Carolyn Slater

528 total citations
19 papers, 403 citations indexed

About

Carolyn Slater is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Carolyn Slater has authored 19 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Carolyn Slater's work include Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (4 papers) and Breast Cancer Treatment Studies (4 papers). Carolyn Slater is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (4 papers) and Breast Cancer Treatment Studies (4 papers). Carolyn Slater collaborates with scholars based in United States, Austria and United Kingdom. Carolyn Slater's co-authors include Quivo Tahin, Kathy Q. Cai, Irma H. Russo, José Russo, Mohamed H. Lareef, Andrew K. Godwin, Xiaowei Chen, Karthik Devarajan, Xiang Ao and Elizabeth R. Smith and has published in prestigious journals such as PLoS ONE, Cancer Research and Cancer Letters.

In The Last Decade

Carolyn Slater

18 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolyn Slater United States 13 274 122 120 100 28 19 403
Didier Marot France 8 359 1.3× 106 0.9× 155 1.3× 98 1.0× 30 1.1× 14 505
Shian-ling Ding Taiwan 12 252 0.9× 81 0.7× 102 0.8× 79 0.8× 14 0.5× 13 364
Huchun Li United States 9 422 1.5× 74 0.6× 142 1.2× 121 1.2× 38 1.4× 9 553
Arindam Paul United States 8 300 1.1× 75 0.6× 88 0.7× 66 0.7× 40 1.4× 8 398
Joon T. Park United States 6 332 1.2× 87 0.7× 55 0.5× 103 1.0× 22 0.8× 7 427
Nuša Pristovšek Denmark 8 300 1.1× 95 0.8× 137 1.1× 80 0.8× 17 0.6× 9 451
P A O'Neill United Kingdom 7 227 0.8× 98 0.8× 197 1.6× 203 2.0× 48 1.7× 7 425
Massimo Cancemi Italy 8 240 0.9× 81 0.7× 189 1.6× 165 1.6× 18 0.6× 9 411
Guiqiang Du China 8 217 0.8× 141 1.2× 98 0.8× 55 0.6× 26 0.9× 12 340
Penelope Miron United States 9 238 0.9× 113 0.9× 136 1.1× 180 1.8× 14 0.5× 16 411

Countries citing papers authored by Carolyn Slater

Since Specialization
Citations

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

Fields of papers citing papers by Carolyn Slater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carolyn Slater. 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 Carolyn Slater. The network helps show where Carolyn Slater may publish in the future.

