Catherine E. Patterson

1.2k total citations
17 papers, 1.0k citations indexed

About

Catherine E. Patterson is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Catherine E. Patterson has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Infectious Diseases and 6 papers in Immunology. Recurrent topics in Catherine E. Patterson's work include interferon and immune responses (5 papers), Viral Infections and Immunology Research (5 papers) and Virology and Viral Diseases (5 papers). Catherine E. Patterson is often cited by papers focused on interferon and immune responses (5 papers), Viral Infections and Immunology Research (5 papers) and Virology and Viral Diseases (5 papers). Catherine E. Patterson collaborates with scholars based in United States and Switzerland. Catherine E. Patterson's co-authors include Glenn F. Rall, Thomas Shenk, Diane M. Lawrence, Peter Staeheli, Yuxiang Cheng, Carl J. Baldick, A Marchini, Tracy L. Gales, Karen A. Hasty and Tayebeh Pourmotabbed and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

Catherine E. Patterson

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine E. Patterson United States 12 498 323 276 228 165 17 1.0k
J Rajcáni Slovakia 18 819 1.6× 211 0.7× 240 0.9× 243 1.1× 92 0.6× 130 1.3k
R Milne United Kingdom 21 945 1.9× 179 0.6× 389 1.4× 281 1.2× 135 0.8× 25 1.4k
Matthias Regner Australia 19 312 0.6× 283 0.9× 551 2.0× 251 1.1× 72 0.4× 38 1.1k
John M. Lubinski United States 24 1.0k 2.0× 134 0.4× 520 1.9× 255 1.1× 213 1.3× 35 1.4k
Maria Kalamvoki United States 21 594 1.2× 328 1.0× 543 2.0× 591 2.6× 52 0.3× 39 1.2k
Mandana Mansouri United States 10 424 0.9× 115 0.4× 428 1.6× 399 1.8× 272 1.6× 10 1.0k
Abhilash I. Chiramel United States 14 590 1.2× 314 1.0× 160 0.6× 371 1.6× 144 0.9× 19 1.2k
Fabio Santoro Italy 19 744 1.5× 249 0.8× 321 1.2× 498 2.2× 178 1.1× 27 1.5k
Laura Hertel United States 18 563 1.1× 89 0.3× 317 1.1× 302 1.3× 87 0.5× 42 944
David Jesse Sanchez United States 12 507 1.0× 169 0.5× 811 2.9× 332 1.5× 117 0.7× 21 1.4k

Countries citing papers authored by Catherine E. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Catherine E. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine E. Patterson

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

All Works

17 of 17 papers shown
1.
Levine, Alan D., et al.. (2011). T Cell-, Interleukin-12-, and Gamma Interferon-Driven Viral Clearance in Measles Virus-Infected Brain Tissue. Journal of Virology. 85(7). 3664–3676. 26 indexed citations
2.
Makhortova, Nina R., et al.. (2007). Neurokinin-1 enables measles virus trans-synaptic spread in neurons. Virology. 362(1). 235–244. 74 indexed citations
3.
Wang, Weijia, Catherine E. Patterson, Shaojun Yang, & Hua Zhu. (2004). Coupling generation of cytomegalovirus deletion mutants and amplification of viral BAC clones. Journal of Virological Methods. 121(2). 137–143. 10 indexed citations
4.
Patterson, Catherine E., et al.. (2003). Measles Virus Infection Induces Chemokine Synthesis by Neurons. The Journal of Immunology. 171(6). 3102–3109. 49 indexed citations
5.
Evans, Claire F., et al.. (2002). LCMV and the Central Nervous System: Uncovering Basic Principles of CNS Physiology and Virus-Induced Disease. Current topics in microbiology and immunology. 263. 177–195. 5 indexed citations
6.
Patterson, Catherine E., et al.. (2002). Neuronal Survival Strategies in the Face of RNA Viral Infection. The Journal of Infectious Diseases. 186(s2). S215–S219. 20 indexed citations
7.
Patterson, Catherine E., et al.. (2002). Immune-Mediated Protection from Measles Virus-Induced Central Nervous System Disease Is Noncytolytic and Gamma Interferon Dependent. Journal of Virology. 76(9). 4497–4506. 126 indexed citations
8.
Rall, Glenn F., Diane M. Lawrence, & Catherine E. Patterson. (2000). The Application of Transgenic and Knockout Mouse Technology for the Study of Viral Pathogenesis. Virology. 271(2). 220–226. 8 indexed citations
9.
Lawrence, Diane M., et al.. (2000). Measles Virus Spread between Neurons Requires Cell Contact but Not CD46 Expression, Syncytium Formation, or Extracellular Virus Production. Journal of Virology. 74(4). 1908–1918. 125 indexed citations
10.
Patterson, Catherine E. & Thomas Shenk. (1999). Human Cytomegalovirus UL36 Protein Is Dispensable for Viral Replication in Cultured Cells. Journal of Virology. 73(9). 7126–7131. 61 indexed citations
11.
Baldick, Carl J., A Marchini, Catherine E. Patterson, & Thomas Shenk. (1997). Human cytomegalovirus tegument protein pp71 (ppUL82) enhances the infectivity of viral DNA and accelerates the infectious cycle. Journal of Virology. 71(6). 4400–4408. 146 indexed citations
12.
Garber, Sena, Dean L. Winslow, Carol Reid, et al.. (1993). In vitro isolation and identification of human immunodeficiency virus (HIV) variants with reduced sensitivity to C-2 symmetrical inhibitors of HIV type 1 protease.. Proceedings of the National Academy of Sciences. 90(16). 7543–7547. 114 indexed citations
13.
Patterson, Catherine E., et al.. (1993). Structure-function relationship of human neutrophil collagenase: identification of regions responsible for substrate specificity and general proteinase activity.. Proceedings of the National Academy of Sciences. 90(7). 2569–2573. 105 indexed citations
14.
Cheng, Y S, et al.. (1992). Molecular Characterization of HIV-2 (ROD) Protease Following PCR Cloning from Virus Infected H9 Cells. Advances in experimental medicine and biology. 312. 83–88. 2 indexed citations
15.
Patterson, Catherine E., Ramnath Seetharam, Charles A. Kettner, & Y S Cheng. (1992). Human immunodeficiency virus type 1 and type 2 protease monomers are functionally interchangeable in the dimeric enzymes. Journal of Virology. 66(2). 1228–1231. 10 indexed citations
16.
Cheng, Yuxiang, Catherine E. Patterson, & Peter Staeheli. (1991). Interferon-induced guanylate-binding proteins lack an N(T)KXD consensus motif and bind GMP in addition to GDP and GTP.. Molecular and Cellular Biology. 11(9). 4717–4725. 113 indexed citations
17.
Cheng, Yih‐Shyun E., Catherine E. Patterson, & Peter Staeheli. (1991). Interferon-Induced Guanylate-Binding Proteins Lack an N(T)KXD Consensus Motif and Bind GMP in Addition to GDP and GTP. Molecular and Cellular Biology. 11(9). 4717–4725. 32 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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