Rose‐Anne Romano

1.7k total citations
39 papers, 1.2k citations indexed

About

Rose‐Anne Romano is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Rose‐Anne Romano has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Oncology and 12 papers in Physiology. Recurrent topics in Rose‐Anne Romano's work include Salivary Gland Disorders and Functions (12 papers), Cancer-related Molecular Pathways (12 papers) and Genomics and Chromatin Dynamics (7 papers). Rose‐Anne Romano is often cited by papers focused on Salivary Gland Disorders and Functions (12 papers), Cancer-related Molecular Pathways (12 papers) and Genomics and Chromatin Dynamics (7 papers). Rose‐Anne Romano collaborates with scholars based in United States, China and Czechia. Rose‐Anne Romano's co-authors include Satrajit Sinha, Kirsten Smalley, Barbara Birkaya, S. Raghavan, Vanida A. Serna, Takeshi Kurita, Caitlin B.L. Magraw, Sangwon Min, Ramakumar Tummala and Christian Gluck and has published in prestigious journals such as PLoS ONE, Development and Scientific Reports.

In The Last Decade

Rose‐Anne Romano

37 papers receiving 1.2k citations

Peers

Rose‐Anne Romano
Rosalind Smith United Kingdom
Emily S. Gillett United States
Matthew LeBoeuf United States
Marcus P. Watkins United States
Rose‐Anne Romano
Citations per year, relative to Rose‐Anne Romano Rose‐Anne Romano (= 1×) peers Martti Maimets

Countries citing papers authored by Rose‐Anne Romano

Since Specialization
Citations

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

Fields of papers citing papers by Rose‐Anne Romano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rose‐Anne Romano. 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 Rose‐Anne Romano. The network helps show where Rose‐Anne Romano may publish in the future.

Co-authorship network of co-authors of Rose‐Anne Romano

This figure shows the co-authorship network connecting the top 25 collaborators of Rose‐Anne Romano. A scholar is included among the top collaborators of Rose‐Anne Romano 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 Rose‐Anne Romano. Rose‐Anne Romano 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.
Kasperek, Eileen M., Chengsong Zhu, Jeffrey C. Miecznikowski, et al.. (2025). Tlr9 expression protects against Tlr7-dependent exocrine gland and systemic disease manifestations in primary Sjögren's disease in a sex-biased manner. Journal of Autoimmunity. 156. 103467–103467.
2.
Kasperek, Eileen M., Jason M. Osinski, Chengsong Zhu, et al.. (2024). Tlr7 drives sex- and tissue-dependent effects in Sjögren’s disease. Frontiers in Cell and Developmental Biology. 12. 1434269–1434269. 2 indexed citations
3.
Min, Sangwon, et al.. (2024). ΔNp63 regulates Sfrp1 expression to direct salivary gland branching morphogenesis. PLoS ONE. 19(5). e0301082–e0301082.
4.
Gluck, Christian, Isha Sethi, Maria Tsompana, et al.. (2023). An integrated genomic approach identifies follistatin as a target of the p63-epidermal growth factor receptor oncogenic network in head and neck squamous cell carcinoma. NAR Cancer. 5(3). zcad038–zcad038. 3 indexed citations
5.
Osinski, Jason M., et al.. (2022). ΔNp63 maintains the fidelity of the myoepithelial cell lineage and directs cell differentiation programs in the murine salivary gland. Cell Death and Differentiation. 30(2). 515–526. 7 indexed citations
6.
Bard, Jonathan, et al.. (2021). Transcriptomic and Single-Cell Analysis Reveals Regulatory Networks and Cellular Heterogeneity in Mouse Primary Sjögren’s Syndrome Salivary Glands. Frontiers in Immunology. 12. 729040–729040. 20 indexed citations
7.
Min, Sangwon, Christian Gluck, Jonathan Bard, et al.. (2020). p63 and Its Target Follistatin Maintain Salivary Gland Stem/Progenitor Cell Function through TGF-β/Activin Signaling. iScience. 23(9). 101524–101524. 22 indexed citations
8.
Romano, Rose‐Anne, et al.. (2020). Activation of Myd88-Dependent TLRs Mediates Local and Systemic Inflammation in a Mouse Model of Primary Sjögren's Syndrome. Frontiers in Immunology. 10. 2963–2963. 36 indexed citations
9.
Pavlidis, Pavlos, Lubov Neznanova, Rose‐Anne Romano, et al.. (2019). Independent amylase gene copy number bursts correlate with dietary preferences in mammals. eLife. 8. 67 indexed citations
10.
Min, Sangwon, et al.. (2018). Functional characterization and genomic studies of a novel murine submandibular gland epithelial cell line. PLoS ONE. 13(2). e0192775–e0192775. 8 indexed citations
11.
Min, Sangwon, Kirsten Smalley, Jonathan Bard, et al.. (2018). Genetic and scRNA-seq Analysis Reveals Distinct Cell Populations that Contribute to Salivary Gland Development and Maintenance. Scientific Reports. 8(1). 14043–14043. 68 indexed citations
12.
Gluck, Christian, et al.. (2016). RNA-seq based transcriptomic map reveals new insights into mouse salivary gland development and maturation. BMC Genomics. 17(1). 923–923. 33 indexed citations
13.
Weiss, Robert M., Hongmei Shi, Rose‐Anne Romano, et al.. (2013). Brg1 Determines Urothelial Cell Fate during Ureter Development. Journal of the American Society of Nephrology. 24(4). 618–626. 22 indexed citations
14.
Romano, Rose‐Anne, Kirsten Smalley, Song Liu, & Satrajit Sinha. (2010). Abnormal hair follicle development and altered cell fate of follicular keratinocytes in transgenic mice expressing ΔNp63α. Development. 137(9). 1431–1439. 43 indexed citations
15.
Romano, Rose‐Anne & Satrajit Sinha. (2009). Tetracycline-Regulated Gene Expression in Transgenic Mouse Epidermis. Methods in molecular biology. 585. 287–302. 2 indexed citations
16.
Romano, Rose‐Anne, et al.. (2009). An Active Role of the ΔN Isoform of p63 in Regulating Basal Keratin Genes K5 and K14 and Directing Epidermal Cell Fate. PLoS ONE. 4(5). e5623–e5623. 136 indexed citations
17.
Romano, Rose‐Anne, Satrajit Sinha, & Priyadharsini Nagarajan. (2008). Transcriptional Control of the Differentiation Program of Interfollicular Epidermal Keratinocytes. Critical Reviews in Eukaryotic Gene Expression. 18(1). 57–79. 20 indexed citations
18.
Romano, Rose‐Anne, Barbara Birkaya, & Satrajit Sinha. (2006). A Functional Enhancer of Keratin14 Is a Direct Transcriptional Target of ΔNp63. Journal of Investigative Dermatology. 127(5). 1175–1186. 87 indexed citations
19.
Romano, Rose‐Anne, Barbara Birkaya, & Satrajit Sinha. (2006). Defining the Regulatory Elements in the Proximal Promoter of ΔNp63 in Keratinocytes: Potential Roles for Sp1/Sp3, NF-Y, and p63. Journal of Investigative Dermatology. 126(7). 1469–1479. 46 indexed citations
20.
Romano, Rose‐Anne, Hongxiu Li, Ramakumar Tummala, Robert W. Maul, & Satrajit Sinha. (2004). Identification of Basonuclin2, a DNA-binding zinc-finger protein expressed in germ tissues and skin keratinocytes. Genomics. 83(5). 821–833. 35 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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