Ellis Patrick
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
Papers in
-
- Single-cell and spatial transcriptomics 14
- Gene expression and cancer classification 8
- Bioinformatics and Genomic Networks 6
- Metabolomics and Mass Spectrometry Studies 4
- Epidemiology 11
- Co-authors
- Philip L. De Jager (8 shared papers)David A. Bennett (6 shared papers)Jean Yang (22 shared papers)Jishu Xu (4 shared papers)Andrew N. Harman (7 shared papers)Charles C. White (3 shared papers)Julie A. Schneider (6 shared papers)Heeva Baharlou (4 shared papers)
- Journals
- Bioinformatics (6 papers)Nature Communications (4 papers)Scientific Reports (3 papers)PLoS Pathogens (3 papers)Clinical & Translational Immunology (3 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Ellis Patrick
71 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 125
- Neurology 351
- Biological Psychiatry 62
- Biophysics 96
- Cancer Research 192
- Immunology 276
Countries citing papers authored by Ellis Patrick
This map shows the geographic impact of Ellis Patrick'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 Ellis Patrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellis Patrick more than expected).
Fields of papers citing papers by Ellis Patrick
This network shows the impact of papers produced by Ellis Patrick. 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 Ellis Patrick. The network helps show where Ellis Patrick may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellis Patrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 328 | |
| 2 | 2017 | 238 | |
| 3 | 2019 | 132 | |
| 4 | 2007 | 94 | |
| 5 | 2013 | 88 | |
| 6 | 2017 | 63 | |
| 7 | 2020 | 62 | |
| 8 | 2014 | 55 | |
| 9 | 2019 | 51 | |
| 10 | 2020 | 45 | |
| 11 | 2021 | 39 | |
| 12 | 2008 | 38 | |
| 13 | 2021 | 38 | |
| 14 | 2024 | 36 | |
| 15 | 2023 | 35 | |
| 16 | 2022 | 29 | |
| 17 | 2018 | 29 | |
| 18 | 2022 | 28 | |
| 19 | 2016 | 25 | |
| 20 | 2023 | 21 |
About Ellis Patrick
Ellis Patrick is a scholar working on Molecular Biology, Epidemiology, Biophysics, Immunology and Cancer Research, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (14 papers), Cell Image Analysis Techniques (10 papers), Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (6 papers), Alzheimer's disease research and treatments (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Immunotherapy and Immune Responses (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Neurology (351 citations), Biological Psychiatry (62 citations), Biophysics (96 citations), Cancer Research (192 citations) and Immunology (276 citations). Ellis Patrick has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Philip L. De Jager, David A. Bennett, Jean Yang, Jishu Xu, Andrew N. Harman, Charles C. White, Julie A. Schneider, Heeva Baharlou, Sara Mostafavi and Chris Gaiteri. Their work appears in journals such as Bioinformatics, Nature Communications, Scientific Reports, PLoS Pathogens and Clinical & Translational 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.