Kate Queen

874 citations
10 papers · 735 · h-index 5

Impact in

    • Musculoskeletal pain and rehabilitation
    • Osteoarthritis Treatment and Mechanisms
    • Rheumatoid Arthritis Research and Therapies

Papers in

Kate Queen

9 papers receiving 704 citations

Peers

Kate Queen
Comparison fields: 5 of 69
  • Pharmacology 347
  • Rheumatology 200
  • Psychiatry and Mental health 158
  • Anesthesiology and Pain Medicine 43
  • Complementary and Manual Therapy 12
Replace James N. Weisberg with:
James N. Weisberg United States
Javier Martínez-Calderón Spain
Terence W. Starz United States
Marcus Beasley United Kingdom
Björn Börsbo Sweden
Rosie J. Lacey United Kingdom
Lisa K. McDaniel United States
Kristin R. Alberts United States
Elaine Nicholls United Kingdom
Sheera F. Lerman United States
Kate Queen relative to James N. Weisberg United States James N. Weisberg's profile →
Citations per field
00.5×
James N. Weisberg · 1×
Citations per year

Countries citing papers authored by Kate Queen

Since Specialization
Citations

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

Fields of papers citing papers by Kate Queen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1987266
2 1987231
3 1987142
4 202267
5 201721
6 20233
7 20232
8 20032
9 20241
10 20250

About Kate Queen

Kate Queen is a scholar working on Rheumatology, Molecular Biology, Pharmacology, Genetics and Neurology, having authored 10 papers that have together received 735 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Musculoskeletal pain and rehabilitation (2 papers), Chromatin Remodeling and Cancer (2 papers), Mechanisms of cancer metastasis (1 paper), Pediatric Pain Management Techniques (1 paper), Problem Solving Skills Development (1 paper), Behavioral and Psychological Studies (1 paper) and Musculoskeletal Disorders and Rehabilitation (1 paper). The work is most often cited by research in Pharmacology (347 citations), Rheumatology (200 citations), Psychiatry and Mental health (158 citations), Anesthesiology and Pain Medicine (43 citations) and Complementary and Manual Therapy (12 citations). Kate Queen has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Francis J. Keefe, Karen M. Gil, David S. Caldwell, et al, James E. Crisson, Salutario Martinez, William C. Ogden, Elena Losina, Leigh F. Callahan and Richard F. Loeser. Their work appears in journals such as Arthritis Care & Research, Pediatric Blood & Cancer, Journal of Consulting and Clinical Psychology, BMC Musculoskeletal Disorders and JAMA.

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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