Henry Goodfellow
- Urology top 10%
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- Long-Term Effects of COVID-19 3
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- Digital Mental Health Interventions 4
- Behavioral Health and Interventions 2
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- Mobile Health and mHealth Applications 4
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- Urinary and Genital Oncology Studies 3
- Bladder and Urothelial Cancer Treatments 3
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- Genomics and Chromatin Dynamics 3
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- Fibromyalgia and Chronic Fatigue Syndrome Research 2
- Co-authors
- Li Yang HsuTheresa A. KadlecekByron B. Au‐YeungTanya S. FreedmanArthur WeissHaopeng WangFrançois KarchC. Peter Verrijzer
- Cited by
- UrologyImmunologyOncology
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Henry Goodfellow
13 papers receiving 734 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Urology 59
- Immunology 190
- Oncology 156
- Aging 9
- Neurology 68
Countries citing papers authored by Henry Goodfellow
This map shows the geographic impact of Henry Goodfellow'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 Henry Goodfellow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry Goodfellow more than expected).
Fields of papers citing papers by Henry Goodfellow
This network shows the impact of papers produced by Henry Goodfellow. 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 Henry Goodfellow. The network helps show where Henry Goodfellow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Henry Goodfellow, 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 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | Impact of fatigue as the primary determinant of functional limitations among patients with post-COVID-19 syndrome: a cross-sectional observational studybreakdown → | 2023 | 69 |
| 6 | 2022 | 5 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 68 | |
| 9 | 2020 | 2 | |
| 10 | 2017 | 47 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 0 | |
| 13 | 2013 | 85 | |
| 14 | 2010 | 280 | |
| 15 | 2009 | 122 | |
| 16 | 2007 | 44 |
About Henry Goodfellow
Henry Goodfellow is a scholar working on Applied Psychology, Critical Care and Intensive Care Medicine, General Health Professions, Neurology and Urology, having authored 16 papers that have together received 742 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (4 papers), Mobile Health and mHealth Applications (4 papers), Urinary and Genital Oncology Studies (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Long-Term Effects of COVID-19 (3 papers), Genomics and Chromatin Dynamics (3 papers), Behavioral Health and Interventions (2 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). The work is most often cited by research in Urology (59 citations), Immunology (190 citations), Oncology (156 citations), Aging (9 citations) and Neurology (68 citations). Henry Goodfellow has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Li Yang Hsu, Theresa A. Kadlecek, Byron B. Au‐Yeung, Tanya S. Freedman, Arthur Weiss, Haopeng Wang, François Karch, C. Peter Verrijzer, Sarah J. Bray and Yuri M. Moshkin. Their work appears in journals such as BMJ Open, British Journal of Urology, Molecular Cell, Journal of Clinical Oncology and ACM Transactions on Computer-Human Interaction.
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.