Sara Antonia Li

1.5k total citations
38 papers, 1.2k citations indexed

About

Sara Antonia Li is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Sara Antonia Li has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 16 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Sara Antonia Li's work include Estrogen and related hormone effects (20 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Microtubule and mitosis dynamics (5 papers). Sara Antonia Li is often cited by papers focused on Estrogen and related hormone effects (20 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Microtubule and mitosis dynamics (5 papers). Sara Antonia Li collaborates with scholars based in United States. Sara Antonia Li's co-authors include Jonathan J. Li, John Klicka, S. John Weroha, Luke K. T. Lam, Wilma L. Lingle, Jeffrey L. Salisbury, Jonathan A. Parsons, Claude A. Villee, Ossama Tawfik and Snigdha Banerjee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrine Reviews and JNCI Journal of the National Cancer Institute.

In The Last Decade

Sara Antonia Li

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Antonia Li United States 21 680 590 262 213 207 38 1.2k
Jonathan J. Li United States 24 807 1.2× 654 1.1× 291 1.1× 240 1.1× 219 1.1× 56 1.5k
R C Moon United States 22 875 1.3× 487 0.8× 283 1.1× 223 1.0× 36 0.2× 61 1.5k
Wayne P. Bocchinfuso United States 21 783 1.2× 817 1.4× 556 2.1× 189 0.9× 51 0.2× 32 1.8k
Kerrie B. Bouker United States 17 742 1.1× 455 0.8× 481 1.8× 281 1.3× 105 0.5× 27 1.4k
W J Checovich United States 11 378 0.6× 213 0.4× 85 0.3× 122 0.6× 112 0.5× 12 961
Surojeet Sengupta United States 18 437 0.6× 289 0.5× 283 1.1× 142 0.7× 68 0.3× 33 864
Kelli Bramlett United States 22 903 1.3× 452 0.8× 561 2.1× 173 0.8× 45 0.2× 36 1.6k
Sam Sorof United States 20 639 0.9× 175 0.3× 321 1.2× 250 1.2× 84 0.4× 54 1.2k
S. D. Vesselinovitch United States 21 553 0.8× 132 0.2× 297 1.1× 460 2.2× 50 0.2× 60 1.4k
Lucia Daino Italy 25 919 1.4× 127 0.2× 246 0.9× 272 1.3× 113 0.5× 42 1.4k

Countries citing papers authored by Sara Antonia Li

Since Specialization
Citations

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

Fields of papers citing papers by Sara Antonia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Antonia Li. 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 Sara Antonia Li. The network helps show where Sara Antonia Li may publish in the future.

Co-authorship network of co-authors of Sara Antonia Li

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Antonia Li. A scholar is included among the top collaborators of Sara Antonia Li 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 Sara Antonia Li. Sara Antonia Li 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.
Weroha, S. John, et al.. (2010). Specific Overexpression of Cyclin E·CDK2 in Early Preinvasive and Primary Breast Tumors in Female ACI Rats Induced by Estrogen. Hormones and Cancer. 1(1). 34–43. 13 indexed citations
2.
Jiang, Shoulei, Hiroshi Katayama, Jin Wang, et al.. (2010). Estrogen-Induced Aurora Kinase-A (AURKA) Gene Expression is Activated by GATA-3 in Estrogen Receptor-Positive Breast Cancer Cells. Hormones and Cancer. 1(1). 11–20. 23 indexed citations
3.
Li, Jonathan J. & Sara Antonia Li. (2006). Mitotic kinases: The key to duplication, segregation, and cytokinesis errors, chromosomal instability, and oncogenesis. Pharmacology & Therapeutics. 111(3). 974–984. 105 indexed citations
4.
Weroha, S. John, Sara Antonia Li, Ossama Tawfik, & Jonathan J. Li. (2005). Overexpression of cyclins D1 and D3 during estrogen-induced breast oncogenesis in female ACI rats. Carcinogenesis. 27(3). 491–498. 31 indexed citations
5.
Li, Jonathan J., et al.. (2004). Estrogen mediates Aurora-A overexpression, centrosome amplification, chromosomal instability, and breast cancer in female ACI rats. Proceedings of the National Academy of Sciences. 101(52). 18123–18128. 117 indexed citations
6.
Li, Jonathan J. & Sara Antonia Li. (2003). Causation and Prevention of Solely Estrogen- Induced Oncogenesis: Similarities to Human Ductal Breast Cancer. Advances in experimental medicine and biology. 532. 195–207. 11 indexed citations
8.
Li, Jonathan J., S. John Weroha, C. Marcelo Aldaz, et al.. (2002). Ploidy differences between hormone‐ and chemical carcinogen–induced rat mammary neoplasms: Comparison to invasive human ductal breast cancer*. Molecular Carcinogenesis. 33(1). 56–65. 57 indexed citations
9.
10.
Banerjee, Snigdha, et al.. (1994). Induction of chromosone aberrations in Syrian hamster renal cortical cells by various estrogens. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 311(2). 191–197. 47 indexed citations
11.
Li, Jonathan J., Satyabrata Nandi, & Sara Antonia Li. (1992). Hormonal carcinogenesis : proceedings of the First International Symposium. Springer eBooks. 2 indexed citations
12.
Li, Jonathan J. & Sara Antonia Li. (1990). Estrogen Carcinogenesis in Hamster Tissues: A Critical Review*. Endocrine Reviews. 11(4). 524–531. 100 indexed citations
13.
Li, Sara Antonia, Robert H. Purdy, & Jonathan J. Li. (1989). Variations in catechol O-methyltransferase activity in rodent tissues: possible role in estrogen carcinogenicity. Carcinogenesis. 10(1). 63–67. 30 indexed citations
14.
Li, Sara Antonia, Luke K. T. Lam, & Jonathan J. Li. (1983). Effect of steroid hormone treatment on aryl hydrocarbon hydroxylase activity in the Syrian hamster kidney. Biochemical Pharmacology. 32(19). 2847–2850. 11 indexed citations
15.
Li, Sara Antonia, et al.. (1981). Characterization of Specific Glucocorticoid Receptor in the Syrian Hamster Testis*. Endocrinology. 109(5). 1331–1338. 26 indexed citations
16.
DOE, RICHARD P., et al.. (1980). Characterization of cytoplasmic glucocorticoid receptor in circulating human mononuclear cells. Life Sciences. 27(8). 687–693. 2 indexed citations
17.
Li, Jonathan J. & Sara Antonia Li. (1980). High yield of primary serially transplanted hamster renal carcinoma: Steroid receptor and morphologic characteristics. European Journal of Cancer (1965). 16(9). 1119–1125. 10 indexed citations
18.
Li, Jonathan J., et al.. (1979). Nuclear retention of all steroid hormone receptor classes in the hamster renal carcinoma.. PubMed. 39(7 Pt 1). 2647–51. 16 indexed citations
19.
Li, Jonathan J., et al.. (1976). Receptor characteristics of specific estrogen binding in the renal adenocarcinoma of the golden hamster.. PubMed. 36(3). 1127–32. 25 indexed citations
20.
Li, Jonathan J., et al.. (1974). An Estrogen Binding Protein in the Renal Cytosol of Intact, Castrated and Estrogenized Golden Hamsters1. Endocrinology. 95(4). 1134–1141. 30 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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