Suzanne Pickering

3.6k citations
18 papers · 758 · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • HIV/AIDS drug development and treatment

Papers in

    • SARS-CoV-2 and COVID-19 Research 7
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 detection and testing 2
    • HIV Research and Treatment 9

Suzanne Pickering

18 papers receiving 753 citations

Peers

Suzanne Pickering
Comparison fields: 5 of 78
  • Virology 368
  • Infectious Diseases 278
  • Immunology 318
  • Epidemiology 170
  • Animal Science and Zoology 36
Replace Bianca Schulte with:
Bianca Schulte Germany
Vasundhara Varthakavi United States
William J. Neidermyer United States
Alyson Yoder United States
Kelly E. Seaton United States
Carolina Garrido United States
Denis Cointe France
Adriana Gonçalves United Kingdom
Sean Matthew McCauley United States
Jason L. DeHart United States
Suzanne Pickering relative to Bianca Schulte Germany Bianca Schulte's profile →
Citations per field
00.5×
Bianca Schulte · 1×
Citations per year

Countries citing papers authored by Suzanne Pickering

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Pickering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne Pickering. 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 Suzanne Pickering. The network helps show where Suzanne Pickering may publish in the future.

Co-authors

The 25 scholars most cited alongside Suzanne Pickering, 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 Suzanne Pickering Line = papers co-authored together Suzanne Pickering links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2012230
2 2016108
3 202197
4 201554
5 201448
6 201447
7 202240
8 202028
9 202225
10 201819
11 201913
12 202111
13 202211
14 202211
15 20218
16 20235
17 19802
18 20241

About Suzanne Pickering

Suzanne Pickering is a scholar working on Infectious Diseases, Virology, Immunology, Epidemiology and Molecular Biology, having authored 18 papers that have together received 758 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), interferon and immune responses (4 papers), COVID-19 Clinical Research Studies (4 papers), Herpesvirus Infections and Treatments (3 papers), SARS-CoV-2 detection and testing (2 papers), T-cell and B-cell Immunology (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Virology (368 citations), Infectious Diseases (278 citations), Immunology (318 citations), Epidemiology (170 citations) and Animal Science and Zoology (36 citations). Suzanne Pickering has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Stuart J. D. Neil, Rui Pedro Galão, Tonya Kueck, Anna Le Tortorec, Toshana L. Foster, Katie J. Doores, Chad M. Swanson, Helena Winstone, María José Lista and Claire Kerridge. Their work appears in journals such as Journal of Virology, Cell Host & Microbe, Cell Reports, mBio and Frontiers in 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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