Title |
Frontiers in pigment cell and melanoma research
|
---|---|
Published in |
Pigment Cell & Melanoma Research, October 2018
|
DOI | 10.1111/pcmr.12728 |
Pubmed ID | |
Authors |
Fabian V. Filipp, Stanca Birlea, Marcus W. Bosenberg, Douglas Brash, Pamela B. Cassidy, Suzie Chen, John A. D'Orazio, Mayumi Fujita, Boon‐Kee Goh, Meenhard Herlyn, Arup K. Indra, Lionel Larue, Sancy A. Leachman, Caroline Le Poole, Feng Liu‐Smith, Prashiela Manga, Lluis Montoliu, David A. Norris, Yiqun Shellman, Keiran S. M. Smalley, Richard A. Spritz, Richard A. Sturm, Susan M. Swetter, Tamara Terzian, Kazumasa Wakamatsu, Jeffrey S. Weber, Neil F. Box |
Abstract |
In this perspective, we identify emerging frontiers in clinical and basic research of melanocyte biology and its associated biomedical disciplines. We describe challenges and opportunities in clinical and basic research of normal and diseased melanocytes that impact current approaches to research in melanoma and the dermatological sciences. We focus on four themes: (1) clinical melanoma research, (2) basic melanoma research, (3) clinical dermatology, and (4) basic pigment cell research, with the goal of outlining current highlights, challenges, and frontiers associated with pigmentation and melanocyte biology. Significantly, this document encapsulates important advances in melanocyte and melanoma research including emerging frontiers in melanoma immunotherapy, medical and surgical oncology, dermatology, vitiligo, albinism, genomics and systems biology, epidemiology, pigment biophysics and chemistry, and evolution. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 18% |
United Kingdom | 3 | 18% |
Spain | 2 | 12% |
Belgium | 1 | 6% |
Unknown | 8 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 71% |
Science communicators (journalists, bloggers, editors) | 3 | 18% |
Scientists | 2 | 12% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 16% |
Student > Bachelor | 6 | 13% |
Student > Master | 4 | 9% |
Student > Doctoral Student | 3 | 7% |
Student > Postgraduate | 3 | 7% |
Other | 6 | 13% |
Unknown | 16 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 24% |
Biochemistry, Genetics and Molecular Biology | 6 | 13% |
Agricultural and Biological Sciences | 5 | 11% |
Business, Management and Accounting | 1 | 2% |
Computer Science | 1 | 2% |
Other | 4 | 9% |
Unknown | 17 | 38% |