Jan Patrick Pett
Impact in
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- Circadian rhythm and melatonin
- Aging top 10%
Papers in
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- Circadian rhythm and melatonin 5
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- Single-cell and spatial transcriptomics 8
- Co-authors
- Hanspeter Herzel (5 shared papers)Achim Kramer (2 shared papers)Angela Relógio (1 shared paper)Mónica Abreu (1 shared paper)Luise Fuhr (1 shared paper)Dieter Beule (4 shared papers)Grigory Bordyugov (1 shared paper)Frederick Klauschen (2 shared papers)
- Journals
- Nature (5 papers)PLoS Computational Biology (2 papers)Nature Genetics (1 paper)Cell stem cell (1 paper)European Heart Journal (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Jan Patrick Pett
21 papers receiving 1.5k citations
Jan Patrick Pett's Hit Papers
Peers
Comparison fields: 5 of 117
- Endocrine and Autonomic Systems 164
- Aging 39
- Biophysics 55
- Molecular Biology 614
- Immunology 182
Countries citing papers authored by Jan Patrick Pett
This map shows the geographic impact of Jan Patrick Pett'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 Jan Patrick Pett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Patrick Pett more than expected).
Fields of papers citing papers by Jan Patrick Pett
This network shows the impact of papers produced by Jan Patrick Pett. 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 Jan Patrick Pett. The network helps show where Jan Patrick Pett may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Patrick Pett, 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 | Spatially resolved multiomics of human cardiac niches Hit paper breakdown → | 2023 | 231 |
| 2 | 2021 | 227 | |
| 3 | 2021 | 162 | |
| 4 | 2022 | 145 | |
| 5 | 2022 | 131 | |
| 6 | Human skeletal muscle aging atlas Hit paper breakdown → | 2024 | 110 |
| 7 | 2016 | 72 | |
| 8 | 2015 | 69 | |
| 9 | 2022 | 67 | |
| 10 | 2018 | 50 | |
| 11 | 2024 | 49 | |
| 12 | 2024 | 43 | |
| 13 | 2023 | 36 | |
| 14 | 2025 | 29 | |
| 15 | 2022 | 21 | |
| 16 | 2025 | 20 | |
| 17 | 2019 | 18 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 1 |
About Jan Patrick Pett
Jan Patrick Pett is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Cancer Research, Plant Science and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Light effects on plants (5 papers), Circadian rhythm and melatonin (5 papers), Neonatal Respiratory Health Research (4 papers), Plant Molecular Biology Research (3 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Cancer Genomics and Diagnostics (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (164 citations), Aging (39 citations), Biophysics (55 citations), Molecular Biology (614 citations) and Immunology (182 citations). Jan Patrick Pett has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Hanspeter Herzel, Achim Kramer, Angela Relógio, Mónica Abreu, Luise Fuhr, Dieter Beule, Grigory Bordyugov, Frederick Klauschen, Jens‐Carsten Rückert and Christine Sers. Their work appears in journals such as Nature, PLoS Computational Biology, Nature Genetics, Cell stem cell 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.