Favelle Lamb
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 3
- Viral Infections and Outbreaks Research 2
-
- Sleep and Wakefulness Research 6
- Co-authors
- Cornelia Adlhoch (2 shared papers)Andrew J. Amato‐Gauci (1 shared paper)Lisen Arnheim‐Dahlström (8 shared papers)Angeliki Melidou (1 shared paper)Richard Pebody (1 shared paper)Piers Mook (1 shared paper)Jo Leonardi‐Bee (7 shared papers)Katerina Nikitara (7 shared papers)
- Journals
- BMJ Open (2 papers)Journal of Neuroimmunology (1 paper)BMJ Paediatrics Open (1 paper)Journal of Autoimmunity (1 paper)Pharmacoepidemiology and Drug Safety (1 paper)
- Partner nations
- SwedenUnited KingdomGreece
In The Last Decade
Favelle Lamb
16 papers receiving 326 citations
Favelle Lamb's Hit Papers
Peers
Comparison fields: 5 of 70
- Infectious Diseases 119
- Modeling and Simulation 28
- Endocrine and Autonomic Systems 34
- Epidemiology 137
- Cognitive Neuroscience 67
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 | 79 | |
| 2 | 2022 | 55 | |
| 3 | The impact of conflict on infectious disease: a systematic literature review Hit paper breakdown → | 2024 | 42 |
| 4 | 2014 | 38 | |
| 5 | 2024 | 25 | |
| 6 | 2015 | 23 | |
| 7 | 2023 | 16 | |
| 8 | 2017 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 2018 | 11 | |
| 11 | 2017 | 5 | |
| 12 | 2014 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 0 |
About Favelle Lamb
Favelle Lamb is a scholar working on Infectious Diseases, Cognitive Neuroscience, Oncology, Epidemiology and Experimental and Cognitive Psychology, having authored 17 papers that have together received 335 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (6 papers), COVID-19 and healthcare impacts (5 papers), COVID-19 Clinical Research Studies (3 papers), Sleep and related disorders (3 papers), Influenza Virus Research Studies (2 papers), COVID-19 Pandemic Impacts (2 papers), COVID-19 epidemiological studies (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Infectious Diseases (119 citations), Modeling and Simulation (28 citations), Endocrine and Autonomic Systems (34 citations), Epidemiology (137 citations) and Cognitive Neuroscience (67 citations). Favelle Lamb has collaborated with scholars based in Sweden, United Kingdom and Greece. Frequent co-authors include Cornelia Adlhoch, Andrew J. Amato‐Gauci, Lisen Arnheim‐Dahlström, Angeliki Melidou, Richard Pebody, Piers Mook, Jo Leonardi‐Bee, Katerina Nikitara, Constantine Vardavas and Jonathan E. Suk. Their work appears in journals such as BMJ Open, Journal of Neuroimmunology, BMJ Paediatrics Open, Journal of Autoimmunity and Pharmacoepidemiology and Drug Safety.
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.