Andrew C. White

2.9k total citations
36 papers, 2.1k citations indexed

About

Andrew C. White is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Andrew C. White has authored 36 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Surgery and 10 papers in Oncology. Recurrent topics in Andrew C. White's work include Fibroblast Growth Factor Research (6 papers), Cancer Cells and Metastasis (6 papers) and Hair Growth and Disorders (5 papers). Andrew C. White is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), Cancer Cells and Metastasis (6 papers) and Hair Growth and Disorders (5 papers). Andrew C. White collaborates with scholars based in United States, Russia and Australia. Andrew C. White's co-authors include David M. Ornitz, Kory J. Lavine, William E. Lowry, Jennifer S. Colvin, Craig R. Smith, Stephen J. P. Pratt, Xiuqin Zhang, Yongjun Yin, Juha Partanen and Kai Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

Andrew C. White

34 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew C. White United States 17 1.4k 561 477 307 266 36 2.1k
David M. Prowse United Kingdom 19 950 0.7× 246 0.4× 273 0.6× 345 1.1× 390 1.5× 24 1.7k
Kerryn L. Garrett Australia 18 1.4k 1.0× 366 0.7× 169 0.4× 151 0.5× 126 0.5× 33 2.1k
William G. Taylor United States 21 1.5k 1.0× 343 0.6× 177 0.4× 315 1.0× 345 1.3× 39 2.3k
Jiaxi Zhou China 28 1.2k 0.8× 229 0.4× 93 0.2× 404 1.3× 233 0.9× 64 2.2k
Marion C. Dickson United Kingdom 24 1.2k 0.8× 205 0.4× 174 0.4× 181 0.6× 275 1.0× 34 2.4k
Alexander G. Marneros United States 22 980 0.7× 194 0.3× 80 0.2× 255 0.8× 153 0.6× 45 2.3k
Nancy C. Joyce United States 37 1.3k 0.9× 242 0.4× 94 0.2× 278 0.9× 288 1.1× 64 4.5k
Charbel Darido Australia 21 1.1k 0.8× 156 0.3× 113 0.2× 229 0.7× 409 1.5× 47 1.7k
Monika Dohse United States 7 1.3k 0.9× 910 1.6× 109 0.2× 144 0.5× 226 0.8× 8 2.6k
W Taylor United States 10 843 0.6× 321 0.6× 194 0.4× 248 0.8× 185 0.7× 16 1.6k

Countries citing papers authored by Andrew C. White

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew C. White. 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 Andrew C. White. The network helps show where Andrew C. White may publish in the future.

Co-authorship network of co-authors of Andrew C. White

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew C. White. A scholar is included among the top collaborators of Andrew C. White 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 Andrew C. White. Andrew C. White 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.
Kumar, Nilesh, et al.. (2024). Molecular heterogeneity of quiescent melanocyte stem cells revealed by single‐cell RNA ‐sequencing. Pigment Cell & Melanoma Research. 37(4). 480–495. 2 indexed citations
2.
White, Andrew C., et al.. (2024). Genotype–phenotype correlations in 294 pediatric patients with osteogenesis imperfecta. JBMR Plus. 8(11). ziae125–ziae125. 2 indexed citations
3.
White, Andrew C., et al.. (2024). Examination of accessory extensor carpi radialis longus and brevis musculotendinous units for functional impact and tendon transfer suitability. Translational Research in Anatomy. 35. 100287–100287. 1 indexed citations
4.
An, Luye, et al.. (2024). Sexual dimorphism in melanocyte stem cell behavior reveals combinational therapeutic strategies for cutaneous repigmentation. Nature Communications. 15(1). 796–796. 7 indexed citations
5.
An, Luye, et al.. (2023). Ccr2+ Monocyte-Derived Macrophages Influence Trajectories of Acquired Therapy Resistance in Braf -Mutant Melanoma. Cancer Research. 83(14). 2328–2344. 12 indexed citations
6.
Lee, Seoyeon, Luye An, Paul D. Soloway, & Andrew C. White. (2023). Dynamic regulation of chromatin accessibility during melanocyte stem cell activation. Pigment Cell & Melanoma Research. 36(6). 531–541. 3 indexed citations
7.
8.
Sandgren, Kerrie J., et al.. (2022). Tissue resident memory T cells inhabit the deep human conjunctiva. Scientific Reports. 12(1). 6077–6077. 11 indexed citations
9.
White, Andrew C., et al.. (2021). PLEKHA4 Promotes Wnt/β-Catenin Signaling–Mediated G1–S Transition and Proliferation in Melanoma. Cancer Research. 81(8). 2029–2043. 16 indexed citations
10.
Moon, Hyeongsun, Andrew C. White, & Alexander D. Borowsky. (2020). New insights into the functions of Cox-2 in skin and esophageal malignancies. Experimental & Molecular Medicine. 52(4). 538–547. 44 indexed citations
11.
Adya, Raghu, Kishore Gopalakrishnan, Sean James, et al.. (2019). OWE-23 Versatile role of secreted frizzled related protein 2 (SFRP2) in colon cancer: Potential stromal target. A186.2–A187.
12.
Garibay, Darline, Seon A Lee, Leanne R. Donahue, et al.. (2018). β Cell GLP-1R Signaling Alters α Cell Proglucagon Processing after Vertical Sleeve Gastrectomy in Mice. Cell Reports. 23(4). 967–973. 23 indexed citations
13.
Moon, Hyeongsun, Leanne R. Donahue, Eun-Ju Choi, et al.. (2017). Melanocyte Stem Cell Activation and Translocation Initiate Cutaneous Melanoma in Response to UV Exposure. Cell stem cell. 21(5). 665–678.e6. 84 indexed citations
14.
Flores, Aimee, John C. Schell, Abigail S. Krall, et al.. (2017). Lactate dehydrogenase activity drives hair follicle stem cell activation. Nature Cell Biology. 19(9). 1017–1026. 209 indexed citations
15.
Lowry, William E., Aimee Flores, & Andrew C. White. (2016). Exploiting Mouse Models to Study Ras-Induced Cutaneous Squamous Cell Carcinoma. Journal of Investigative Dermatology. 136(8). 1543–1548. 9 indexed citations
16.
White, Andrew C. & William E. Lowry. (2014). Refining the role for adult stem cells as cancer cells of origin. Trends in Cell Biology. 25(1). 11–20. 101 indexed citations
17.
White, Andrew C. & William E. Lowry. (2011). Exploiting the origins of Ras mediated squamous cell carcinoma to develop novel therapeutic interventions. Small GTPases. 2(6). 318–321. 3 indexed citations
18.
White, Andrew C., Jian Xu, Yongjun Yin, et al.. (2006). FGF9 and SHH signaling coordinate lung growth and development through regulation of distinct mesenchymal domains. Development. 133(8). 1507–1517. 176 indexed citations
19.
Lavine, Kory J., Andrew C. White, Changwon Park, et al.. (2006). Fibroblast growth factor signals regulate a wave of Hedgehog activation that is essential for coronary vascular development. Genes & Development. 20(12). 1651–1666. 184 indexed citations
20.
Lavine, Kory J., Kai Yu, Andrew C. White, et al.. (2005). Endocardial and Epicardial Derived FGF Signals Regulate Myocardial Proliferation and Differentiation In Vivo. Developmental Cell. 8(1). 85–95. 302 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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