Olivia Hatton

1.6k citations
16 papers · 955 indexed · 1 hit paper · h-index 10

Olivia Hatton

16 papers receiving 948 citations

Hit Papers

Identifying specificity groups in the T cell receptor rep...5952017202620202023100200300400500

Peers

Olivia Hatton
Comparison fields: 5 of 80
  • Immunology 593
  • Oncology 400
  • Pathology and Forensic Medicine 116
  • Infectious Diseases 101
  • Molecular Biology 313
Replace Michelle A. Neller with:
Michelle A. Neller Australia
Carine Paturel France
Sibille Humme Germany
Sonja Meixlsperger Germany
Nilushi S. De Silva United States
Sébastien Storck France
Franziska Blaeschke Germany
Carmela La Mendola Italy
Sarah L. Buchan United Kingdom
Ronald R. Nepomuceno United States
Olivia Hatton relative to Michelle A. Neller Australia Michelle A. Neller's profile →
Citations per field
00.5×1.7×
Michelle A. Neller · 1×
Citations per year

Countries citing papers authored by Olivia Hatton

Since Specialization
Citations

This map shows the geographic impact of Olivia Hatton'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 Olivia Hatton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia Hatton more than expected).

Fields of papers citing papers by Olivia Hatton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olivia Hatton. 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 Olivia Hatton. The network helps show where Olivia Hatton may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Olivia Hatton, 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 Olivia Hatton Line = papers co-authored together Olivia Hatton links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20223
2 20223
3 202021
4 20201
5 20203
6 20199
7
Identifying specificity groups in the T cell receptor repertoirebreakdown →
2017595
8 201640
9 2014143
10 20141
11 201314
12 201216
13 201232
14 201140
15 200832
16 20072

About Olivia Hatton

Olivia Hatton is a scholar working on Pathology and Forensic Medicine, Immunology and Oncology, having authored 16 papers that have together received 955 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (10 papers), Lymphoma Diagnosis and Treatment (8 papers), Immune Cell Function and Interaction (6 papers), Toxoplasma gondii Research Studies (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Cytomegalovirus and herpesvirus research (2 papers), vaccines and immunoinformatics approaches (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Immunology (593 citations), Oncology (400 citations) and Pathology and Forensic Medicine (116 citations). Olivia Hatton has collaborated with scholars based in United States, South Africa and Italy. Frequent co-authors include Olivia M. Martinez, Sheri M. Krams, Allison Nau, Huang Huang, Alessandro Sette, Jacob Glanville, Lisa E. Wagar, Scott D. Boyd, Thomas J. Scriba and Mark M. Davis. Their work appears in journals such as Journal of Biological Chemistry, Frontiers in Microbiology, Scientific Reports, Analytical Chemistry and Frontiers in Immunology.

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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