Tahira Devji

4.1k citations
39 papers · 1.6k indexed · 1 hit paper · h-index 22

Tahira Devji

39 papers receiving 1.5k citations

Hit Papers

GRADE guidelines 32: GRADE offers guidance on choosing ta...167202120262022202450100150

Peers

Tahira Devji
Comparison fields: 5 of 129
  • Rheumatology 260
  • Orthopedics and Sports Medicine 146
  • Urology 89
  • Surgery 537
  • Cardiology and Cardiovascular Medicine 254
Replace Rachel Court with:
Rachel Court United Kingdom
Natasha Burke Canada
Andrew P. Yu United States
Shelagh M. Szabo United States
Suzie Cro United Kingdom
H.G.M. Leufkens Netherlands
Jay Siwek United States
Renea V Johnston Australia
Daniel A. London United States
Juan Víctor Ariel Franco Argentina
Tahira Devji relative to Rachel Court United Kingdom Rachel Court's profile →
Citations per field
00.5×4.6×
Rachel Court · 1×
Citations per year

Countries citing papers authored by Tahira Devji

Since Specialization
Citations

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

Fields of papers citing papers by Tahira Devji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20236
3 20233
4 202324
5 202214
6 202213
7 20226
8 202122
9 20218
10 202115
11 202046
12 20199
13 201921
14 201927
15 201787
16 201763
17 20178
18 201690
19 201657
20 2016101

About Tahira Devji

Tahira Devji is a scholar working on Statistics, Probability and Uncertainty, Rheumatology and Orthopedics and Sports Medicine, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Meta-analysis and systematic reviews (5 papers), Delphi Technique in Research (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Knee injuries and reconstruction techniques (3 papers), COVID-19 Clinical Research Studies (3 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Rheumatology (260 citations), Orthopedics and Sports Medicine (146 citations) and Urology (89 citations). Tahira Devji has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Mohit Bhandari, Gordon Guyatt, Reed Siemieniuk, Yaping Chang, Alonso Carrasco‐Labra, Christopher Vannabouathong, Robin Christensen, Thomas Agoritsas, Seper Ekhtiari and Per Olav Vandvik. Their work appears in journals such as Journal of Clinical Epidemiology, BMJ, BMJ Open, PLoS ONE and Ophthalmology.

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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