Edward C. De Fabo

2.9k total citations
31 papers, 2.1k citations indexed

About

Edward C. De Fabo is a scholar working on Dermatology, Molecular Biology and Cell Biology. According to data from OpenAlex, Edward C. De Fabo has authored 31 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Dermatology, 8 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Edward C. De Fabo's work include Skin Protection and Aging (17 papers), melanin and skin pigmentation (8 papers) and Circadian rhythm and melatonin (6 papers). Edward C. De Fabo is often cited by papers focused on Skin Protection and Aging (17 papers), melanin and skin pigmentation (8 papers) and Circadian rhythm and melatonin (6 papers). Edward C. De Fabo collaborates with scholars based in United States, Australia and France. Edward C. De Fabo's co-authors include Frances P. Noonan, Glenn Merlino, Miriam R. Anver, Thomas R. Fears, Harry Morrison, Juan A. Recio, Walter L. Rush, Hisashi Takayama, Paul H. Duray and William W. Bachovchin and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Edward C. De Fabo

31 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edward C. De Fabo United States 19 1.0k 670 495 487 439 31 2.1k
Stéphane Mouret France 19 719 0.7× 813 1.2× 251 0.5× 225 0.5× 250 0.6× 38 1.8k
P. Donald Forbes United States 23 1.3k 1.3× 703 1.0× 310 0.6× 188 0.4× 251 0.6× 75 2.2k
Ghanem Ghanem Belgium 28 567 0.6× 935 1.4× 1.3k 2.7× 359 0.7× 549 1.3× 54 2.9k
Helene Z. Hill United States 23 350 0.3× 588 0.9× 559 1.1× 119 0.2× 217 0.5× 106 1.7k
I.A. Magnus Thailand 30 994 1.0× 1.4k 2.0× 254 0.5× 251 0.5× 114 0.3× 86 2.8k
Madhukar A. Pathak United States 8 754 0.7× 498 0.7× 400 0.8× 339 0.7× 130 0.3× 12 1.8k
Yutaka Mishima Japan 33 774 0.8× 912 1.4× 1.7k 3.4× 268 0.6× 515 1.2× 133 3.2k
Trevor J. McMillan United Kingdom 34 257 0.3× 1.5k 2.2× 118 0.2× 111 0.2× 471 1.1× 85 2.8k
Yoshisada Fujiwara Japan 30 114 0.1× 2.3k 3.4× 186 0.4× 91 0.2× 430 1.0× 101 3.0k
Satoshi Yoshida Japan 26 145 0.1× 972 1.5× 396 0.8× 207 0.4× 153 0.3× 116 2.3k

Countries citing papers authored by Edward C. De Fabo

Since Specialization
Citations

This map shows the geographic impact of Edward C. De Fabo'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 Edward C. De Fabo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward C. De Fabo more than expected).

Fields of papers citing papers by Edward C. De Fabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward C. De Fabo. 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 Edward C. De Fabo. The network helps show where Edward C. De Fabo may publish in the future.

