Philip Jonsson
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Genetics top 2%
- Estrogen and related hormone effects
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Cancer Genomics and Diagnostics 9
- MicroRNA in disease regulation 4
- Oncology 18
- HER2/EGFR in Cancer Research 3
- Cancer-related Molecular Pathways 3
- Co-authors
- Cecilia WilliamsAlison M. SchramMatthew T. ChangAlexander DrilonMichael F. BergerAhmet ZehirDavid M. HymanDavid B. Solit
- Journals
- Molecular Endocrinology (4 papers)Cancer Research (4 papers)JCO Precision Oncology (2 papers)Journal of Clinical Oncology (2 papers)Oncogene (2 papers)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Philip Jonsson
41 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 902
- Genetics 407
- Hematology 377
- Oncology 773
- Molecular Biology 1.4k
Countries citing papers authored by Philip Jonsson
This map shows the geographic impact of Philip Jonsson'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 Philip Jonsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Jonsson more than expected).
Fields of papers citing papers by Philip Jonsson
This network shows the impact of papers produced by Philip Jonsson. 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 Philip Jonsson. The network helps show where Philip Jonsson may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Jonsson, 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 | 2024 | 7 | |
| 2 | 2023 | 41 | |
| 3 | 2020 | 26 | |
| 4 | 2020 | 10 | |
| 5 | 2018 | 49 | |
| 6 | Genome doubling shapes the evolution and prognosis of advanced cancers Hit paper breakdown → | 2018 | 343 |
| 7 | 2018 | 59 | |
| 8 | 2017 | 184 | |
| 9 | Therapy-Related Clonal Hematopoiesis in Patients with Non-hematologic Cancers Is Common and Associated with Adverse Clinical Outcomes Hit paper breakdown → | 2017 | 521 |
| 10 | 2017 | 226 | |
| 11 | 2017 | 3 | |
| 12 | 2016 | 96 | |
| 13 | 2016 | 3 | |
| 14 | 2015 | 33 | |
| 15 | 2015 | 52 | |
| 16 | 2014 | 104 | |
| 17 | 2014 | 76 | |
| 18 | 2014 | 80 | |
| 19 | 2013 | 48 | |
| 20 | 2013 | 35 |
About Philip Jonsson
Philip Jonsson is a scholar working on Cancer Research, Oncology, Genetics, Genetics and Behavioral Neuroscience, having authored 41 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Estrogen and related hormone effects (8 papers), Glioma Diagnosis and Treatment (4 papers), MicroRNA in disease regulation (4 papers), Cholesterol and Lipid Metabolism (3 papers), Ubiquitin and proteasome pathways (3 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (902 citations), Genetics (407 citations), Hematology (377 citations), Oncology (773 citations) and Molecular Biology (1.4k citations). Philip Jonsson has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Cecilia Williams, Alison M. Schram, Matthew T. Chang, Alexander Drilon, Michael F. Berger, Ahmet Zehir, David M. Hyman, David B. Solit, Jan-Ακε Gustafsson and Karin Dahlman‐Wright. Their work appears in journals such as Molecular Endocrinology, Cancer Research, JCO Precision Oncology, Journal of Clinical Oncology and Oncogene.
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.