Irfan Ullah

5.7k citations
244 papers · 2.7k · 1 hit paper · h-index 25

Impact in

Papers in

Irfan Ullah

203 papers receiving 2.6k citations

Irfan Ullah's Hit Papers

Myths and conspiracy theories on vaccines and COVID-19: Potential effect on global vaccine refusals 2021 · 192 citations
1920+1+3Years since publication50100150

Peers

Irfan Ullah
Comparison fields: 5 of 177
  • Health 372
  • Modeling and Simulation 170
  • Clinical Psychology 655
  • Infectious Diseases 443
  • Applied Psychology 75
Replace Cyrille Delpierre with:
Cyrille Delpierre France
Nazrul Islam United Kingdom
Jacqui Wise
Carlos King Ho Wong Hong Kong
Huan Zhou China
Laura B Nellums United Kingdom
SeyedAhmad SeyedAlinaghi Iran
Emily Mendenhall United States
Yik Ying Teo Singapore
Owen Dyer Canada
Irfan Ullah relative to Cyrille Delpierre France Cyrille Delpierre's profile →
Citations per field
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Citations per year

Countries citing papers authored by Irfan Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Irfan Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 244 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020215
2
Myths and conspiracy theories on vaccines and COVID-19: Potential effect on global vaccine refusals
Hit paper breakdown →
2021192
3 2020128
4 2021121
5 2020110
6 202173
7 202273
8 202160
9 202159
10 202146
11 202145
12 202144
13 202143
14 202243
15 202041
16 202239
17 201839
18 202137
19 202137
20
Item Response Theory Analysis of the Fear of COVID-19 Scale (FCV-19S): A Systematic Review
202234

About Irfan Ullah

Irfan Ullah is a scholar working on Clinical Psychology, Infectious Diseases, Public Health, Environmental and Occupational Health, Sociology and Political Science and Modeling and Simulation, having authored 244 papers that have together received 2.7k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (34 papers), COVID-19 epidemiological studies (21 papers), COVID-19 Clinical Research Studies (13 papers), Vaccine Coverage and Hesitancy (13 papers), COVID-19 Pandemic Impacts (12 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Long-Term Effects of COVID-19 (11 papers) and Viral Infections and Outbreaks Research (8 papers). The work is most often cited by research in Health (372 citations), Modeling and Simulation (170 citations), Clinical Psychology (655 citations), Infectious Diseases (443 citations) and Applied Psychology (75 citations). Irfan Ullah has collaborated with scholars based in Pakistan, United States and Italy. Frequent co-authors include Kiran Shafiq Khan, Muhammad Junaid Tahir, Mark D. Griffiths, Mohammed A. Mamun, Ali Ahmed, Harapan Harapan, Amir H. Pakpour, Chung‐Ying Lin, Muhammad Sohaib Asghar and Zohaib Yousaf. Their work appears in journals such as Frontiers in Public Health, Infection Control and Hospital Epidemiology, Current Problems in Cardiology, Journal of Clinical Medicine and Annals of Medicine and Surgery.

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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