Per Hydbring
- Oncology top 2%
- Cancer-related Molecular Pathways 12
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways 5
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
- Cell death mechanisms and regulation 3
- Cancer Research top 2%
- MicroRNA in disease regulation 5
- Cell Biology top 2%
- Geriatrics and Gerontology top 2%
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- Lung Cancer Treatments and Mutations 9
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- Telomeres, Telomerase, and Senescence 4
Per Hydbring
38 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Oncology 1.5k
- Molecular Biology 3.6k
- Cancer Research 708
- Cell Biology 754
- Geriatrics and Gerontology 159
Countries citing papers authored by Per Hydbring
This map shows the geographic impact of Per Hydbring'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 Per Hydbring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per Hydbring more than expected).
Fields of papers citing papers by Per Hydbring
This network shows the impact of papers produced by Per Hydbring. 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 Per Hydbring. The network helps show where Per Hydbring may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Per Hydbring, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 24 | |
| 11 | 2018 | 93 | |
| 12 | 2018 | 55 | |
| 13 | 2017 | 123 | |
| 14 | Non-canonical functions of cell cycle cyclins and cyclin-dependent kinasesbreakdown → | 2016 | 378 |
| 15 | 2012 | 258 | |
| 16 | A Systematic Screen for CDK4/6 Substrates Links FOXM1 Phosphorylation to Senescence Suppression in Cancer Cellsbreakdown → | 2011 | 431 |
| 17 | 2009 | 22 | |
| 18 | 2009 | 207 | |
| 19 | Direct observation of individual endogenous protein complexes in situ by proximity ligationbreakdown → | 2006 | 1899 |
| 20 | 2003 | 399 |
About Per Hydbring
Per Hydbring is a scholar working on Cancer Research, Oncology, Applied Microbiology and Biotechnology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (12 papers), Lung Cancer Treatments and Mutations (9 papers), MicroRNA in disease regulation (5 papers), Ubiquitin and proteasome pathways (5 papers), RNA modifications and cancer (5 papers), Telomeres, Telomerase, and Senescence (4 papers), Epigenetics and DNA Methylation (4 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Oncology (1.5k citations), Molecular Biology (3.6k citations), Cancer Research (708 citations), Cell Biology (754 citations) and Geriatrics and Gerontology (159 citations). Per Hydbring has collaborated with scholars based in Sweden, United States and China. Frequent co-authors include Lars‐Gunnar Larsson, Ola Söderberg, Fuad Bahram, Karin Ridderstråle, Piotr Siciński, Karl‐Johan Leuchowius, Malin Jarvius, Mats Gullberg, Kenneth Wester and Jonas Jarvius. Their work appears in journals such as Translational Lung Cancer Research, Nature Cell Biology, Cell Cycle, Lung Cancer and Oncotarget.
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.