Mine Cicek

4.2k total citations
21 papers, 717 citations indexed

About

Mine Cicek is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cancer Research. According to data from OpenAlex, Mine Cicek has authored 21 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Cancer Research. Recurrent topics in Mine Cicek's work include Epigenetics and DNA Methylation (3 papers), Ethics in Clinical Research (3 papers) and Soybean genetics and cultivation (3 papers). Mine Cicek is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Ethics in Clinical Research (3 papers) and Soybean genetics and cultivation (3 papers). Mine Cicek collaborates with scholars based in United States, United Kingdom and Australia. Mine Cicek's co-authors include Graham Casey, G. R. Buss, Pengyin Chen, John S. Witte, Sarah J. Plummer, M. A. Saghai Maroof, Stephen N. Thibodeau, Irfan Gunduz, Julie M. Cunningham and S. A. Tolin and has published in prestigious journals such as PLoS ONE, Cancer Research and Human Molecular Genetics.

In The Last Decade

Mine Cicek

20 papers receiving 702 citations

Peers

Mine Cicek

MB

ONCOL

PFM

GENET

CR

George Chong Canada

Andrzej Pławski Poland

Matthias Ruebner Germany

Logan C. Walker New Zealand

Maria Pagano Italy

Danielle M. Greenawalt United States

Timothy Su United States

Izabela Łaczmańska Poland

Marta Fichna Poland

Radosław Mądry Poland

George Chong Canada

Mine Cicek

212 ×1.0

MB

264 ×1.3

ONCOL

227 ×1.1

PFM

189 ×1.2

GENET

200 ×1.3

CR

Citations per year, relative to Mine Cicek Mine Cicek (= 1×) peers George Chong

Countries citing papers authored by Mine Cicek

Since Specialization

Citations

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

Fields of papers citing papers by Mine Cicek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mine Cicek

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

All Works

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20 of 20 papers shown

1.

Miller, Cheryl N., Keri N. Althoff, David J. Schlueter, et al.. (2022). Concordance of SARS-CoV-2 Antibody Results during a Period of Low Prevalence. mSphere. 7(5). e0025722–e0025722.

2.

Baxter, Sally L., Bharanidharan Radha Saseendrakumar, Paulina Paul, et al.. (2021). Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal of Ophthalmology. 227. 74–86. 38 indexed citations

3.

Karnes, Jason H., Amit Arora, Heidi E. Steiner, et al.. (2021). Racial, ethnic, and gender differences in obesity and body fat distribution: An All of Us Research Program demonstration project. PLoS ONE. 16(8). e0255583–e0255583. 37 indexed citations

4.

Giangreco, Nicholas, Jun Qian, Vignesh Subbian, et al.. (2021). Pediatric data from the All of Us research program: demonstration of pediatric obesity over time. JAMIA Open. 4(4). ooab112–ooab112. 1 indexed citations

5.

Hathcock, Matthew, Euijung Ryu, Ruchi Gupta, et al.. (2020). Characteristics Associated With Recruitment and Re-contact in Mayo Clinic Biobank. Frontiers in Public Health. 8. 9–9. 5 indexed citations

6.

Cicek, Mine & Janet E. Olson. (2020). Mini-Review of Laboratory Operations in Biobanking: Building Biobanking Resources for Translational Research. Frontiers in Public Health. 8. 362–362. 7 indexed citations

7.

Olson, Janet E., Euijung Ryu, Matthew Hathcock, et al.. (2019). Characteristics and utilisation of the Mayo Clinic Biobank, a clinic-based prospective collection in the USA: cohort profile. BMJ Open. 9(11). e032707–e032707. 33 indexed citations

8.

Fridley, Brooke L., Sebastian M. Armasu, Mine Cicek, et al.. (2014). Methylation of leukocyte DNA and ovarian cancer: relationships with disease status and outcome. BMC Medical Genomics. 7(1). 21–21. 22 indexed citations

9.

Song, Honglin, Mine Cicek, Ed Dicks, et al.. (2014). The contribution of deleterious germline mutations in BRCA1, BRCA2 and the mismatch repair genes to ovarian cancer in the population. Human Molecular Genetics. 23(17). 4703–4709. 91 indexed citations

10.

Wang, Chen, Mine Cicek, Bridget Charbonneau, et al.. (2014). Tumor Hypomethylation at 6p21.3 Associates with Longer Time to Recurrence of High-Grade Serous Epithelial Ovarian Cancer. Cancer Research. 74(11). 3084–3091. 27 indexed citations

11.

Cicek, Mine, Noralane M. Lindor, Steven Gallinger, et al.. (2011). Quality Assessment and Correlation of Microsatellite Instability and Immunohistochemical Markers among Population- and Clinic-Based Colorectal Tumors. Journal of Molecular Diagnostics. 13(3). 271–281. 113 indexed citations

12.

Ward, Christopher J., Yanhong Wu, Ruth Johnson, et al.. (2011). Germline PKHD1 mutations are protective against colorectal cancer. Human Genetics. 129(3). 345–349. 22 indexed citations

13.

Ross, Phillip, Iona Cheng, Xin Liu, et al.. (2009). Carboxypeptidase 4 gene variants and early-onset intermediate-to-high risk prostate cancer. BMC Cancer. 9(1). 69–69. 42 indexed citations

14.

Cicek, Mine, Susan L. Slager, Sara J. Achenbach, et al.. (2009). Functional and Clinical Significance of Variants Localized to 8q24 in Colon Cancer. Cancer Epidemiology Biomarkers & Prevention. 18(9). 2492–2500. 34 indexed citations

15.

Ochs‐Balcom, Heather M., Mine Cicek, Cheryl L. Thompson, et al.. (2008). Association of vitamin D receptor gene variants, adiposity and colon cancer. Carcinogenesis. 29(9). 1788–1793. 52 indexed citations

16.

Jorgenson, Eric, Steven R. Deitcher, Mine Cicek, et al.. (2006). Plasminogen activator inhibitor type‐1 (PAI‐1) polymorphism 4G/5G is associated with prostate cancer among men with a positive family history. The Prostate. 67(2). 172–177. 8 indexed citations

17.

Li, Li, Mine Cicek, Graham Casey, & John S. Witte. (2004). No Association between Genetic Polymorphisms in IGF-I and IGFBP-3 and Prostate Cancer. Cancer Epidemiology Biomarkers & Prevention. 13(3). 497–498. 33 indexed citations

18.

Loukola, Anu, Mónica Chadha, Sharron G. Penn, et al.. (2003). Comprehensive evaluation of the association between prostate cancer and genotypes/haplotypes in CYP17A1, CYP3A4, and SRD5A2. European Journal of Human Genetics. 12(4). 321–332. 40 indexed citations

19.

Chen, Pengyin, G. R. Buss, S. A. Tolin, Irfan Gunduz, & Mine Cicek. (2002). A Valuable Gene in Suweon 97 Soybean for Resistance to Soybean Mosaic Virus. Crop Science. 42(2). 333–337. 43 indexed citations

20.

Chen, Pengyin, G. R. Buss, S. A. Tolin, Irfan Gunduz, & Mine Cicek. (2002). A Valuable Gene in Suweon 97 Soybean for Resistance to Soybean Mosaic Virus. Crop Science. 42(2). 333–333. 16 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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