Riyazuddin Mohammad Shaik
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 detection and testing 2
-
- COVID-19 epidemiological studies 3
- Co-authors
- Hiam Chemaitelly (7 shared papers)Anvar Hassan Kaleeckal (8 shared papers)Roberto Bertollini (7 shared papers)Ali Nizar Latif (8 shared papers)Laith J. Abu‐Raddad (7 shared papers)Peter Coyle (6 shared papers)Adeel A. Butt (6 shared papers)Abdullatif Al Khal (6 shared papers)
- Journals
- Journal of Global Health (2 papers)Clinical Infectious Diseases (1 paper)Scientific Reports (1 paper)Journal of Infection and Public Health (1 paper)PLoS ONE (1 paper)
- Partner nations
- QatarUnited StatesLebanon
In The Last Decade
Riyazuddin Mohammad Shaik
8 papers receiving 181 citations
Peers
Comparison fields: 5 of 43
- Infectious Diseases 157
- Modeling and Simulation 39
- Health 26
- Neurology 32
- Obstetrics and Gynecology 13
Countries citing papers authored by Riyazuddin Mohammad Shaik
This map shows the geographic impact of Riyazuddin Mohammad Shaik'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 Riyazuddin Mohammad Shaik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riyazuddin Mohammad Shaik more than expected).
Fields of papers citing papers by Riyazuddin Mohammad Shaik
This network shows the impact of papers produced by Riyazuddin Mohammad Shaik. 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 Riyazuddin Mohammad Shaik. The network helps show where Riyazuddin Mohammad Shaik may publish in the future.
Co-authors
The 25 scholars most cited alongside Riyazuddin Mohammad Shaik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 80 | |
| 2 | 2022 | 31 | |
| 3 | 2022 | 21 | |
| 4 | 2021 | 17 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 13 | |
| 7 | 2022 | 1 | |
| 8 | 2023 | 1 |
About Riyazuddin Mohammad Shaik
Riyazuddin Mohammad Shaik is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Health and Neurology, having authored 8 papers that have together received 181 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (5 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 detection and testing (2 papers), Long-Term Effects of COVID-19 (1 paper), COVID-19 and healthcare impacts (1 paper), Influenza Virus Research Studies (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Infectious Diseases (157 citations), Modeling and Simulation (39 citations), Health (26 citations), Neurology (32 citations) and Obstetrics and Gynecology (13 citations). Riyazuddin Mohammad Shaik has collaborated with scholars based in Qatar, United States and Lebanon. Frequent co-authors include Hiam Chemaitelly, Anvar Hassan Kaleeckal, Roberto Bertollini, Ali Nizar Latif, Laith J. Abu‐Raddad, Peter Coyle, Adeel A. Butt, Abdullatif Al Khal, Hadi M. Yassine and Muna Almaslamani. Their work appears in journals such as Journal of Global Health, Clinical Infectious Diseases, Scientific Reports, Journal of Infection and Public Health 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.