Deeba Minhas

14 papers receiving 468 citations

Deeba Minhas's Hit Papers

Is Content Really King? An Objective Analysis of the Public's Response to Medical Videos on YouTube 2013 · 287 citations
2870+4+8Years since publication50100150200250

Peers

Deeba Minhas
Comparison fields: 5 of 89
  • General Dentistry 21
  • Health 78
  • General Health Professions 195
  • Rheumatology 62
  • Psychiatry and Mental health 46
Replace Mazlum Serdar Akaltun with:
Mazlum Serdar Akaltun Türkiye
Marta Helena Souza De Conti Brazil
Jenny Leese Canada
Mayssoon Dashash Syria
Burkay Yakar Türkiye
Mohamed Elhassan United Kingdom
M. Shipley United Kingdom
Gianluca Montanari Vergallo Italy
Pei‐Chao Lin Taiwan
Ulrik Kihlbom Sweden
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Countries citing papers authored by Deeba Minhas

Since Specialization
Citations

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

Fields of papers citing papers by Deeba Minhas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Is Content Really King? An Objective Analysis of the Public's Response to Medical Videos on YouTube
Hit paper breakdown →
2013287
2 202346
3 201826
4 202326
5 202019
6 201919
7 202217
8 201614
9 202110
10 20248
11 20235
12 20213
13 20243
14 20241
15 20250

About Deeba Minhas

Deeba Minhas is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Rheumatology, Anesthesiology and Pain Medicine and Pharmacology, having authored 15 papers that have together received 484 indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers), Pain Management and Placebo Effect (4 papers), Pain Mechanisms and Treatments (3 papers), Pain Management and Opioid Use (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Systemic Lupus Erythematosus Research (2 papers), Social Media in Health Education (2 papers) and Health Literacy and Information Accessibility (2 papers). The work is most often cited by research in General Dentistry (21 citations), Health (78 citations), General Health Professions (195 citations), Rheumatology (62 citations) and Psychiatry and Mental health (46 citations). Deeba Minhas has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Tejas Desai, Afreen Idris Shariff, Daniel Joseph Clauw, Yvonne Lee, M. Elaine Husni, Wendy Marder, Charles G. Helmick, Afton L. Hassett, Kamil E. Barbour and Suzanna Maria Zick. Their work appears in journals such as Best Practice & Research Clinical Rheumatology, Arthritis Care & Research, Rheumatic Disease Clinics of North America, PLoS ONE and Current Opinion in Rheumatology.

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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