Jaffer Shah

3.4k citations
116 papers · 1.2k · 1 hit paper · h-index 18

Impact in

Papers in

Jaffer Shah

104 papers receiving 1.1k citations

Jaffer Shah's Hit Papers

A multinational Delphi consensus to end the COVID-19 public health threat 2022 · 128 citations
1280+1+2Years since publication4080120

Peers

Jaffer Shah
Comparison fields: 5 of 145
  • Infectious Diseases 206
  • Modeling and Simulation 53
  • Health 65
  • Neurology 81
  • Clinical Psychology 118
Replace Shashi Kant with:
Shashi Kant India
Thamir Al-khlaiwi Saudi Arabia
Lauren F. Collins United States
Fernando Augusto Lima Marson Brazil
Jinhee Lee South Korea
Sarya Swed Syria
Eli Harriss United Kingdom
Rita Rubin United States
Salvatore Zaffina Italy
Daniel Koch Switzerland
Jaffer Shah relative to Shashi Kant India Shashi Kant's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jaffer Shah

Since Specialization
Citations

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

Fields of papers citing papers by Jaffer Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A multinational Delphi consensus to end the COVID-19 public health threat
Hit paper breakdown →
2022128
2 202253
3 202045
4 202339
5 202135
6 202231
7 202330
8 202226
9 202025
10 202225
11 202225
12 202422
13 202221
14 202219
15 202218
16 202218
17 202217
18 202017
19 202217
20 202116

About Jaffer Shah

Jaffer Shah is a scholar working on Clinical Psychology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 116 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Vaccine Coverage and Hesitancy (5 papers), COVID-19 Clinical Research Studies (5 papers), Diabetes Management and Education (5 papers), Long-Term Effects of COVID-19 (5 papers), Herpesvirus Infections and Treatments (3 papers) and Physical Activity and Health (3 papers). The work is most often cited by research in Infectious Diseases (206 citations), Modeling and Simulation (53 citations), Health (65 citations), Neurology (81 citations) and Clinical Psychology (118 citations). Jaffer Shah has collaborated with scholars based in United States, Egypt and Afghanistan. Frequent co-authors include Nguyen Tien Huy, Asghar Shah, Ahmed Fouad, Karam R. Motawea, Sherief Ghozy, Samar A. Amer, Abdullah Reda, Hani Aiash, Amr Ehab El‐Qushayri and Sayed Hamid Mousavi. Their work appears in journals such as Medicine, Frontiers in Public Health, Frontiers in Psychiatry, Clinical Cardiology and The Lancet Global Health.

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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