Catherine E. Patterson

1.2k citations
17 papers · 1.0k · h-index 12

Impact in

Papers in

    • Virology and Viral Diseases 5
    • Cytomegalovirus and herpesvirus research 3
    • HIV/AIDS drug development and treatment 3
    • HIV/AIDS Research and Interventions 2

Catherine E. Patterson

17 papers receiving 1.0k citations

Peers

Catherine E. Patterson
Comparison fields: 5 of 76
  • Virology 165
  • Infectious Diseases 323
  • Parasitology 106
  • Epidemiology 498
  • Immunology 276
Replace Matthias Regner with:
Matthias Regner Australia
Joanne Trgovcich United States
R Milne United Kingdom
Christina Paulus Germany
Jessica M. Boname United Kingdom
Marcin Baran Ireland
Jin‐Hyun Ahn South Korea
M. Shane Smith United States
Susanna R. Bidgood United Kingdom
J Rajcáni Slovakia
Catherine E. Patterson relative to Matthias Regner Australia Matthias Regner's profile →
Citations per field
00.5×1.5×2.3×
Matthias Regner · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Catherine E. Patterson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Catherine E. Patterson Line = papers co-authored together Catherine E. Patterson links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1997146
2 2002126
3 2000125
4 1993114
5 1991113
6 1993105
7 200774
8 199961
9 200349
10 199132
11 201126
12 200220
13 200410
14 199210
15 20008
16 20025
17 19922

About Catherine E. Patterson

Catherine E. Patterson is a scholar working on Epidemiology, Infectious Diseases, Immunology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include interferon and immune responses (5 papers), Virology and Viral Diseases (5 papers), Viral Infections and Immunology Research (5 papers), HIV Research and Treatment (3 papers), Cytomegalovirus and herpesvirus research (3 papers), HIV/AIDS drug development and treatment (3 papers), Animal Virus Infections Studies (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Virology (165 citations), Infectious Diseases (323 citations), Parasitology (106 citations), Epidemiology (498 citations) and Immunology (276 citations). Catherine E. Patterson has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Glenn F. Rall, Thomas Shenk, Diane M. Lawrence, Peter Staeheli, Yuxiang Cheng, A Marchini, Carl J. Baldick, Karen A. Hasty, Joseph D’Orazio and Carlo L. Mainardi. Their work appears in journals such as Journal of Virology, Virology, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and The Journal of Immunology.

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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