Meera Chand
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 13
- COVID-19 Clinical Research Studies 12
- SARS-CoV-2 detection and testing 7
-
- Diphtheria, Corynebacterium, and Tetanus 4
- Co-authors
- Mary RamsayMaria ZambonRichard MyersKevin BrownJamie Lopez BernalNatalie GrovesJulia StoweNick Andrews
- Journals
- Eurosurveillance (5 papers)Epidemiology and Infection (4 papers)Journal of Hospital Infection (4 papers)The Lancet Regional Health - Europe (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United KingdomNetherlandsSwitzerland
In The Last Decade
Meera Chand
47 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Modeling and Simulation 656
- Infectious Diseases 2.4k
- Health 677
- Animal Science and Zoology 269
- Epidemiology 449
Countries citing papers authored by Meera Chand
This map shows the geographic impact of Meera Chand'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 Meera Chand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meera Chand more than expected).
Fields of papers citing papers by Meera Chand
This network shows the impact of papers produced by Meera Chand. 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 Meera Chand. The network helps show where Meera Chand may publish in the future.
Co-authors
The 25 scholars most cited alongside Meera Chand, 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 | 2024 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 18 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 106 | |
| 11 | 2021 | 15 | |
| 12 | Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant Hit paper breakdown → | 2021 | 1738 |
| 13 | 2017 | 47 | |
| 14 | 2011 | 8 | |
| 15 | 2001 | 85 | |
| 16 | 1997 | 3 | |
| 17 | 1997 | 8 | |
| 18 | 1996 | 33 | |
| 19 | 1988 | 11 | |
| 20 | 1988 | 1 |
About Meera Chand
Meera Chand is a scholar working on Infectious Diseases, Endocrinology, Clinical Biochemistry, Critical Care and Intensive Care Medicine and Applied Microbiology and Biotechnology, having authored 50 papers that have together received 3.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), COVID-19 Clinical Research Studies (12 papers), SARS-CoV-2 detection and testing (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Streptococcal Infections and Treatments (5 papers), Mycobacterium research and diagnosis (5 papers), T-cell and B-cell Immunology (4 papers) and Diphtheria, Corynebacterium, and Tetanus (4 papers). The work is most often cited by research in Modeling and Simulation (656 citations), Infectious Diseases (2.4k citations), Health (677 citations), Animal Science and Zoology (269 citations) and Epidemiology (449 citations). Meera Chand has collaborated with scholars based in United Kingdom, Netherlands and Switzerland. Frequent co-authors include Mary Ramsay, Maria Zambon, Richard Myers, Kevin Brown, Jamie Lopez Bernal, Natalie Groves, Julia Stowe, Nick Andrews, Eileen Gallagher and Susan Hopkins. Their work appears in journals such as Eurosurveillance, Epidemiology and Infection, Journal of Hospital Infection, The Lancet Regional Health - Europe and The Journal of Immunology.
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.