Helen Priddle
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Pluripotent Stem Cells Research 12
- CRISPR and Genetic Engineering 7
- Renal and related cancers 3
- Epigenetics and DNA Methylation 3
- Surgery 4
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Chris Denning (8 shared papers)Lorraine Young (8 shared papers)Cinzia Allegrucci (7 shared papers)Andrew J. H. Smith (2 shared papers)Stephen Meek (1 shared paper)Géraldine Farjot (1 shared paper)Klaus Okkenhaug (1 shared paper)Antonio Bilancio (1 shared paper)
- Journals
- Stem Cells (3 papers)Reproductive BioMedicine Online (2 papers)Human Molecular Genetics (1 paper)Genome Research (1 paper)Developmental Dynamics (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Helen Priddle
22 papers receiving 2.0k citations
Helen Priddle's Hit Papers
Peers
Comparison fields: 5 of 94
- Immunology and Allergy 245
- Genetics 267
- Immunology 441
- Molecular Biology 1.2k
- Cell Biology 275
Countries citing papers authored by Helen Priddle
This map shows the geographic impact of Helen Priddle'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 Helen Priddle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Priddle more than expected).
Fields of papers citing papers by Helen Priddle
This network shows the impact of papers produced by Helen Priddle. 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 Helen Priddle. The network helps show where Helen Priddle may publish in the future.
Co-authors
The 25 scholars most cited alongside Helen Priddle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Impaired B and T Cell Antigen Receptor Signaling in p110δ PI 3-Kinase Mutant Mice Hit paper breakdown → | 2002 | 784 |
| 2 | 2006 | 249 | |
| 3 | 2000 | 187 | |
| 4 | 1998 | 153 | |
| 5 | 2007 | 127 | |
| 6 | 2007 | 81 | |
| 7 | 2005 | 75 | |
| 8 | 2004 | 64 | |
| 9 | 2005 | 57 | |
| 10 | 2008 | 41 | |
| 11 | 2004 | 34 | |
| 12 | 2005 | 30 | |
| 13 | 2008 | 28 | |
| 14 | 2006 | 25 | |
| 15 | 2003 | 24 | |
| 16 | 2003 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2009 | 14 | |
| 19 | 2015 | 11 | |
| 20 | 2010 | 8 |
About Helen Priddle
Helen Priddle is a scholar working on Molecular Biology, Surgery, Reproductive Medicine, Public Health, Environmental and Occupational Health and Cell Biology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (7 papers), Renal and related cancers (3 papers), Epigenetics and DNA Methylation (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), 3D Printing in Biomedical Research (3 papers), Reproductive Biology and Fertility (3 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Immunology and Allergy (245 citations), Genetics (267 citations), Immunology (441 citations), Molecular Biology (1.2k citations) and Cell Biology (275 citations). Helen Priddle has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Chris Denning, Lorraine Young, Cinzia Allegrucci, Andrew J. H. Smith, Stephen Meek, Géraldine Farjot, Klaus Okkenhaug, Antonio Bilancio, Ashreena Salpekar and Sara Sancho. Their work appears in journals such as Stem Cells, Reproductive BioMedicine Online, Human Molecular Genetics, Genome Research and Developmental Dynamics.
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.