Olivia Hatton
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 10%
- Viral-associated cancers and disorders
- CAR-T cell therapy research
Papers in
- Oncology 10
- Viral-associated cancers and disorders 10
-
- Lymphoma Diagnosis and Treatment 8
- Co-authors
- Olivia M. Martinez (13 shared papers)Sheri M. Krams (11 shared papers)Allison Nau (1 shared paper)Florian Rubelt (1 shared paper)Mark M. Davis (1 shared paper)Cecilia S. Lindestam Arlehamn (1 shared paper)Thomas J. Scriba (1 shared paper)Arnold Han (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Blood (1 paper)American Journal of Transplantation (1 paper)Frontiers in Immunology (1 paper)mBio (1 paper)
- Partner nations
- United StatesItalySouth Africa
In The Last Decade
Olivia Hatton
16 papers receiving 994 citations
Olivia Hatton's Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 548
- Oncology 381
- Pathology and Forensic Medicine 111
- Infectious Diseases 93
- Radiology, Nuclear Medicine and Imaging 97
Countries citing papers authored by Olivia Hatton
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
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-authors
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identifying specificity groups in the T cell receptor repertoire Hit paper breakdown → | 2017 | 618 |
| 2 | 2014 | 153 | |
| 3 | 2016 | 43 | |
| 4 | 2011 | 41 | |
| 5 | 2008 | 33 | |
| 6 | 2012 | 32 | |
| 7 | 2020 | 25 | |
| 8 | 2012 | 19 | |
| 9 | 2013 | 15 | |
| 10 | 2019 | 10 | |
| 11 | 2020 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2007 | 2 | |
| 15 | 2014 | 1 | |
| 16 | 2020 | 1 |
About Olivia Hatton
Olivia Hatton is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Molecular Biology and Epidemiology, having authored 16 papers that have together received 1.0k 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), Bacillus and Francisella bacterial research (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Immunology (548 citations), Oncology (381 citations), Pathology and Forensic Medicine (111 citations), Infectious Diseases (93 citations) and Radiology, Nuclear Medicine and Imaging (97 citations). Olivia Hatton has collaborated with scholars based in United States, Italy and South Africa. Frequent co-authors include Olivia M. Martinez, Sheri M. Krams, Allison Nau, Florian Rubelt, Mark M. Davis, Cecilia S. Lindestam Arlehamn, Thomas J. Scriba, Arnold Han, Xuhuai Ji and Alessandro Sette. Their work appears in journals such as Journal of Biological Chemistry, Blood, American Journal of Transplantation, Frontiers in Immunology and mBio.
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.