William E. Lowry

14.8k total citations · 5 hit papers
91 papers, 9.5k citations indexed

About

William E. Lowry is a scholar working on Molecular Biology, Cell Biology and Urology. According to data from OpenAlex, William E. Lowry has authored 91 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 14 papers in Cell Biology and 11 papers in Urology. Recurrent topics in William E. Lowry's work include Pluripotent Stem Cells Research (25 papers), CRISPR and Genetic Engineering (19 papers) and Hair Growth and Disorders (11 papers). William E. Lowry is often cited by papers focused on Pluripotent Stem Cells Research (25 papers), CRISPR and Genetic Engineering (19 papers) and Hair Growth and Disorders (11 papers). William E. Lowry collaborates with scholars based in United States, Russia and Switzerland. William E. Lowry's co-authors include Cédric Blanpain, Elaine Fuchs, Kathrin Plath, Géraldine Guasch, Amander T. Clark, Michael Rendl, Tudorita Tumbar, Valentina Greco, Lisa Polak and April D. Pyle and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

William E. Lowry

88 papers receiving 9.3k citations

Hit Papers

Defining the Epithelial Stem Cell Niche in Skin 2003 2026 2010 2018 2003 2004 2008 2010 2021 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William E. Lowry United States 38 6.4k 1.6k 1.5k 1.1k 921 91 9.5k
H. Amalia Pasolli United States 47 6.1k 0.9× 2.2k 1.4× 3.2k 2.1× 1.0k 0.9× 771 0.8× 86 10.3k
Valerie Horsley United States 40 3.6k 0.6× 1.1k 0.7× 1.8k 1.2× 1.1k 0.9× 358 0.4× 68 8.0k
Joerg Huelsken Switzerland 36 6.1k 1.0× 875 0.6× 1.3k 0.9× 2.2k 2.0× 862 0.9× 63 9.0k
Michele De Luca Italy 49 3.6k 0.6× 632 0.4× 2.4k 1.6× 837 0.7× 1.6k 1.7× 143 11.4k
Jill A. McMahon United States 38 9.6k 1.5× 875 0.6× 1.0k 0.7× 735 0.7× 2.4k 2.6× 47 11.4k
Takahiro Kunisada Japan 49 7.1k 1.1× 466 0.3× 2.1k 1.4× 2.5k 2.3× 1.2k 1.3× 209 12.6k
Brian D. Harfe United States 63 10.1k 1.6× 813 0.5× 864 0.6× 641 0.6× 1.8k 2.0× 110 14.3k
Thomas Andl United States 36 4.6k 0.7× 2.2k 1.4× 1.6k 1.1× 1.3k 1.1× 548 0.6× 83 7.5k
Maria Kasper Sweden 31 4.2k 0.7× 1.0k 0.7× 868 0.6× 1.2k 1.1× 857 0.9× 67 6.6k
Michael Rendl United States 36 4.0k 0.6× 3.2k 2.0× 2.1k 1.4× 896 0.8× 512 0.6× 46 7.4k

Countries citing papers authored by William E. Lowry

Since Specialization
Citations

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

Fields of papers citing papers by William E. Lowry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Lowry. 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 William E. Lowry. The network helps show where William E. Lowry may publish in the future.

