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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- RNA Research and Splicing 6
- Nuclear Structure and Function 6
- Peroxisome Proliferator-Activated Receptors 2
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- Lipid metabolism and disorders 7
- Co-authors
- Loren G. Fong (17 shared papers)Stephen G. Young (17 shared papers)Thomas A. Weston (9 shared papers)Rachel S. Jung (10 shared papers)Yiping Tu (12 shared papers)Paul H. Kim (7 shared papers)Anne P. Beigneux (7 shared papers)Christopher M. Allan (6 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Journal of Lipid Research (5 papers)eLife (1 paper)Biochemical and Biophysical Research Communications (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesAustraliaDenmark
In The Last Decade
Patrick J. Heizer
18 papers receiving 454 citations
Peers
Comparison fields: 5 of 70
- Cardiology and Cardiovascular Medicine 128
- Endocrinology, Diabetes and Metabolism 82
- Cell Biology 77
- Cancer Research 54
- Molecular Biology 246
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2019 | 62 | |
| 3 | 2018 | 58 | |
| 4 | 2018 | 45 | |
| 5 | 2017 | 44 | |
| 6 | 2018 | 38 | |
| 7 | 2019 | 27 | |
| 8 | 2020 | 27 | |
| 9 | 2021 | 22 | |
| 10 | 2017 | 13 | |
| 11 | 2023 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2018 | 6 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 |
About Patrick J. Heizer
Patrick J. Heizer is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Cancer Research and Surgery, having authored 18 papers that have together received 456 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (7 papers), RNA Research and Splicing (6 papers), Nuclear Structure and Function (6 papers), Adipose Tissue and Metabolism (3 papers), Cholesterol and Lipid Metabolism (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Parvovirus B19 Infection Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (128 citations), Endocrinology, Diabetes and Metabolism (82 citations), Cell Biology (77 citations), Cancer Research (54 citations) and Molecular Biology (246 citations). Patrick J. Heizer has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Loren G. Fong, Stephen G. Young, Thomas A. Weston, Rachel S. Jung, Yiping Tu, Paul H. Kim, Anne P. Beigneux, Christopher M. Allan, Cuiwen He and Peter Tontonoz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Lipid Research, eLife, Biochemical and Biophysical Research Communications and JCI Insight.
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.