Tahira Devji
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Urology top 5%
Papers in
- Surgery 4
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- Melanoma and MAPK Pathways 3
- Co-authors
- Mohit Bhandari (11 shared papers)Gordon Guyatt (18 shared papers)Reed Siemieniuk (7 shared papers)Yaping Chang (5 shared papers)Alonso Carrasco‐Labra (7 shared papers)Christopher Vannabouathong (3 shared papers)Robin Christensen (2 shared papers)Thomas Agoritsas (6 shared papers)
- Journals
- Journal of Clinical Epidemiology (6 papers)BMJ (5 papers)BMJ Open (4 papers)PLoS ONE (3 papers)Ophthalmology (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Tahira Devji
39 papers receiving 1.6k citations
Tahira Devji's Hit Papers
Peers
Comparison fields: 5 of 121
- Rheumatology 187
- Urology 72
- Cardiology and Cardiovascular Medicine 193
- Orthopedics and Sports Medicine 72
- Surgery 354
Countries citing papers authored by Tahira Devji
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
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-authors
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GRADE guidelines 32: GRADE offers guidance on choosing targets of GRADE certainty of evidence ratings Hit paper breakdown → | 2021 | 177 |
| 2 | 2020 | 118 | |
| 3 | 2016 | 107 | |
| 4 | 2019 | 93 | |
| 5 | 2016 | 91 | |
| 6 | 2016 | 90 | |
| 7 | 2017 | 87 | |
| 8 | 2020 | 69 | |
| 9 | 2020 | 69 | |
| 10 | 2016 | 66 | |
| 11 | 2013 | 64 | |
| 12 | 2017 | 63 | |
| 13 | 2016 | 57 | |
| 14 | 2015 | 52 | |
| 15 | 2020 | 49 | |
| 16 | 2016 | 49 | |
| 17 | 2020 | 43 | |
| 18 | 2016 | 32 | |
| 19 | 2019 | 28 | |
| 20 | 2023 | 26 |
About Tahira Devji
Tahira Devji is a scholar working on Surgery, Molecular Biology, Rheumatology, Statistics, Probability and Uncertainty and Pharmacology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Meta-analysis and systematic reviews (4 papers), Melanoma and MAPK Pathways (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Cardiac Valve Diseases and Treatments (2 papers), COVID-19 Clinical Research Studies (2 papers), Diabetes Management and Research (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Rheumatology (187 citations), Urology (72 citations), Cardiology and Cardiovascular Medicine (193 citations), Orthopedics and Sports Medicine (72 citations) and Surgery (354 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.