Co-authorship network of co-authors of William E. Lowry

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Lowry. A scholar is included among the top collaborators of William E. Lowry 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 William E. Lowry. William E. Lowry 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.
Galvan, C., et al.. (2024). Inhibition of Pyruvate Oxidation Diminishes Melanoma Progression. Journal of Investigative Dermatology. 145(5). 1237–1241.e2.
2.
Galvan, C., et al.. (2024). Defining metabolic flexibility in hair follicle stem cell induced squamous cell carcinoma. Science Advances. 10(38). eadn2806–eadn2806. 1 indexed citations
3.
Mitroi, Daniel, Min Tian, Riki Kawaguchi, William E. Lowry, & S. Thomas Carmichael. (2022). Single‐nucleus transcriptome analysis reveals disease‐ and regeneration‐associated endothelial cells in white matter vascular dementia. Journal of Cellular and Molecular Medicine. 26(11). 3183–3195. 16 indexed citations
4.
Shwartz, Yulia, et al.. (2021). Defining a Role for G-Protein Coupled Receptor/cAMP/CRE-Binding Protein Signaling in Hair Follicle Stem Cell Activation. Journal of Investigative Dermatology. 142(1). 53–64.e3. 9 indexed citations
5.
Lowry, William E., et al.. (2020). Differential Gene Set Enrichment Analysis: a statistical approach to quantify the relative enrichment of two gene sets. Bioinformatics. 36(21). 5247–5254. 24 indexed citations
6.
Takahashi, Rie, Adrienne Grzenda, Thomas F. Allison, et al.. (2019). Defining Transcriptional Signatures of Human Hair Follicle Cell States. Journal of Investigative Dermatology. 140(4). 764–773.e4. 50 indexed citations
7.
Jelínek, David, Aimee Flores, Mélanie Uebelhoer, et al.. (2018). Mapping Metabolism: Monitoring Lactate Dehydrogenase Activity Directly in Tissue. Journal of Visualized Experiments. 11 indexed citations
8.
Raman, Ayush T., Ying‐Wooi Wan, Hari Krishna Yalamanchili, et al.. (2018). Apparent bias toward long gene misregulation in MeCP2 syndromes disappears after controlling for baseline variations. Nature Communications. 9(1). 3225–3225. 31 indexed citations
9.
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
10.
Karumbayaram, Saravanan, Mei Jiang, Vanda S. Lopes, et al.. (2017). Differentiation of RPE cells from integration-free iPS cells and their cell biological characterization. Stem Cell Research & Therapy. 8(1). 217–217. 50 indexed citations
11.
Germanguz, Igal & William E. Lowry. (2016). RNA editing as an activator of self-renewal in cancer. PubMed. 3. 68–68. 1 indexed citations
12.
Berent-Maoz, Beata, Encarnacion Montecino‐Rodriguez, Michael P. Fice, et al.. (2015). The Expansion of Thymopoiesis in Neonatal Mice Is Dependent on Expression of High Mobility Group A 2 Protein (Hmga2). PLoS ONE. 10(5). e0125414–e0125414. 4 indexed citations
13.
Patterson, Michaela, Xavier Gaeta, Karen M. J. van Loo, et al.. (2014). let-7 miRNAs Can Act through Notch to Regulate Human Gliogenesis. Stem Cell Reports. 3(5). 758–773. 82 indexed citations
14.
Xie, Yuan, Jin Zhang, Ying Lin, et al.. (2014). Defining the Role of Oxygen Tension in Human Neural Progenitor Fate. Stem Cell Reports. 3(5). 743–757. 53 indexed citations
15.
Patterson, Michaela, et al.. (2011). Defining the nature of human pluripotent stem cell progeny. Cell Research. 22(1). 178–193. 112 indexed citations
16.
Lowry, William E., April D. Pyle, Jason Tchieu, et al.. (2008). Generation of human induced pluripotent stem cells from dermal fibroblasts. Proceedings of the National Academy of Sciences. 105(8). 2883–2888. 789 indexed citations breakdown →
17.
Blanpain, Cédric, William E. Lowry, H. Amalia Pasolli, & Elaine Fuchs. (2006). Canonical notch signaling functions as a commitment switch in the epidermal lineage. Genes & Development. 20(21). 3022–3035. 339 indexed citations
18.
Turin, H., et al.. (2004). Collection of Unsaturated‐Zone Water Samples for Tracer Analysis: Evaluation of an Inverting Membrane Technique. Groundwater Monitoring & Remediation. 24(3). 95–101. 1 indexed citations
19.
Tumbar, Tudorita, Géraldine Guasch, Valentina Greco, et al.. (2003). Defining the Epithelial Stem Cell Niche in Skin. Science. 303(5656). 359–363. 1567 indexed citations breakdown →
20.
Lowry, William E., et al.. (1992). Development of the SEAMIST{trademark} concept for site characterization and monitoring. Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 413(1). 104–8.

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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