Jo Dasgin
Impact in
- Neurology top 2%
- Long-Term Effects of COVID-19
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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
- Vagus Nerve Stimulation Research 1
Jo Dasgin
22 papers receiving 2.1k citations
Jo Dasgin's Hit Papers
Peers
Comparison fields: 5 of 114
- Neurology 762
- Infectious Diseases 727
- Critical Care and Intensive Care Medicine 144
- Immunology 268
- Clinical Psychology 179
Countries citing papers authored by Jo Dasgin
This map shows the geographic impact of Jo Dasgin'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 Jo Dasgin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo Dasgin more than expected).
Fields of papers citing papers by Jo Dasgin
This network shows the impact of papers produced by Jo Dasgin. 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 Jo Dasgin. The network helps show where Jo Dasgin 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 | Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study Hit paper breakdown → | 2021 | 470 |
| 3 | 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 |
| 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 | 56 | |
| 8 | 2022 | 37 | |
| 9 | 2023 | 35 | |
| 10 | 2023 | 24 | |
| 11 | 2024 | 23 | |
| 12 | 2023 | 22 | |
| 13 | 2023 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2024 | 16 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2024 | 6 |
About Jo Dasgin
Jo Dasgin is a scholar working on Infectious Diseases, Neurology, Critical Care and Intensive Care Medicine, Neurology and Immunology, having authored 22 papers that have together received 2.1k 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), Intensive Care Unit Cognitive Disorders (2 papers), Vagus Nerve Stimulation Research (1 paper), Respiratory viral infections research (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Neurology (762 citations), Infectious Diseases (727 citations), Critical Care and Intensive Care Medicine (144 citations), Immunology (268 citations) and Clinical Psychology (179 citations). Jo Dasgin has collaborated with scholars based in United Kingdom, United States and Japan. Their work appears in journals such as The Lancet Respiratory Medicine, Nature, EClinicalMedicine, Human Genetics and Genomics Advances 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.