Patricia T. Illing
- Immunology top 2%
- Pharmacology top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Co-authors
- Anthony W. PurcellJamie RossjohnJames McCluskeyJ.P. VivianMandvi BharadwajNadine L. DudekNicole A. MifsudLyudmila Kostenko
- Topics
- vaccines and immunoinformatics approaches (18 papers)Drug-Induced Adverse Reactions (14 papers)T-cell and B-cell Immunology (14 papers)
- Cited by
- ImmunologyPharmacologyRheumatology
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Patricia T. Illing
40 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Immunology 924
- Pharmacology 573
- Molecular Biology 547
- Radiology, Nuclear Medicine and Imaging 277
- Oncology 268
Countries citing papers authored by Patricia T. Illing
This map shows the geographic impact of Patricia T. Illing'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 Patricia T. Illing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia T. Illing more than expected).
Fields of papers citing papers by Patricia T. Illing
This network shows the impact of papers produced by Patricia T. Illing. 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 Patricia T. Illing. The network helps show where Patricia T. Illing may publish in the future.
Co-authorship network of co-authors of Patricia T. Illing
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia T. Illing. A scholar is included among the top collaborators of Patricia T. Illing 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 Patricia T. Illing. Patricia T. Illing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 20 | |
| 10 | 14 | |
| 11 | 4 | |
| 12 | 37 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 28 | |
| 16 | 17 | |
| 17 | 42 | |
| 18 | 119 | |
| 19 | 46 | |
| 20 | Immune self-reactivity triggered by drug-modified HLA-peptide repertoirebreakdown → | 513 |
About Patricia T. Illing
Patricia T. Illing is a scholar working on Immunology, Pharmacology and Rheumatology, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (18 papers), Drug-Induced Adverse Reactions (14 papers) and T-cell and B-cell Immunology (14 papers). The work is most often cited by research in Immunology (924 citations), Pharmacology (573 citations) and Rheumatology (256 citations). Patricia T. Illing has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Anthony W. Purcell, Jamie Rossjohn, James McCluskey, J.P. Vivian, Mandvi Bharadwaj, Nadine L. Dudek, Nicole A. Mifsud, Lyudmila Kostenko, Zhenjun Chen and Lars Kjer‐Nielsen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.