Co-authorship network of co-authors of Carolyn Slater

This figure shows the co-authorship network connecting the top 25 collaborators of Carolyn Slater. A scholar is included among the top collaborators of Carolyn Slater 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 Carolyn Slater. Carolyn Slater is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Panjarian, Shoghag, Jozef Madžo, Carolyn Slater, et al.. (2021). Accelerated aging in normal breast tissue of women with breast cancer. Breast Cancer Research. 23(1). 58–58. 12 indexed citations
2.
Panjarian, Shoghag, et al.. (2019). Abstract P3-05-03: Identification of epigenetically silenced breast cancer driver genes. Cancer Research. 79(4_Supplement). P3–5.
3.
Jiang, Zhengyu, Carolyn Slater, Yan Zhou, et al.. (2017). LincIN, a novel NF90-binding long non-coding RNA, is overexpressed in advanced breast tumors and involved in metastasis. Breast Cancer Research. 19(1). 62–62. 33 indexed citations
4.
Li, Yueran, Andrey Poleshko, Natalia Baulina, et al.. (2017). The Protein Encoded by the CCDC170 Breast Cancer Gene Functions to Organize the Golgi-Microtubule Network. EBioMedicine. 22. 28–43. 26 indexed citations
5.
Jiang, Zhengyu, Hong Wu, Karthik Devarajan, et al.. (2014). Identifying a Highly-Aggressive DCIS Subgroup by Studying Intra-Individual DCIS Heterogeneity among Invasive Breast Cancer Patients. PLoS ONE. 9(6). e100488–e100488. 19 indexed citations
6.
Slater, Carolyn, et al.. (2014). Investigating the prognostic significance of Tumour Infiltrating Lymphocytes (TILs) in Post-Transplant Lymphoproliferative Disorder (PTLD): A novel approach. Research Explorer (The University of Manchester). 465. 1 indexed citations
7.
Gao, Chuan, Karthik Devarajan, Yan Zhou, et al.. (2012). Identifying breast cancer risk loci by global differential allele-specific expression (DASE) analysis in mammary epithelial transcriptome. BMC Genomics. 13(1). 570–570. 21 indexed citations
8.
Jiang, Zhengyu, Yan Zhou, Karthik Devarajan, et al.. (2012). Identifying putative breast cancer-associated long intergenic non-coding RNA loci by high density SNP array analysis. Frontiers in Genetics. 3. 299–299. 11 indexed citations
9.
Bellacosa, Alfonso, Andrew K. Godwin, Suraj Peri, et al.. (2010). Altered Gene Expression in Morphologically Normal Epithelial Cells from Heterozygous Carriers of BRCA1 or BRCA2 Mutations. Cancer Prevention Research. 3(1). 48–61. 41 indexed citations
10.
Smith, Elizabeth R., Kathy Q. Cai, Jennifer L. Smedberg, et al.. (2010). Nuclear Entry of Activated MAPK Is Restricted in Primary Ovarian and Mammary Epithelial Cells. PLoS ONE. 5(2). e9295–e9295. 32 indexed citations
11.
Cai, Kathy Q., Corrado Caslini, Callinice D. Capo‐chichi, et al.. (2009). Loss of GATA4 and GATA6 Expression Specifies Ovarian Cancer Histological Subtypes and Precedes Neoplastic Transformation of Ovarian Surface Epithelia. PLoS ONE. 4(7). e6454–e6454. 46 indexed citations
12.
Li, Xinming, Andrey Frolov, Lisa Vanderveer, et al.. (2008). Molecular mechanisms of action of imatinib mesylate in human ovarian cancer: a proteomic analysis.. PubMed. 5(3-4). 137–49. 20 indexed citations
13.
Azizi, Amedeo A., Ellen Gelpí, Jae‐Won Yang, et al.. (2005). Mass spectrometric identification of serine hydrolase OVCA2 in the medulloblastoma cell line DAOY. Cancer Letters. 241(2). 235–249. 10 indexed citations
14.
Lareef, Mohamed H., Quivo Tahin, Joon Ho Song, et al.. (2004). Chromosome 17p13.2 transfer reverts transformation phenotypes and fas‐mediated apoptosis in breast epithelial cells. Molecular Carcinogenesis. 39(4). 234–246. 1 indexed citations
15.
Russo, José, Mohamed H. Lareef, Quivo Tahin, et al.. (2002). 17β-Estradiol is carcinogenic in human breast epithelial cells. The Journal of Steroid Biochemistry and Molecular Biology. 80(2). 149–162. 67 indexed citations
16.
Russo, José, Yun Hu, Quivo Tahin, et al.. (2001). Carcinogenicity of estrogens in human breast epithelial cells1. Apmis. 109(S103). 3 indexed citations
17.
Russo, José, Yun Hu, Quivo Tahin, et al.. (2001). Carcinogenicity of estrogens in human breast epithelial cells1. Apmis. 109(1). 39–52. 28 indexed citations
18.
Yang, Xiaoqi, Quivo Tahin, You-Gu Hu, et al.. (1999). Functional roles of chromosomes 11 and 17 in the transformation of human breast epithelial cells in vitro.. International Journal of Oncology. 15(4). 629–38. 20 indexed citations
19.
McKee, Ralph W., et al.. (1959). Establishment of Resistance to Growth of Ehrlich Ascites Carcinoma in C57 Black Mice.. Experimental Biology and Medicine. 102(3). 591–593. 12 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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