Ba’ Pham

8.4k citations
62 papers · 5.9k indexed · 2 hit papers · h-index 32

Ba’ Pham

61 papers receiving 5.7k citations

Hit Papers

Does the inclusion of grey literature influence estimates...613199820262007201650010001.5k2.0k2.5k

Peers

Ba’ Pham
Comparison fields: 5 of 186
  • Statistics, Probability and Uncertainty 1.0k
  • Hepatology 415
  • Emergency Medicine 470
  • Geriatrics and Gerontology 143
  • Critical Care and Intensive Care Medicine 174
Replace David M. Rind with:
David M. Rind United States
Mark Helfand United States
Ben Vandermeer Canada
Reem A. Mustafa United States
A. Laupacis Canada
Ben Djulbegovic United States
Micere Thuku Canada
Jason W. Busse Canada
Roman Jaeschke Canada
Ferrán Catalá-López Spain
Ba’ Pham relative to David M. Rind United States David M. Rind's profile →
Citations per field
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David M. Rind · 1×
Citations per year

Countries citing papers authored by Ba’ Pham

Since Specialization
Citations

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

Fields of papers citing papers by Ba’ Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ba’ Pham. 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 Ba’ Pham. The network helps show where Ba’ Pham may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20228
3 202052
4 201923
5 201811
6 2018125
7 201722
8 201219
9 200855
10 200625
11 200510
12 200529
13 2005159
14 200537
15 200545
16 20031
17
Does the inclusion of grey literature influence estimates of intervention effectiveness reported in meta-analyses?breakdown →
2000613
18 2000118
19 199838
20 199815

About Ba’ Pham

Ba’ Pham is a scholar working on Statistics, Probability and Uncertainty, Occupational Therapy, Health Informatics, Rehabilitation and Toxicology, having authored 62 papers that have together received 5.9k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (13 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Pressure Ulcer Prevention and Management (5 papers), Wound Healing and Treatments (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Health Sciences Research and Education (4 papers), Diagnosis and Treatment of Venous Diseases (4 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.0k citations), Hepatology (415 citations), Emergency Medicine (470 citations), Geriatrics and Gerontology (143 citations) and Critical Care and Intensive Care Medicine (174 citations). Ba’ Pham has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David Moher, Peter Tugwell, Terry P. Klassen, Alejandro R. Jadad, Alison Jones, M Moher, Laura McAuley, Andrea C. Tricco, Margaret L. Lawson and Sharon E. Straus. Their work appears in journals such as Journal of Clinical Epidemiology, BMJ Open, Systematic Reviews, Annals of Emergency Medicine and BMC Infectious Diseases.

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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