Saima Afaq

475 citations
39 papers · 224 · h-index 8

Impact in

    • Vaccine Coverage and Hesitancy
    • SARS-CoV-2 and COVID-19 Research
    • Tuberculosis Research and Epidemiology

Papers in

    • Chronic Disease Management Strategies 9
    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Tuberculosis Research and Epidemiology 6

Saima Afaq

30 papers receiving 221 citations

Peers

Saima Afaq
Comparison fields: 5 of 74
  • Health 47
  • Infectious Diseases 66
  • Modeling and Simulation 14
  • Epidemiology 62
  • Endocrinology, Diabetes and Metabolism 27
Replace Farhad Moradpour with:
Farhad Moradpour Iran
Pragya Kumar India
Tadao Ooka Japan
Shahram Oliaei Iran
Sundus Iftikhar Pakistan
William A. Curry United States
Liliana Antunes Portugal
Safa H Alkalash Egypt
John Mukisa Uganda
Michelle Grunauer Ecuador
Saima Afaq relative to Farhad Moradpour Iran Farhad Moradpour's profile →
Citations per field
00.5×2.8×
Farhad Moradpour · 1×
Citations per year

Countries citing papers authored by Saima Afaq

Since Specialization
Citations

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

Fields of papers citing papers by Saima Afaq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 202221
3 202320
4 202018
5 202113
6 202011
7 20238
8 20238
9 20227
10 20197
11 20216
12 20206
13 20235
14 20235
15 20224
16 20234
17 20224
18 20234
19 20214
20 20243

About Saima Afaq

Saima Afaq is a scholar working on Epidemiology, Infectious Diseases, General Health Professions, Endocrinology, Diabetes and Metabolism and Social Psychology, having authored 39 papers that have together received 224 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (9 papers), Physical Activity and Health (6 papers), Diabetes Management and Education (6 papers), Tuberculosis Research and Epidemiology (6 papers), Mental Health Treatment and Access (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Obesity, Physical Activity, Diet (3 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Health (47 citations), Infectious Diseases (66 citations), Modeling and Simulation (14 citations), Epidemiology (62 citations) and Endocrinology, Diabetes and Metabolism (27 citations). Saima Afaq has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Zia Ul Haq, Najma Siddiqi, Naeem Ullah, Aatik Arsh, Muhammad Arshad, Muhammad Shahzad, Khalid Rehman, Muhammad Naseem Khan, Claire Carswell and Zia Ud Din. Their work appears in journals such as BMJ Open, BMC Oral Health, BMC Health Services Research, PLoS ONE and Mental health and physical activity.

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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