Suzanne E. Queen

2.2k citations
56 papers · 1.6k indexed · h-index 23

Suzanne E. Queen

55 papers receiving 1.6k citations

Peers

Suzanne E. Queen
Comparison fields: 5 of 85
  • Virology 1.0k
  • Neurology 442
  • Biological Psychiatry 88
  • Emergency Medicine 302
  • Infectious Diseases 492
Replace Wei Chao with:
Wei Chao United States
Debbie D. Watry United States
Désirée Kunkel Germany
Kelly A. Metcalf Pate United States
Srinivas D. Narasipura United States
Ferdinand Maingat Canada
Richard J. Noel Puerto Rico
Tory P. Johnson United States
Jenae Limoges United States
C A Noonan United States
Suzanne E. Queen relative to Wei Chao United States Wei Chao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Suzanne E. Queen

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne E. Queen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 202311
3 20217
4 20206
5 201940
6 201821
7 20178
8 201523
9
Loss of Corneal Sensory Nerve Fibers in SIV-Infected Macaques: An Alternate Approach to Investigate HIV-Induced PNS Damage
20142
10 201338
11 2013142
12 201342
13 20133
14 201225
15 201021
16 201014
17 200821
18 200515
19 200470
20 200334

About Suzanne E. Queen

Suzanne E. Queen is a scholar working on Virology, Neurology and Emergency Medicine, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (43 papers), Neuroinflammation and Neurodegeneration Mechanisms (20 papers), HIV/AIDS Research and Interventions (18 papers), HIV-related health complications and treatments (13 papers), Immune Cell Function and Interaction (7 papers), Herpesvirus Infections and Treatments (5 papers), Extracellular vesicles in disease (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Virology (1.0k citations), Neurology (442 citations) and Biological Psychiatry (88 citations). Suzanne E. Queen has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Joseph L. Mankowski, Robert J. Adams, Janice E. Clements, M. Christine Zink, Lúcio Gama, Patrick M. Tarwater, Kenneth W. Witwer, Erin N. Shirk, Melissa A. McAlexander and Kelly A. Metcalf Pate. Their work appears in journals such as Journal of NeuroVirology, Journal of Neuropathology & Experimental Neurology, AIDS, American Journal Of Pathology and The Journal of Infectious Diseases.

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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