Michelle J. Groome
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology 27
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 13
- Hepatology top 2%
- Hepatitis Viruses Studies and Epidemiology 16
- Epidemiology top 2%
- Pneumonia and Respiratory Infections 30
- Respiratory viral infections research 27
- Pneumocystis jirovecii pneumonia detection and treatment 16
- Influenza Virus Research Studies 12
- Health top 5%
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- Viral Infections and Immunology Research 15
- Co-authors
- Shabir A. MadhiCheryl CohenAnne von GottbergNevashan GovenderKathleen KahnJocelyn MoyesSibongile WalazaHarry Moultrie
- Journals
- Science (1 paper)The Lancet (1 paper)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- South AfricaUnited StatesUnited Kingdom
In The Last Decade
Michelle J. Groome
91 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Infectious Diseases 1.7k
- Modeling and Simulation 229
- Hepatology 344
- Epidemiology 1.3k
- Health 235
Countries citing papers authored by Michelle J. Groome
This map shows the geographic impact of Michelle J. Groome'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 Michelle J. Groome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle J. Groome more than expected).
Fields of papers citing papers by Michelle J. Groome
This network shows the impact of papers produced by Michelle J. Groome. 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 Michelle J. Groome. The network helps show where Michelle J. Groome may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michelle J. Groome, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 41 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 1 | |
| 12 | Neurological and growth outcomes in South African children with congenital cytomegalovirus: A cohort study | 2020 | 1 |
| 13 | 2020 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2019 | 1 | |
| 16 | 2017 | 28 | |
| 17 | 2015 | 15 | |
| 18 | 2015 | 57 | |
| 19 | 2015 | 23 | |
| 20 | 2013 | 63 |
About Michelle J. Groome
Michelle J. Groome is a scholar working on Modeling and Simulation, Infectious Diseases and Hepatology, having authored 98 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (30 papers), Viral gastroenteritis research and epidemiology (27 papers), Respiratory viral infections research (27 papers), Pneumocystis jirovecii pneumonia detection and treatment (16 papers), Hepatitis Viruses Studies and Epidemiology (16 papers), Viral Infections and Immunology Research (15 papers), COVID-19 epidemiological studies (13 papers) and Influenza Virus Research Studies (12 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Modeling and Simulation (229 citations) and Hepatology (344 citations). Michelle J. Groome has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Shabir A. Madhi, Cheryl Cohen, Anne von Gottberg, Nevashan Govender, Kathleen Kahn, Jocelyn Moyes, Sibongile Walaza, Harry Moultrie, Cari van Schalkwyk and Jonathan Dushoff. Their work appears in journals such as Science, The Lancet and SHILAP Revista de lepidopterología.
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.