Susan E. Witko

448 total citations
9 papers, 316 citations indexed

About

Susan E. Witko is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Susan E. Witko has authored 9 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Infectious Diseases and 4 papers in Genetics. Recurrent topics in Susan E. Witko's work include Virology and Viral Diseases (5 papers), Virus-based gene therapy research (4 papers) and Viral Infections and Outbreaks Research (3 papers). Susan E. Witko is often cited by papers focused on Virology and Viral Diseases (5 papers), Virus-based gene therapy research (4 papers) and Viral Infections and Outbreaks Research (3 papers). Susan E. Witko collaborates with scholars based in United States, United Kingdom and Nigeria. Susan E. Witko's co-authors include Stephen A. Udem, Christopher L. Parks, Mohinder Sidhu, David K. Clarke, M. S. Sidhu, Narender K. Kalyan, R. Michael Hendry, Aaron S. Abramovitz, John H. Eldridge and J. Erik Johnson and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Virology and The Lancet Infectious Diseases.

In The Last Decade

Susan E. Witko

9 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan E. Witko United States 8 214 211 56 38 31 9 316
Laure R. Deflubé United States 9 242 1.1× 169 0.8× 19 0.3× 31 0.8× 42 1.4× 9 342
Joanne M. Tatem United States 10 259 1.2× 275 1.3× 26 0.5× 19 0.5× 53 1.7× 12 404
María Cecilia Freire Argentina 12 291 1.4× 211 1.0× 68 1.2× 25 0.7× 62 2.0× 26 496
Ricky Adams United States 12 253 1.2× 99 0.5× 23 0.4× 12 0.3× 52 1.7× 12 297
Matthew Edmans United Kingdom 10 117 0.5× 159 0.8× 40 0.7× 108 2.8× 55 1.8× 12 290
Aldo Barrera Chile 9 90 0.4× 177 0.8× 22 0.4× 57 1.5× 13 0.4× 12 337
Brian R. Murphy United States 9 183 0.9× 370 1.8× 23 0.4× 48 1.3× 49 1.6× 9 402
Kosuke Okuya Japan 12 255 1.2× 274 1.3× 32 0.6× 24 0.6× 57 1.8× 42 433
Kazutaka Ohsawa Japan 11 91 0.4× 164 0.8× 44 0.8× 26 0.7× 21 0.7× 28 283
Kurt Cooper United States 10 245 1.1× 131 0.6× 17 0.3× 23 0.6× 18 0.6× 15 303

Countries citing papers authored by Susan E. Witko

Since Specialization
Citations

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

Fields of papers citing papers by Susan E. Witko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan E. Witko. 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 Susan E. Witko. The network helps show where Susan E. Witko may publish in the future.

Co-authorship network of co-authors of Susan E. Witko

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

All Works

9 of 9 papers shown
1.
Clarke, David K., Rong Xu, Demetrius Matassov, et al.. (2020). Safety and immunogenicity of a highly attenuated rVSVN4CT1-EBOVGP1 Ebola virus vaccine: a randomised, double-blind, placebo-controlled, phase 1 clinical trial. The Lancet Infectious Diseases. 20(4). 455–466. 23 indexed citations
2.
Cross, Robert W., Rong Xu, Demetrius Matassov, et al.. (2019). Quadrivalent VesiculoVax vaccine protects nonhuman primates from viral-induced hemorrhagic fever and death. Journal of Clinical Investigation. 130(1). 539–551. 54 indexed citations
3.
Donald, Robert G. K., Mike Flint, Narender K. Kalyan, et al.. (2013). A novel approach to generate a recombinant toxoid vaccine against Clostridium difficile. Microbiology. 159(Pt_7). 1254–1266. 76 indexed citations
4.
Johnson, J. Erik, Lisa K. McNeil, Shakuntala Megati, et al.. (2012). Non-propagating, recombinant vesicular stomatitis virus vectors encoding respiratory syncytial virus proteins generate potent humoral and cellular immunity against RSV and are protective in mice. Immunology Letters. 150(1-2). 134–144. 14 indexed citations
5.
Witko, Susan E., J. Erik Johnson, Narender K. Kalyan, et al.. (2009). Refined methods for propagating vesicular stomatitis virus vectors that are defective for G protein expression. Journal of Virological Methods. 164(1-2). 43–50. 4 indexed citations
6.
Witko, Susan E., et al.. (2006). Inhibition of measles virus minireplicon-encoded reporter gene expression by V protein. Virology. 348(1). 107–119. 34 indexed citations
7.
Witko, Susan E., J. Erik Johnson, Krista Melville, et al.. (2006). An efficient helper-virus-free method for rescue of recombinant paramyxoviruses and rhadoviruses from a cell line suitable for vaccine development. Journal of Virological Methods. 135(1). 91–101. 53 indexed citations
8.
Parks, Christopher L., et al.. (2006). Role of V protein RNA binding in inhibition of measles virus minigenome replication. Virology. 348(1). 96–106. 30 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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