Leanne Milner
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
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- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 4
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- Long-Term Effects of COVID-19 6
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Vagus Nerve Stimulation Research 1
Leanne Milner
22 papers receiving 2.0k citations
Leanne Milner's Hit Papers
Peers
Comparison fields: 5 of 110
- Infectious Diseases 824
- Neurology 548
- Critical Care and Intensive Care Medicine 101
- Immunology 299
- Genetics 191
Countries citing papers authored by Leanne Milner
This map shows the geographic impact of Leanne Milner'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 Leanne Milner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leanne Milner more than expected).
Fields of papers citing papers by Leanne Milner
This network shows the impact of papers produced by Leanne Milner. 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 Leanne Milner. The network helps show where Leanne Milner may publish in the future.
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All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 641 |
| 2 | Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study Hit paper breakdown → | 2022 | 307 |
| 3 | Baricitinib in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial and updated meta-analysis Hit paper breakdown → | 2022 | 230 |
| 4 | Whole-genome sequencing reveals host factors underlying critical COVID-19 Hit paper breakdown → | 2022 | 228 |
| 5 | GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 Hit paper breakdown → | 2023 | 121 |
| 6 | 2022 | 86 | |
| 7 | 2023 | 83 | |
| 8 | Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease Hit paper breakdown → | 2024 | 65 |
| 9 | 2023 | 56 | |
| 10 | 2023 | 35 | |
| 11 | 2023 | 24 | |
| 12 | 2024 | 23 | |
| 13 | 2023 | 22 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2024 | 16 | |
| 17 | 2023 | 11 | |
| 18 | 2023 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 8 |
About Leanne Milner
Leanne Milner is a scholar working on Infectious Diseases, Neurology, Neurology, Critical Care and Intensive Care Medicine and Immunology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (6 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), interferon and immune responses (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Vagus Nerve Stimulation Research (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Infectious Diseases (824 citations), Neurology (548 citations), Critical Care and Intensive Care Medicine (101 citations), Immunology (299 citations) and Genetics (191 citations). Leanne Milner has collaborated with scholars based in United Kingdom, United States and Japan. Their work appears in journals such as Nature, The Lancet Respiratory Medicine, The Lancet, EClinicalMedicine and The Lancet Child & Adolescent Health.
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.