Anas Khan

106 papers receiving 1.7k citations

Peers

Anas Khan
Comparison fields: 5 of 165
  • Modeling and Simulation 315
  • Emergency Medical Services 206
  • Infectious Diseases 445
  • Health 137
  • Clinical Psychology 260
Replace Ingrid Torjesen with:
Ingrid Torjesen Greenland
Jacqui Wise
The Lancet South Africa
Chakib Nejjari Morocco
Victoria Haldane Canada
Charbel El Bcheraoui United States
Beatriz Thomé Brazil
Hsien-Ho Lin Taiwan
Daisuke Yoneoka Japan
Anas Khan relative to Ingrid Torjesen Greenland Ingrid Torjesen's profile →
Citations per field
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Ingrid Torjesen · 1×
Citations per year

Countries citing papers authored by Anas Khan

Since Specialization
Citations

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

Fields of papers citing papers by Anas Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020292
2 2020179
3 201988
4 202178
5 201875
6 202051
7 202050
8 202039
9 201738
10 202038
11 202133
12 202132
13 202228
14 201927
15 201727
16 201927
17 202327
18 202126
19 202125
20 201924

About Anas Khan

Anas Khan is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Emergency Medical Services, Modeling and Simulation and Clinical Psychology, having authored 123 papers that have together received 1.8k indexed citations. Recurring topics across this work include Travel-related health issues (39 papers), Disaster Response and Management (21 papers), COVID-19 epidemiological studies (21 papers), COVID-19 Clinical Research Studies (14 papers), Viral Infections and Outbreaks Research (11 papers), Climate Change and Health Impacts (11 papers), Vaccine Coverage and Hesitancy (10 papers) and COVID-19 and healthcare impacts (9 papers). The work is most often cited by research in Modeling and Simulation (315 citations), Emergency Medical Services (206 citations), Infectious Diseases (445 citations), Health (137 citations) and Clinical Psychology (260 citations). Anas Khan has collaborated with scholars based in Saudi Arabia, United States and Brunei. Frequent co-authors include Saber Yezli, ‏Yousef Alsofayan, Abdullah M. Assiri, Saqer M. Althunayyan, Hani Jokhdar, Ahmed Hakawi, Ahmed Alahmari, Yasir Almuzaini, Yara Yassin and Abdullah Nofal. Their work appears in journals such as Journal of Infection and Public Health, International Journal of Environmental Research and Public Health, Risk Management and Healthcare Policy, Journal of Travel Medicine and Saudi Pharmaceutical Journal.

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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