Favelle Lamb
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Sleep and Wakefulness Research 6
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- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 1
- Co-authors
- Cornelia Adlhoch (2 shared papers)Jonathan E. Suk (4 shared papers)Constantine I. Vardavas (4 shared papers)Katerina Nikitara (4 shared papers)Jo Leonardi‐Bee (4 shared papers)Richard G. Pebody (1 shared paper)Lisen Arnheim‐Dahlström (8 shared papers)Piers AN Mook (1 shared paper)
- Journals
- Eurosurveillance (2 papers)BMJ Open (2 papers)Genes and Immunity (1 paper)Journal of Neuroimmunology (1 paper)BMJ Paediatrics Open (1 paper)
- Partner nations
- SwedenGreeceUnited States
In The Last Decade
Favelle Lamb
16 papers receiving 460 citations
Favelle Lamb's Hit Papers
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 36
- Infectious Diseases 126
- Endocrine and Autonomic Systems 34
- Epidemiology 133
- Cognitive Neuroscience 75
Countries citing papers authored by Favelle Lamb
This map shows the geographic impact of Favelle Lamb'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 Favelle Lamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Favelle Lamb more than expected).
Fields of papers citing papers by Favelle Lamb
This network shows the impact of papers produced by Favelle Lamb. 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 Favelle Lamb. The network helps show where Favelle Lamb may publish in the future.
Co-authors
The 25 scholars most cited alongside Favelle Lamb, 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 | 2021 | 91 | |
| 2 | The impact of conflict on infectious disease: a systematic literature review Hit paper breakdown → | 2024 | 74 |
| 3 | 2022 | 66 | |
| 4 | 2014 | 40 | |
| 5 | 2021 | 38 | |
| 6 | 2024 | 35 | |
| 7 | 2015 | 27 | |
| 8 | 2023 | 22 | |
| 9 | 2017 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2017 | 13 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2014 | 4 | |
| 16 | 2016 | 3 |
About Favelle Lamb
Favelle Lamb is a scholar working on Cognitive Neuroscience, Infectious Diseases, Endocrine and Autonomic Systems, Epidemiology and Experimental and Cognitive Psychology, having authored 16 papers that have together received 470 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (6 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Sleep and related disorders (2 papers), Influenza Virus Research Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Infection Control and Ventilation (1 paper), COVID-19 Clinical Research Studies (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Modeling and Simulation (36 citations), Infectious Diseases (126 citations), Endocrine and Autonomic Systems (34 citations), Epidemiology (133 citations) and Cognitive Neuroscience (75 citations). Favelle Lamb has collaborated with scholars based in Sweden, Greece and United States. Frequent co-authors include Cornelia Adlhoch, Jonathan E. Suk, Constantine I. Vardavas, Katerina Nikitara, Jo Leonardi‐Bee, Richard G. Pebody, Lisen Arnheim‐Dahlström, Piers AN Mook, Andrew J. Amato‐Gauci and Angeliki Melidou. Their work appears in journals such as Eurosurveillance, BMJ Open, Genes and Immunity, Journal of Neuroimmunology and BMJ Paediatrics Open.
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.