Irina Gurvich

942 total citations
19 papers, 756 citations indexed

About

Irina Gurvich is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Irina Gurvich has authored 19 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Irina Gurvich's work include Epigenetics and DNA Methylation (5 papers), Estrogen and related hormone effects (5 papers) and Cancer-related molecular mechanisms research (5 papers). Irina Gurvich is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Estrogen and related hormone effects (5 papers) and Cancer-related molecular mechanisms research (5 papers). Irina Gurvich collaborates with scholars based in United States, Taiwan and India. Irina Gurvich's co-authors include Regina M. Santella, Ruby T. Senie, Mary Beth Terry, Jing Shen, Yuyan Liao, Jing Shen, Michael Lipsky, Gregory W. Hruby, Regina M. Santella and Mitchell C. Benson and has published in prestigious journals such as PLoS ONE, Cancer Research and American Heart Journal.

In The Last Decade

Irina Gurvich

19 papers receiving 743 citations

Peers

Irina Gurvich

GENET

PHYSI

ONCOL

Hisato Inatomi Japan

Ulrike Kogel Switzerland

Lara E. Sucheston‐Campbell United States

Ramakrishna Modali United States

Jennifer Y. Lai United States

M. T. Landi United States

Anush Mukeria France

Chris Carlson United States

Nalini Chandar United States

Joel Mefford United States

Hisato Inatomi Japan

Irina Gurvich

526 ×1.1

132 ×0.4

96 ×0.6

GENET

81 ×0.6

PHYSI

89 ×1.0

ONCOL

Citations per year, relative to Irina Gurvich Irina Gurvich (= 1×) peers Hisato Inatomi

Countries citing papers authored by Irina Gurvich

Since Specialization

Citations

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

Fields of papers citing papers by Irina Gurvich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Gurvich

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

All Works

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19 of 19 papers shown

Navas‐Acién, Ana, Regina M. Santella, Bonnie R. Joubert, et al.. (2024). Baseline characteristics including blood and urine metal levels in the Trial to Assess Chelation Therapy 2 (TACT2). American Heart Journal. 273. 72–82. 2 indexed citations

Tehranifar, Parisa, Hui‐Chen Wu, Jasmine A. McDonald, et al.. (2017). Maternal cigarette smoking during pregnancy and offspring DNA methylation in midlife. Epigenetics. 13(2). 129–134. 41 indexed citations

Yeh, Chih‐Ching, Abhishek Goyal, Jing Shen, et al.. (2017). Global Level of Plasma DNA Methylation is Associated with Overall Survival in Patients with Hepatocellular Carcinoma. Annals of Surgical Oncology. 24(12). 3788–3795. 17 indexed citations

Shen, Jing, Qiao Wang, Irina Gurvich, Helen Remotti, & Regina M. Santella. (2016). Evaluating normalization approaches for the better identification of aberrant microRNAs associated with hepatocellular carcinoma. Hepatoma Research. 2(11). 305–315. 12 indexed citations

Shen, Jing, Chih‐Ching Yeh, Qiao Wang, et al.. (2016). Plasma Adiponectin and Hepatocellular Carcinoma Survival Among Patients Without Liver Transplantation. Anticancer Research. 36(10). 5307–5314. 16 indexed citations

Wu, Hui‐Chen, Qiao Wang, Wendy K. Chung, et al.. (2014). Correlation of DNA methylation levels in blood and saliva DNA in young girls of the LEGACY Girls study. Epigenetics. 9(7). 929–933. 30 indexed citations

Lai, Rose, Yanwen Chen, Xiaowei Guan, et al.. (2014). Genome-Wide Methylation Analyses in Glioblastoma Multiforme. PLoS ONE. 9(2). e89376–e89376. 44 indexed citations

Shen, Jing, Antai Wang, Qiao Wang, et al.. (2013). Exploration of Genome-Wide Circulating MicroRNA in Hepatocellular Carcinoma: MiR-483-5p as a Potential Biomarker. Cancer Epidemiology Biomarkers & Prevention. 22(12). 2364–2373. 87 indexed citations

Shen, Jing, Mary Beth Terry, Yuyan Liao, et al.. (2012). Genetic Variation in Telomere Maintenance Genes, Telomere Length and Breast Cancer Risk. PLoS ONE. 7(9). e44308–e44308. 11 indexed citations

10.

Shen, Jing, Gregory W. Hruby, James M. McKiernan, et al.. (2012). Dysregulation of circulating microRNAs and prediction of aggressive prostate cancer. The Prostate. 72(13). 1469–1477. 150 indexed citations

11.

Zipprich, Jennifer, Mary Beth Terry, Paul W. Brandt‐Rauf, et al.. (2010). XRCC1 polymorphisms and breast cancer risk from the New York Site of the Breast Cancer Family Registry: A family-based case-control study. Journal of Carcinogenesis. 9(1). 4–4. 29 indexed citations

12.

Zipprich, Jennifer, Mary Beth Terry, Yuyan Liao, et al.. (2009). Plasma Protein Carbonyls and Breast Cancer Risk in Sisters Discordant for Breast Cancer from the New York Site of the Breast Cancer Family Registry. Cancer Research. 69(7). 2966–2972. 28 indexed citations

13.

Chen, Yu, Marilie D. Gammon, Susan L. Teitelbaum, et al.. (2008). Estrogen-biosynthesis gene CYP17 and its interactions with reproductive, hormonal and lifestyle factors in breast cancer risk: results from the Long Island Breast Cancer Study Project. Carcinogenesis. 29(4). 766–771. 26 indexed citations

14.

Machella, Nicola, Mary Beth Terry, Jennifer Zipprich, et al.. (2008). Double-strand breaks repair in lymphoblastoid cell lines from sisters discordant for breast cancer from the New York site of the BCFR. Carcinogenesis. 29(7). 1367–1372. 28 indexed citations

15.

Gammon, Marilie D., Muhammad G. Kibriya, Yu Chen, et al.. (2007). A CYP19 (aromatase) polymorphism is associated with increased premenopausal breast cancer risk. Breast Cancer Research and Treatment. 111(3). 481–487. 26 indexed citations

16.

Shen, Jing, Mary Beth Terry, Irina Gurvich, et al.. (2007). Short Telomere Length and Breast Cancer Risk: A Study in Sister Sets. Cancer Research. 67(11). 5538–5544. 125 indexed citations

17.

Greenlee, Heather, Yu Chen, Geoffrey C. Kabat, et al.. (2006). Variants in estrogen metabolism and biosynthesis genes and urinary estrogen metabolites in women with a family history of breast cancer. Breast Cancer Research and Treatment. 102(1). 111–117. 17 indexed citations

18.

Ahsan, Habibul, Yu Chen, Alice S. Whittemore, et al.. (2004). A Family-based Genetic Association Study of Variants in Estrogen-metabolism Genes COMT and CYP1B1 and Breast Cancer Risk. Breast Cancer Research and Treatment. 85(2). 121–131. 34 indexed citations

19.

Ahsan, Habibul, Alice S. Whittemore, Yu Chen, et al.. (2004). Variants in estrogen-biosynthesis genes CYP17 and CYP19 and breast cancer risk: a family-based genetic association study. Breast Cancer Research. 7(1). R71–81. 33 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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