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npj Precision Oncology is a peer-reviewed journal published by Springer Nature, covering Cancer Genomics and Diagnostics, Cancer Immunotherapy and Biomarkers, Radiomics and Machine Learning in Medical Imaging. Over its lifetime it has published 1,537 papers, which have received 30,578 citations.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. npj Precision Oncology 12, 45–58 (2023).
Formats any DOI in npj Precision Oncology style. No sign-up. |
| Publishes research in | Cancer Genomics and Diagnostics Cancer Immunotherapy and Biomarkers Radiomics and Machine Learning in Medical Imaging Ferroptosis and cancer prognosis Lung Cancer Treatments and Mutations |
| ISSN | 2397-768X |
| Citation impact (2-yr) | 7.72 |
| h-index | 78 |
| i10-index | 656 |
| Article processing charge | $3,170 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | The University of Texas MD Anderson Cancer Center |
| Journal website | www.nature.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Resveratrol is a nutraceutical with several therapeutic effects. It has been shown to mimic effects of caloric restriction, exert anti-inflammatory and anti-oxidative effects, and affect the initiation and progression of many diseases through several mechanisms. While there is a wealth of in vitro and in vivo evidence that resveratrol could be a promising therapeutic agent,…
Tumor drug resistance emerges from the interaction of two critical factors: tumor cellular heterogeneity and the immunosuppressive nature of the tumor microenvironment (TME). Tumor-associated macrophages (TAMs) constitute essential components of the TME. M2-like TAMs are essential in facilitating tumor metastasis as well as augmenting the drug resistance of tumors. This review encapsulates the mechanisms that…
Cancer is a leading cause of death worldwide. Identifying the best treatment using computational models to personalize drug response prediction holds great promise to improve patient's chances of successful recovery. Unfortunately, the computational task of predicting drug response is very challenging, partially due to the limitations of the available data and partially due to algorithmic…
Metastasis accounts for 90% of breast cancer mortality. Despite the significant progress made over the past decade in cancer medicine our understanding of metastasis remains limited, therefore preventing and targeting metastasis is not yet possible. Breast cancer cells preferentially metastasize to specific organs, known as "organotropic metastasis", which is regulated by subtypes of breast cancer,…
The cancer microenvironment is known for its complexity, both in its content as well as its dynamic nature, which is difficult to study using two-dimensional (2D) cell culture models. Several advances in tissue engineering have allowed more physiologically relevant three-dimensional (3D) in vitro cancer models, such as spheroid cultures, biopolymer scaffolds, and cancer-on-a-chip devices. Although…