Co-authorship network of co-authors of Edward C. De Fabo

This figure shows the co-authorship network connecting the top 25 collaborators of Edward C. De Fabo. A scholar is included among the top collaborators of Edward C. De Fabo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward C. De Fabo. Edward C. De Fabo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Leonard, M. Kathryn, Sandrine Dabernat, Edward C. De Fabo, et al.. (2020). Nme1 and Nme2 genes exert metastasis-suppressor activities in a genetically engineered mouse model of UV-induced melanoma. British Journal of Cancer. 124(1). 161–165. 7 indexed citations
2.
Nuccitelli, Richard, Kevin Tran, Kaying Lui, et al.. (2012). Non‐thermal Nanoelectroablation of UV‐induced Murine Melanomas Stimulates an Immune Response. Pigment Cell & Melanoma Research. 25(5). 618–629. 56 indexed citations
3.
Zaidi, M. Raza, Sean Davis, Frances P. Noonan, et al.. (2011). Interferon-γ links ultraviolet radiation to melanomagenesis in mice. Nature. 469(7331). 548–553. 225 indexed citations
4.
Noonan, Frances P. & Edward C. De Fabo. (2009). UVB and UVA Initiate Different Pathways to p53-Dependent Apoptosis in Melanocytes. Journal of Investigative Dermatology. 129(7). 1608–1610. 6 indexed citations
5.
Hammitt, James K., et al.. (2008). Economic Evaluation of the US Environmental Protection Agency's SunWise Program: Sun Protection Education for Young Children. PEDIATRICS. 121(5). e1074–e1084. 63 indexed citations
6.
Ha, Linan, Frances P. Noonan, Edward C. De Fabo, & Glenn Merlino. (2005). Animal Models of Melanoma. Journal of Investigative Dermatology Symposium Proceedings. 10(2). 86–88. 21 indexed citations
7.
Fabo, Edward C. De. (2005). Arctic stratospheric ozone depletion and increased UVB radiation: potential impacts to human health. International Journal of Circumpolar Health. 64(5). 509–522. 29 indexed citations
8.
Fabo, Edward C. De, Frances P. Noonan, Thomas R. Fears, & Glenn Merlino. (2004). Ultraviolet B but not Ultraviolet A Radiation Initiates Melanoma. Cancer Research. 64(18). 6372–6376. 207 indexed citations
9.
Noonan, Frances P., et al.. (2003). Mice With Genetically Determined High Susceptibility to Ultraviolet (UV)-Induced Immunosuppression Show Enhanced UV Carcinogenesis. Journal of Investigative Dermatology. 121(5). 1175–1181. 16 indexed citations
10.
Noonan, Frances P., et al.. (2003). Animal Models of Melanoma: An HGF/SF Transgenic Mouse Model May Facilitate Experimental Access to UV Initiating Events. Pigment Cell Research. 16(1). 16–25. 69 indexed citations
11.
Noonan, Frances P., Juan A. Recio, Hisashi Takayama, et al.. (2001). Neonatal sunburn and melanoma in mice. Nature. 413(6853). 271–272. 294 indexed citations
12.
Noonan, Frances P. & Edward C. De Fabo. (1999). UV-B radiation: a health risk in the Arctic?. Polar Research. 18(2). 361–365. 1 indexed citations
13.
Noonan, Frances P. & Edward C. De Fabo. (1999). UV-B radiation: a health risk in the Arctic?. Polar Research. 18(2). 361–365. 3 indexed citations
14.
Fabo, Edward C. De, et al.. (1997). The Effects of UVA‐I (340‐400 nm), UVA‐II (320‐340 nm) and UVA‐I+II on the Photoisomerization of Urocanic Acid in vivo. Photochemistry and Photobiology. 66(4). 484–492. 27 indexed citations
15.
Phillips, Terry M., et al.. (1997). Microdialysis-immunoaffinity capillary electrophoresis studies on neuropeptide-induced lymphocyte secretion. Journal of Chromatography B Biomedical Sciences and Applications. 697(1-2). 101–109. 31 indexed citations
16.
17.
Sudmeier, James L., et al.. (1997). A Low-Barrier Hydrogen Bond in the Catalytic Triad of Serine Proteases? Theory Versus Experiment. Science. 278(5340). 1128–1132. 147 indexed citations
18.
Noonan, Frances P. & Edward C. De Fabo. (1992). Immunosuppression by ultraviolet B radiation: initiation by urocanic acid. Immunology Today. 13(7). 250–254. 229 indexed citations
19.
Palaszynski, E W, Frances P. Noonan, & Edward C. De Fabo. (1992). Cis‐UROCANIC ACID DOWN‐REGULATES THE INDUCTION OF ADENOSINE 3', 5'‐CYCLIC MONOPHOSPHATE BY EITHER trans‐UROCANIC ACID OR HISTAMINE IN HUMAN DERMAL FIBROBLASTS in vitro. Photochemistry and Photobiology. 55(2). 165–171. 27 indexed citations
20.
Noonan, Frances P., Edward C. De Fabo, & Harry Morrison. (1988). Cis-Urocanic Acid, a Product formed by Ultraviolet B Irradiation of the Skin, Initiates and Antigen Presentation Defect in Splenic Dendritic Cells In Vivo. Journal of Investigative Dermatology. 90(2). 92–99. 134 indexed citations

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.

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