Julia I. Ellyard
- Immunology top 1%
- Molecular Biology
- Oncology top 5%
- Rheumatology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Christopher R. ParishDanielle T. AveryStuart G. TangyeLjubov SimsonCarola G. VinuesaPhilip D. HodgkinCharles R. MackayFabienne Mackay
- Topics
- Immune Cell Function and Interaction (15 papers)T-cell and B-cell Immunology (14 papers)Immunotherapy and Immune Responses (6 papers)
- Cited by
- ImmunologyRheumatologyOncology
- 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
- Molecular Biology 474
- Oncology 468
- Rheumatology 293
- Radiology, Nuclear Medicine and Imaging 180
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 of co-authors of Julia I. Ellyard
This figure shows the co-authorship network connecting the top 25 collaborators of Julia I. Ellyard. A scholar is included among the top collaborators of Julia I. Ellyard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia I. Ellyard. Julia I. Ellyard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 139 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | Class-Switch Recombination Occurs Infrequently in Germinal Centersbreakdown → | 335 |
| 8 | 20 | |
| 9 | 23 | |
| 10 | The Transcriptional Repressor Bcl-6 Directs T Follicular Helper Cell Lineage Commitmentbreakdown → | 951 |
| 11 | 67 | |
| 12 | 158 | |
| 13 | 174 | |
| 14 | 104 | |
| 15 | 4 | |
| 16 | 55 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 406 | |
| 20 | 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) and Immunotherapy and Immune Responses (6 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.