K. Tribe

836 citations
8 papers · 719 · h-index 7

Impact in

  • Surgery top 5%
    • Total Knee Arthroplasty Outcomes
    • Orthopaedic implants and arthroplasty
    • Orthopedic Infections and Treatments
    • Hip disorders and treatments
    • Knee injuries and reconstruction techniques
    • Hip and Femur Fractures
    • Osteoarthritis Treatment and Mechanisms

Papers in

K. Tribe

8 papers receiving 684 citations

Peers

K. Tribe
Comparison fields: 5 of 59
  • Surgery 467
  • Rheumatology 65
  • Internal Medicine 8
  • Geriatrics and Gerontology 5
  • Pharmacology 25
Replace Annelies E. Aquarius with:
Annelies E. Aquarius Netherlands
Daniel E. Goltz United States
Ronald Dimentberg Canada
Elaine Friedberg Canada
Doug Lier Canada
Andreas Meunier Sweden
Hanne Bruhn United Kingdom
Monica T. Young United States
David Ring United States
Marcel Widmer Switzerland
K. Tribe relative to Annelies E. Aquarius Netherlands Annelies E. Aquarius's profile →
Citations per field
00.5×
Annelies E. Aquarius · 1×
Citations per year

Countries citing papers authored by K. Tribe

Since Specialization
Citations

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

Fields of papers citing papers by K. Tribe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside K. Tribe, 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 K. Tribe Line = papers co-authored together K. Tribe links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2001357
2 1999204
3 200479
4 200633
5 200024
6 200610
7 20007
8 20065

About K. Tribe

K. Tribe is a scholar working on Surgery, Sociology and Political Science, Pathology and Forensic Medicine, Social Psychology and General Health Professions, having authored 8 papers that have together received 719 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (3 papers), Names, Identity, and Discrimination Research (1 paper), Sex work and related issues (1 paper), Schizophrenia research and treatment (1 paper), Mental Health Treatment and Access (1 paper), Geriatric Care and Nursing Homes (1 paper) and Multiple Sclerosis Research Studies (1 paper). The work is most often cited by research in Surgery (467 citations), Rheumatology (65 citations), Internal Medicine (8 citations), Geriatrics and Gerontology (5 citations) and Pharmacology (25 citations). K. Tribe has collaborated with scholars based in Australia, Brazil and Switzerland. Frequent co-authors include Marita Cross, Lyn March, Brett G. Courtenay, Peter Brooks, Helen Lapsley, Maddalena Cross, H. M. Lapsley, Catherine Pell, Christine Harcourt and Catherine OʼConnor. Their work appears in journals such as Australian & New Zealand Journal of Psychiatry, Osteoarthritis and Cartilage, International Journal of MS Care, Sexually Transmitted Infections and The Medical Journal of Australia.

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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