Daniel Wells
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in ⓘ
- Aging 1
-
- Animal Virus Infections Studies 2
- Co-authors
- Simon Myers (2 shared papers)Min Jung (1 shared paper)Jannette Rusch (1 shared paper)Teresa Lambe (2 shared papers)Sarah C. Gilbert (2 shared papers)Jonathan Marchini (1 shared paper)Donald F. Conrad (1 shared paper)George M. Warimwe (2 shared papers)
- Journals
- eLife (2 papers)Nature Communications (1 paper)Development (1 paper)Vaccine (1 paper)npj Vaccines (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Daniel Wells
10 papers receiving 523 citations
Peers
Comparison fields: 5 of 82
- Infectious Diseases 165
- Animal Science and Zoology 62
- Aging 10
- Orthopedics and Sports Medicine 43
- Genetics 125
Countries citing papers authored by Daniel Wells
This map shows the geographic impact of Daniel Wells'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 Daniel Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wells more than expected).
Fields of papers citing papers by Daniel Wells
This network shows the impact of papers produced by Daniel Wells. 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 Daniel Wells. The network helps show where Daniel Wells may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wells, 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 | 2004 | 120 | |
| 2 | 2017 | 113 | |
| 3 | 2019 | 97 | |
| 4 | 2017 | 62 | |
| 5 | 2018 | 58 | |
| 6 | 2024 | 43 | |
| 7 | 2020 | 35 | |
| 8 | Frequency and clinical relevance of mosaic segmental aneuploidy in blastocyst stage human embryos | 2017 | 2 |
| 9 | Detection of haemoglobinopathies and chromosome aneuploidy from minute DNA samples using multiplex PCR | 1997 | 1 |
| 10 | 2015 | 1 | |
| 11 | 2026 | 0 |
About Daniel Wells
Daniel Wells is a scholar working on Aging, Animal Science and Zoology, Genetics, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 532 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Genetic Associations and Epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Animal Virus Infections Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Single-cell and spatial transcriptomics (1 paper), Hermeneutics and Narrative Identity (1 paper) and Health, Medicine and Society (1 paper). The work is most often cited by research in Infectious Diseases (165 citations), Animal Science and Zoology (62 citations), Aging (10 citations), Orthopedics and Sports Medicine (43 citations) and Genetics (125 citations). Daniel Wells has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Simon Myers, Min Jung, Jannette Rusch, Teresa Lambe, Sarah C. Gilbert, Jonathan Marchini, Donald F. Conrad, George M. Warimwe, Frederick J. Bex and Philip Babij. Their work appears in journals such as eLife, Nature Communications, Development, Vaccine and npj Vaccines.
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.