Paul Arora
Impact in
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- Nephrology top 5%
Papers in
-
- HIV/AIDS Research and Interventions 11
- Co-authors
- Darren R. BrennerAlaa BadawiDan PerriEdward J. MillsDevon J. BoyneJustin SlaterPing WuBeth Rachlis
- Journals
- JAMA Network Open (4 papers)PLoS ONE (4 papers)Journal of Clinical Epidemiology (2 papers)American Journal of Tropical Medicine and Hygiene (2 papers)Campbell Systematic Reviews (2 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Paul Arora
62 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Infectious Diseases 417
- Nephrology 157
- Epidemiology 526
- Family Practice 28
- Geriatrics and Gerontology 48
Countries citing papers authored by Paul Arora
This map shows the geographic impact of Paul Arora'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 Paul Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Arora more than expected).
Fields of papers citing papers by Paul Arora
This network shows the impact of papers produced by Paul Arora. 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 Paul Arora. The network helps show where Paul Arora may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Arora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 8 | |
| 4 | 2019 | 11 | |
| 5 | 2019 | 18 | |
| 6 | BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses Hit paper breakdown → | 2019 | 213 |
| 7 | 2019 | 114 | |
| 8 | 2018 | 6 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 22 | |
| 11 | The Global Relationship between the Prevalence of Diabetes Mellitus and Incidence of Tuberculosis: 2000-2012 | 2015 | 1 |
| 12 | 2014 | 29 | |
| 13 | 2013 | 14 | |
| 14 | 2012 | 4 | |
| 15 | The Relationship between Inflammation, Metabolic Syndrome and Markers of Cardiometabolic Disease among Canadian Adults | 2011 | 2 |
| 16 | 2011 | 25 | |
| 17 | 2011 | 17 | |
| 18 | 2010 | 47 | |
| 19 | 2008 | 322 | |
| 20 | 2008 | 132 |
About Paul Arora
Paul Arora is a scholar working on Health Informatics, Infectious Diseases, Statistics and Probability, Epidemiology and Economics and Econometrics, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (11 papers), HIV/AIDS Research and Interventions (11 papers), HIV, Drug Use, Sexual Risk (7 papers), Sex work and related issues (6 papers), Statistical Methods in Clinical Trials (5 papers), Lung Cancer Treatments and Mutations (5 papers), Adolescent Sexual and Reproductive Health (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Infectious Diseases (417 citations), Nephrology (157 citations), Epidemiology (526 citations), Family Practice (28 citations) and Geriatrics and Gerontology (48 citations). Paul Arora has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Darren R. Brenner, Alaa Badawi, Dan Perri, Edward J. Mills, Devon J. Boyne, Justin Slater, Ping Wu, Beth Rachlis, P.J. Devereaux and Audrey Béliveau. Their work appears in journals such as JAMA Network Open, PLoS ONE, Journal of Clinical Epidemiology, American Journal of Tropical Medicine and Hygiene and Campbell Systematic Reviews.
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.