Farid Khan
- Infectious Diseases top 1%
- Health top 1%
- Modeling and Simulation top 0.5%
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- John M. McLaughlinDavid L. SwerdlowLuis JódarFrederick J. AnguloEric J. HaasSharon Alroy‐PreisKaijie PanGabriel Mircus
- Topics
- SARS-CoV-2 and COVID-19 Research (15 papers)Vaccine Coverage and Hesitancy (14 papers)COVID-19 epidemiological studies (9 papers)
- Journals
- The LancetPLoS ONEPEDIATRICS
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Farid Khan
35 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Infectious Diseases 1.2k
- Health 646
- Modeling and Simulation 557
- Epidemiology 531
- Pulmonary and Respiratory Medicine 125
Countries citing papers authored by Farid Khan
This map shows the geographic impact of Farid 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 Farid Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farid Khan more than expected).
Fields of papers citing papers by Farid Khan
This network shows the impact of papers produced by Farid 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 Farid Khan. The network helps show where Farid Khan may publish in the future.
Co-authorship network of co-authors of Farid Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Farid Khan. A scholar is included among the top collaborators of Farid Khan 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 Farid Khan. Farid Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | Seasonal trends in COVID-19 cases, hospitalizations, and mortality in the United States and Europebreakdown → | 83 |
| 6 | 6 | |
| 7 | 22 | |
| 8 | 10 | |
| 9 | 21 | |
| 10 | 19 | |
| 11 | 79 | |
| 12 | Impact and effectiveness of mRNA BNT162b2 vaccine against SARS-CoV-2 infections and COVID-19 cases, hospitalisations, and deaths following a nationwide vaccination campaign in Israel: an observational study using national surveillance databreakdown → | 1042 |
| 13 | 2 | |
| 14 | 46 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 129 | |
| 19 | 45 | |
| 20 | 40 |
About Farid Khan
Farid Khan is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), Vaccine Coverage and Hesitancy (14 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Modeling and Simulation (557 citations), Health (646 citations) and Infectious Diseases (1.2k citations). Farid Khan has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include John M. McLaughlin, David L. Swerdlow, Luis Jódar, Frederick J. Angulo, Eric J. Haas, Sharon Alroy‐Preis, Kaijie Pan, Gabriel Mircus, Jo Southern and Emilia Anis. Their work appears in journals such as The Lancet, PLoS ONE and PEDIATRICS.
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.