Sharif Ismail

3.1k citations
60 papers · 1.8k indexed · 1 hit paper · h-index 23
Topics
COVID-19 Clinical Research Studies (7 papers)COVID-19 and Mental Health (7 papers)COVID-19 epidemiological studies (7 papers)
Journals
The LancetSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Sharif Ismail

58 papers receiving 1.7k citations

Hit Papers

T cell response to SARS-CoV-2 infection in humans: A syst...2021202620222024202150100150200250

Peers

Sharif Ismail
Comparison fields: 5 of 144
  • Infectious Diseases 763
  • General Health Professions 415
  • Modeling and Simulation 252
  • Clinical Psychology 243
  • Epidemiology 229
Replace Melisa Mei Jin Tan with:
Melisa Mei Jin Tan Singapore
Jean‐Paul Moatti France
Rhoda K. Wanyenze Uganda
Tafadzwa Dzinamarira South Africa
Y. Tony Yang United States
Katherine M. Harris United States
Michael Bartoš Australia
Alberto L. García‐Basteiro Spain
Khalid Alhasan Saudi Arabia
Yea‐Hung Chen United States
Sharif Ismail relative to Melisa Mei Jin Tan Singapore Melisa Mei Jin Tan's profile →
Citations per field
00.5×20×40×67×
Melisa Mei Jin Tan · 1×
Citations per year

Countries citing papers authored by Sharif Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Sharif Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharif Ismail

This figure shows the co-authorship network connecting the top 25 collaborators of Sharif Ismail. A scholar is included among the top collaborators of Sharif Ismail based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sharif Ismail. Sharif Ismail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 13
4 43
5 5
6 4
7 196
8 33
9 6
10 9
11 230
12 35
13
Refugees, healthcare and crises: informal Syrian health workers in Lebanon
11
14 32
15 2
16 2
17 46
18 65
19 108
20 1

About Sharif Ismail

Sharif Ismail is a scholar working on Modeling and Simulation, Emergency Medical Services and General Health Professions, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), COVID-19 and Mental Health (7 papers) and COVID-19 epidemiological studies (7 papers). The work is most often cited by research in Modeling and Simulation (252 citations), Infectious Diseases (763 citations) and Health (165 citations). Sharif Ismail has collaborated with scholars based in United Kingdom, United States and Lebanon. Frequent co-authors include Vanessa Saliba, Shamez Ladhani, Mary Ramsay, Jamie Lopez Bernal, Madhumita Shrotri, Samuel Rigby, Catherine Huntley, Nathan Post, Sarah Williams and Sharon J. Peacock. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

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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