Nikki Smith
Impact in
- Neurology top 10%
- Long-Term Effects of COVID-19
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Neurology 13
- Long-Term Effects of COVID-19 13
-
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 1
- Co-authors
- Manoj Sivan (2 shared papers)Trisha Greenhalgh (2 shared papers)Emily Bullock (1 shared paper)Nawar Diar Bakerly (2 shared papers)Joseph Kwon (1 shared paper)Vasa Ćurčin (1 shared paper)Julie Lorraine Darbyshire (2 shared papers)Rory J O’Connor (1 shared paper)
- Journals
- Health Expectations (3 papers)International Journal of Infectious Diseases (1 paper)Nature Medicine (1 paper)International Journal of Epidemiology (1 paper)The Lancet Microbe (1 paper)
- Partner nations
- United KingdomSouth Africa
In The Last Decade
Nikki Smith
12 papers receiving 273 citations
Peers
Comparison fields: 5 of 34
- Neurology 117
- Infectious Diseases 140
- Biological Psychiatry 1
- Physical Therapy, Sports Therapy and Rehabilitation 4
- Modeling and Simulation 3
Countries citing papers authored by Nikki Smith
This map shows the geographic impact of Nikki Smith'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 Nikki Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikki Smith more than expected).
Fields of papers citing papers by Nikki Smith
This network shows the impact of papers produced by Nikki Smith. 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 Nikki Smith. The network helps show where Nikki Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikki Smith, 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 | 133 | |
| 2 | 2022 | 46 | |
| 3 | 2022 | 24 | |
| 4 | 2024 | 21 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 8 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2026 | 0 | |
| 15 | 2026 | 0 |
About Nikki Smith
Nikki Smith is a scholar working on Neurology, Infectious Diseases, Modeling and Simulation, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 15 papers that have together received 280 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (13 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Neurology (117 citations), Infectious Diseases (140 citations), Biological Psychiatry (1 citation), Physical Therapy, Sports Therapy and Rehabilitation (4 citations) and Modeling and Simulation (3 citations). Nikki Smith has collaborated with scholars based in United Kingdom and South Africa. Frequent co-authors include Manoj Sivan, Trisha Greenhalgh, Emily Bullock, Nawar Diar Bakerly, Joseph Kwon, Vasa Ćurčin, Julie Lorraine Darbyshire, Rory J O’Connor, Stavros Petrou and Rachael A Evans. Their work appears in journals such as Health Expectations, International Journal of Infectious Diseases, Nature Medicine, International Journal of Epidemiology and The Lancet Microbe.
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.