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Cited by 461

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Malignant melanoma: prevention, early detection, and treatment in the 21st century

Open access
Rigel, D. S., Carucci, J. A.·2000·CA: A Cancer Journal for Clinicians

Abstract

Malignant melanoma continues to present a significant public health problem as its incidence is rising faster than that of any other cancer in the US. At current rates, 1 in 74 Americans will develop melanoma during his or her lifetime. Management of melanoma is a complex issue requiring a multidisciplinary approach. The most effective method of protection against the development of melanoma is minimization of ultraviolet exposure from sunlight. Early detection and treatment are critical and result in improved patient survival rates. Surgical excision remains the mainstay of treatment but many new promising therapies are being investigated. It is hoped that increased public and professional awareness and education in all areas relating to the prevention, detection, and treatment of malignant melanoma will contribute to decreasing trends in the incidence and mortality from this cancer in the future.

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Crossref · 10.3322/canjclin.50.4.215

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Metadata

Authors
Rigel, D. S., & Carucci, J. A.
Venue
CA: A Cancer Journal for Clinicians
Publisher
Wiley
Published
2000-07-01
Volume
50
Issue
4
Pages
215-236
ISSN
0007-9235 (ISSN-L)
OpenAlex
W2055656744
Cited by
461
References
2
FWCI
7.83
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Malignant melanoma: prevention, early detection, and treatment in the 21st century. https://app.cochat.ai/papers/10.3322/canjclin.50.4.215
The paper
Rigel, D. S., & Carucci, J. A. (2000). Malignant melanoma: prevention, early detection, and treatment in the 21st century. CA: A Cancer Journal for Clinicians. https://doi.org/10.3322/canjclin.50.4.215

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.