Helen Priddle

2.4k citations
22 papers · 1.9k indexed · 1 hit paper · h-index 16

Helen Priddle

22 papers receiving 1.9k citations

Hit Papers

Impaired B and T Cell Antigen Receptor Signaling in p110δ...7612002202620102018250500750

Peers

Helen Priddle
Comparison fields: 5 of 93
  • Immunology and Allergy 241
  • Genetics 276
  • Immunology 461
  • Molecular Biology 1.2k
  • Cell Biology 270
Replace Martin Hagedorn with:
Martin Hagedorn France
Roger A. Fleischman United States
Minke E. Binnerts Netherlands
Oran Ayalon Israel
L J Old United States
Maurizio Alimandi Italy
Mikaela Grönholm Finland
Cuiling Zhong United States
Elizabeth Clayton United Kingdom
Jennifer Johnson United States
Helen Priddle relative to Martin Hagedorn France Martin Hagedorn's profile →
Citations per field
00.5×1.5×2.1×
Martin Hagedorn · 1×
Citations per year

Countries citing papers authored by Helen Priddle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Helen Priddle Line = papers co-authored together Helen Priddle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20224
2 20212
3 202115
4 201510
5 20108
6 200912
7 200825
8 200835
9 200777
10 2007117
11 2006233
12 200553
13 200573
14 200460
15 200430
16 200323
17 200319
18
Impaired B and T Cell Antigen Receptor Signaling in p110δ PI 3-Kinase Mutant Micebreakdown →
2002761
19 2000175
20 1998144

About Helen Priddle

Helen Priddle is a scholar working on Reproductive Medicine, Molecular Biology, Cell Biology, Immunology and Allergy and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (7 papers), Renal and related cancers (4 papers), Epigenetics and DNA Methylation (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Reproductive Biology and Fertility (3 papers), 3D Printing in Biomedical Research (3 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Immunology and Allergy (241 citations), Genetics (276 citations), Immunology (461 citations), Molecular Biology (1.2k citations) and Cell Biology (270 citations). Helen Priddle has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Chris Denning, Lorraine Young, Andrew J. H. Smith, Cinzia Allegrucci, Géraldine Farjot, Klaus Okkenhaug, Michael D. Waterfield, Bart Vanhaesebroeck, Antonio Bilancio and Ashreena Salpekar. Their work appears in journals such as Stem Cells, Reproductive BioMedicine Online, The Journal of Cell Biology, The International Journal of Developmental Biology and European Journal of Biochemistry.

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.

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