Gerard Pernes
Impact in
- Immunology top 10%
- Immune cells in cancer
- Atherosclerosis and Cardiovascular Diseases
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
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- Cardiac Fibrosis and Remodeling
Papers in
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- S100 Proteins and Annexins 2
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- Immune cells in cancer 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Co-authors
- Andrew Murphy (12 shared papers)Prabhakara R. Nagareddy (5 shared papers)Michelle Flynn (3 shared papers)Graeme I. Lancaster (10 shared papers)Beatriz Y. Hanaoka (3 shared papers)Dragana Dragoljevic (3 shared papers)Gopalkrishna Sreejit (2 shared papers)Kevin Huynh (6 shared papers)
- Journals
- Clinical & Translational Immunology (2 papers)iScience (1 paper)Nature Cell Biology (1 paper)Journal of Lipid Research (1 paper)European Heart Journal (1 paper)
- Partner nations
- AustraliaUnited States
In The Last Decade
Gerard Pernes
13 papers receiving 551 citations
Peers
Comparison fields: 5 of 71
- Immunology 257
- Cardiology and Cardiovascular Medicine 122
- Cancer Research 73
- Molecular Biology 268
- Biological Psychiatry 9
Countries citing papers authored by Gerard Pernes
This map shows the geographic impact of Gerard Pernes'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 Gerard Pernes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Pernes more than expected).
Fields of papers citing papers by Gerard Pernes
This network shows the impact of papers produced by Gerard Pernes. 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 Gerard Pernes. The network helps show where Gerard Pernes may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerard Pernes, 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 | 2020 | 211 | |
| 2 | 2019 | 79 | |
| 3 | 2018 | 66 | |
| 4 | 2021 | 55 | |
| 5 | 2024 | 42 | |
| 6 | 2020 | 33 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 20 | |
| 9 | 2020 | 12 | |
| 10 | 2023 | 4 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 1 |
About Gerard Pernes
Gerard Pernes is a scholar working on Molecular Biology, Immunology, Physiology, Hematology and Epidemiology, having authored 13 papers that have together received 551 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Immune cells in cancer (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cancer, Lipids, and Metabolism (2 papers), Platelet Disorders and Treatments (2 papers), Fatty Acid Research and Health (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Immunology (257 citations), Cardiology and Cardiovascular Medicine (122 citations), Cancer Research (73 citations), Molecular Biology (268 citations) and Biological Psychiatry (9 citations). Gerard Pernes has collaborated with scholars based in Australia and United States. Frequent co-authors include Andrew Murphy, Prabhakara R. Nagareddy, Michelle Flynn, Graeme I. Lancaster, Beatriz Y. Hanaoka, Dragana Dragoljevic, Gopalkrishna Sreejit, Kevin Huynh, Peter J. Meikle and Annas Al‐Sharea. Their work appears in journals such as Clinical & Translational Immunology, iScience, Nature Cell Biology, Journal of Lipid Research and European Heart Journal.
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.