K. Devendra, Narasimhan J. Venkatachari, Anna Kloc, Charles R. Rinaldo, June Kan‐Mitchell and Teresa de los Santos and has published in prestigious journals such as PLoS ONE, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Elizabeth A. Schafer

15 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth A. Schafer United States 12 157 136 132 131 109 15 409
Carole Pomier France 5 145 0.9× 78 0.6× 69 0.5× 65 0.5× 40 0.4× 8 380
Claire Pardieu United Kingdom 5 41 0.3× 89 0.7× 64 0.5× 73 0.6× 82 0.8× 7 265
M. WISKERCHEN United States 7 77 0.5× 283 2.1× 180 1.4× 80 0.6× 177 1.6× 9 530
Weiye Chen China 11 69 0.4× 46 0.3× 69 0.5× 96 0.7× 170 1.6× 32 401
Marie-Lou Giron France 13 38 0.2× 207 1.5× 153 1.2× 107 0.8× 67 0.6× 20 427
David W. Brighty United Kingdom 11 35 0.2× 148 1.1× 170 1.3× 309 2.4× 218 2.0× 23 529
Rolf Suter United States 7 40 0.3× 48 0.4× 188 1.4× 110 0.8× 43 0.4× 8 359
Corinna Patzina Germany 7 34 0.2× 62 0.5× 139 1.1× 250 1.9× 22 0.2× 7 403
Michele R.S. Hargittai United States 7 103 0.7× 149 1.1× 285 2.2× 34 0.3× 22 0.2× 7 543
Magdalena Materniak-Kornas Poland 11 17 0.1× 91 0.7× 86 0.7× 64 0.5× 145 1.3× 24 334

Countries citing papers authored by Elizabeth A. Schafer

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth A. Schafer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth A. Schafer. 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 Elizabeth A. Schafer. The network helps show where Elizabeth A. Schafer may publish in the future.

Co-authorship network of co-authors of Elizabeth A. Schafer

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

All Works

15 of 15 papers shown
1.
Kloc, Anna, K. Devendra, Douglas P. Gladue, et al.. (2020). Residues within the Foot-and-Mouth Disease Virus 3D pol Nuclear Localization Signal Affect Polymerase Fidelity. Journal of Virology. 94(17). 2 indexed citations
2.
Kloc, Anna, Fayna Díaz-San Segundo, Elizabeth A. Schafer, et al.. (2017). Foot-and-mouth disease virus 5’-terminal S fragment is required for replication and modulation of the innate immune response in host cells. Virology. 512. 132–143. 23 indexed citations
3.
Devendra, K., Grace Campagnola, Elizabeth A. Schafer, et al.. (2017). Attenuation of Foot-and-Mouth Disease Virus by Engineered Viral Polymerase Fidelity. Journal of Virology. 91(15). 40 indexed citations
4.
Devendra, K., Elizabeth A. Schafer, Thomas G. Burrage, et al.. (2016). Novel 6xHis tagged foot-and-mouth disease virus vaccine bound to nanolipoprotein adjuvant via metal ions provides antigenic distinction and effective protective immunity. Virology. 495. 136–147. 11 indexed citations
5.
Devendra, K., Paul Lawrence, Anna Kloc, Elizabeth A. Schafer, & Elizabeth Rieder. (2015). Analysis of the interaction between host factor Sam68 and viral elements during foot-and-mouth disease virus infections. Virology Journal. 12(1). 224–224. 29 indexed citations
6.
Devendra, K., Elizabeth A. Schafer, Kamalendra Singh, et al.. (2013). Repeated exposure to 5D9, an inhibitor of 3D polymerase, effectively limits the replication of foot-and-mouth disease virus in host cells. Antiviral Research. 98(3). 380–385. 8 indexed citations
7.
Lawrence, Paul, Elizabeth A. Schafer, & Elizabeth Rieder. (2012). The nuclear protein Sam68 is cleaved by the FMDV 3C protease redistributing Sam68 to the cytoplasm during FMDV infection of host cells. Virology. 425(1). 40–52. 70 indexed citations
8.
Singh, Kamalendra, K. Devendra, Maxwell D. Leslie, et al.. (2010). Inhibitors of Foot and Mouth Disease Virus Targeting a Novel Pocket of the RNA-Dependent RNA Polymerase. PLoS ONE. 5(12). e15049–e15049. 21 indexed citations
9.
Majumder, Biswanath, et al.. (2007). Dendritic Cells Infected withvpr-Positive Human Immunodeficiency Virus Type 1 Induce CD8+T-Cell Apoptosis via Upregulation of Tumor Necrosis Factor Alpha. Journal of Virology. 81(14). 7388–7399. 24 indexed citations
10.
Schafer, Elizabeth A., Narasimhan J. Venkatachari, & Velpandi Ayyavoo. (2006). Antiviral effects of mifepristone on human immunodeficiency virus type-1 (HIV-1): Targeting Vpr and its cellular partner, the glucocorticoid receptor (GR). Antiviral Research. 72(3). 224–232. 27 indexed citations
11.
Chattopadhyay, Ansuman, et al.. (2005). Molecular and functional characterization of a novel splice variant of ANKHD1 that lacks the KH domain and its role in cell survival and apoptosisc. FEBS Journal. 272(16). 4091–4102. 19 indexed citations
12.
Majumder, Biswanath, et al.. (2005). Human Immunodeficiency Virus Type 1 Vpr Impairs Dendritic Cell Maturation and T-Cell Activation: Implications for Viral Immune Escape. Journal of Virology. 79(13). 7990–8003. 92 indexed citations
13.
Schafer, Elizabeth A., Biswanath Majumder, M. Wagner, et al.. (2004). Structure–functional analysis of human immunodeficiency virus type 1 (HIV-1) Vpr: role of leucine residues on Vpr-mediated transactivation and virus replication. Virology. 328(1). 89–100. 25 indexed citations
14.
Manickam, Pachiappan, Biswanath Majumder, M. Wagner, et al.. (2004). Differential regulation of host cellular genes by HIV-1 viral protein R (Vpr): cDNA microarray analysis using isogenic virus. Biochemical and Biophysical Research Communications. 314(4). 1126–1132. 16 indexed citations
15.
Schafer, Elizabeth A., et al.. (1971). [Detection of hemagglutination-inhibiting antibodies to arboviruses in sera of young individuals in the Federal Republic of Germany and in the Republic of Togo (West Africa)].. PubMed. 218(2). 149–59. 2 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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