Julia I. Ellyard
- Immunology top 1%
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 6
- interferon and immune responses 3
- Immunodeficiency and Autoimmune Disorders 3
- Immune Response and Inflammation 3
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research 6
- Oncology top 5%
- Immunology and Allergy top 10%
- Hematology top 10%
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- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Christopher R. ParishDanielle T. AveryStuart G. TangyeLjubov SimsonCarola G. VinuesaPhilip D. HodgkinCharles R. MackayFabienne Mackay
- Cited by
- ImmunologyRheumatologyOncology
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Julia I. Ellyard
28 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Immunology 2.2k
- Rheumatology 293
- Oncology 468
- Immunology and Allergy 83
- Hematology 147
Countries citing papers authored by Julia I. Ellyard
This map shows the geographic impact of Julia I. Ellyard'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 Julia I. Ellyard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia I. Ellyard more than expected).
Fields of papers citing papers by Julia I. Ellyard
This network shows the impact of papers produced by Julia I. Ellyard. 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 Julia I. Ellyard. The network helps show where Julia I. Ellyard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julia I. Ellyard, 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 | 2024 | 26 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 139 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 6 | |
| 7 | Class-Switch Recombination Occurs Infrequently in Germinal Centersbreakdown → | 2019 | 335 |
| 8 | 2010 | 20 | |
| 9 | 2010 | 23 | |
| 10 | The Transcriptional Repressor Bcl-6 Directs T Follicular Helper Cell Lineage Commitmentbreakdown → | 2009 | 951 |
| 11 | 2007 | 67 | |
| 12 | 2007 | 158 | |
| 13 | 2007 | 174 | |
| 14 | 2005 | 104 | |
| 15 | 2005 | 4 | |
| 16 | 2005 | 55 | |
| 17 | 2004 | 2 | |
| 18 | 2004 | 1 | |
| 19 | 2003 | 406 | |
| 20 | 2003 | 12 |
About Julia I. Ellyard
Julia I. Ellyard is a scholar working on Immunology, Rheumatology and Physiology, having authored 28 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (6 papers), Systemic Lupus Erythematosus Research (6 papers), interferon and immune responses (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Immune Response and Inflammation (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Immunology (2.2k citations), Rheumatology (293 citations) and Oncology (468 citations). Julia I. Ellyard has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Christopher R. Parish, Danielle T. Avery, Stuart G. Tangye, Ljubov Simson, Carola G. Vinuesa, Philip D. Hodgkin, Charles R. Mackay, Fabienne Mackay, Ian A. Parish and Michelle A. Linterman. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.