Sumali Bajaj
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
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- Dementia and Cognitive Impairment Research
Papers in
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- COVID-19 epidemiological studies 7
-
- Influenza Virus Research Studies 4
- Co-authors
- Roy M. Anderson (6 shared papers)Kevin McRae‐McKee (5 shared papers)Christoforos Hadjichrysanthou (4 shared papers)Oliver G. Pybus (5 shared papers)Moritz U. G. Kraemer (6 shared papers)Christopher Ruis (1 shared paper)Frank de Wolf (3 shared papers)Verity Hill (1 shared paper)
- Journals
- Alzheimer s & Dementia (2 papers)Mathematical Biosciences (1 paper)Nature Communications (1 paper)Scientific Reports (1 paper)Nature Climate Change (1 paper)
- Partner nations
- United KingdomUnited StatesEcuador
In The Last Decade
Sumali Bajaj
17 papers receiving 296 citations
Sumali Bajaj's Hit Papers
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 45
- Psychiatry and Mental health 55
- Infectious Diseases 51
- Physiology 52
- Neurology 24
Countries citing papers authored by Sumali Bajaj
This map shows the geographic impact of Sumali Bajaj'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 Sumali Bajaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumali Bajaj more than expected).
Fields of papers citing papers by Sumali Bajaj
This network shows the impact of papers produced by Sumali Bajaj. 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 Sumali Bajaj. The network helps show where Sumali Bajaj may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumali Bajaj, 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 | 2020 | 67 | |
| 2 | 2021 | 50 | |
| 3 | COVID-19 pandemic interventions reshaped the global dispersal of seasonal influenza viruses Hit paper breakdown → | 2024 | 45 |
| 4 | 2020 | 36 | |
| 5 | 2022 | 25 | |
| 6 | 2019 | 19 | |
| 7 | 2024 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Sumali Bajaj
Sumali Bajaj is a scholar working on Modeling and Simulation, Epidemiology, Infectious Diseases, Psychiatry and Mental health and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 299 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Dementia and Cognitive Impairment Research (4 papers), Influenza Virus Research Studies (4 papers), Parasites and Host Interactions (2 papers), Alzheimer's disease research and treatments (2 papers), Viral Infections and Outbreaks Research (2 papers), COVID-19 Pandemic Impacts (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Modeling and Simulation (45 citations), Psychiatry and Mental health (55 citations), Infectious Diseases (51 citations), Physiology (52 citations) and Neurology (24 citations). Sumali Bajaj has collaborated with scholars based in United Kingdom, United States and Ecuador. Frequent co-authors include Roy M. Anderson, Kevin McRae‐McKee, Christoforos Hadjichrysanthou, Oliver G. Pybus, Moritz U. G. Kraemer, Christopher Ruis, Frank de Wolf, Verity Hill, Stephanie Evans and John Collinge. Their work appears in journals such as Alzheimer s & Dementia, Mathematical Biosciences, Nature Communications, Scientific Reports and Nature Climate Change.
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.