Patrick J. Heizer
Impact in
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- Lipid metabolism and disorders
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Caveolin-1 and cellular processes 3
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- Lipid metabolism and disorders 8
- Co-authors
- Stephen G. Young (19 shared papers)Loren G. Fong (19 shared papers)Thomas A. Weston (9 shared papers)Rachel S. Jung (10 shared papers)Yiping Tu (14 shared papers)Paul H. Kim (7 shared papers)Anne P. Beigneux (9 shared papers)Christopher M. Allan (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Journal of Lipid Research (5 papers)eLife (2 papers)Cell Death and Disease (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Patrick J. Heizer
22 papers receiving 520 citations
Peers
Comparison fields: 5 of 72
- Cardiology and Cardiovascular Medicine 148
- Endocrinology, Diabetes and Metabolism 96
- Cell Biology 88
- Cancer Research 70
- Structural Biology 6
Countries citing papers authored by Patrick J. Heizer
This map shows the geographic impact of Patrick J. Heizer'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 Patrick J. Heizer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J. Heizer more than expected).
Fields of papers citing papers by Patrick J. Heizer
This network shows the impact of papers produced by Patrick J. Heizer. 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 Patrick J. Heizer. The network helps show where Patrick J. Heizer may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick J. Heizer, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2019 | 67 | |
| 3 | 2018 | 63 | |
| 4 | 2018 | 53 | |
| 5 | 2017 | 44 | |
| 6 | 2018 | 42 | |
| 7 | 2020 | 29 | |
| 8 | 2019 | 28 | |
| 9 | 2021 | 23 | |
| 10 | 2017 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2018 | 6 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2017 | 2 |
About Patrick J. Heizer
Patrick J. Heizer is a scholar working on Cell Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 521 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (8 papers), Nuclear Structure and Function (6 papers), RNA Research and Splicing (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cholesterol and Lipid Metabolism (3 papers), Adipose Tissue and Metabolism (3 papers), Caveolin-1 and cellular processes (3 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (148 citations), Endocrinology, Diabetes and Metabolism (96 citations), Cell Biology (88 citations), Cancer Research (70 citations) and Structural Biology (6 citations). Patrick J. Heizer has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Stephen G. Young, Loren G. Fong, Thomas A. Weston, Rachel S. Jung, Yiping Tu, Paul H. Kim, Anne P. Beigneux, Christopher M. Allan, Cuiwen H. He and Peter Tontonoz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Lipid Research, eLife, Cell Death and Disease and Scientific Reports.
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.