Dora Il’yasova

6.4k total citations · 2 hit papers
74 papers, 3.5k citations indexed

About

Dora Il’yasova is a scholar working on Molecular Biology, Biochemistry and Oncology. According to data from OpenAlex, Dora Il’yasova has authored 74 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Biochemistry and 15 papers in Oncology. Recurrent topics in Dora Il’yasova's work include Antioxidant Activity and Oxidative Stress (19 papers), Glioma Diagnosis and Treatment (7 papers) and Global Cancer Incidence and Screening (6 papers). Dora Il’yasova is often cited by papers focused on Antioxidant Activity and Oxidative Stress (19 papers), Glioma Diagnosis and Treatment (7 papers) and Global Cancer Incidence and Screening (6 papers). Dora Il’yasova collaborates with scholars based in United States, United Kingdom and Canada. Dora Il’yasova's co-authors include Anastasia Ivanova, Ivan Spasojević, Gary G. Schwartz, G SCHWARTZ, Peter M. Scarbrough, Bridget J. McCarthy, Faith G. Davis, Lynne E. Wagenknecht, Leanne M. Redman and Margaret Wrensch and has published in prestigious journals such as Blood, PLoS ONE and Diabetes Care.

In The Last Decade

Dora Il’yasova

71 papers receiving 3.5k citations

Hit Papers

Brain tumor epidemiology: Consensus from the Brain Tumor ... 2008 2026 2014 2020 2008 2018 200 400 600

Peers

Dora Il’yasova
Dora Il’yasova
Citations per year, relative to Dora Il’yasova Dora Il’yasova (= 1×) peers Weiping Teng

Countries citing papers authored by Dora Il’yasova

Since Specialization
Citations

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

Fields of papers citing papers by Dora Il’yasova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dora Il’yasova. 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 Dora Il’yasova. The network helps show where Dora Il’yasova may publish in the future.

Co-authorship network of co-authors of Dora Il’yasova

This figure shows the co-authorship network connecting the top 25 collaborators of Dora Il’yasova. A scholar is included among the top collaborators of Dora Il’yasova 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 Dora Il’yasova. Dora Il’yasova 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.
Landry, Latrice, Makella Coudray, Gary A. Puckrein, et al.. (2023). Demographic Determinants and Geographical Variability of COVID-19 Vaccine Hesitancy in Underserved Communities: Cross-sectional Study. JMIR Public Health and Surveillance. 9. e34163–e34163. 8 indexed citations
2.
Henry, Kevin, et al.. (2023). Capturing emergency dispatch address points as geocoding candidates to quantify delimited confidence in residential geolocation. International Journal of Health Geographics. 22(1). 25–25.
3.
Coudray, Makella, Dora Il’yasova, Gary A. Puckrein, et al.. (2023). The Minority and Rural Coronavirus Insights Study: Design and Baseline Characteristics of a Minority Cohort. Population Health Management. 26(6). 397–407. 2 indexed citations
4.
Scott, Lia C., Tzy‐Mey Kuo, Dora Il’yasova, & Lee R. Mobley. (2021). Geospatial analysis of multiple cancers in individuals in the US, 2004–2014. PubMed. 5. 2–2. 6 indexed citations
5.
Cornish, Alex J., Ben Kinnersley, Philip Law, et al.. (2020). Searching for causal relationships of glioma: a phenome-wide Mendelian randomisation study. British Journal of Cancer. 124(2). 447–454. 9 indexed citations
6.
Tice, Raymond R., Ruiyan Luo, Chad A. Grotegut, et al.. (2018). Initial Assessment of Variability of Responses to Toxicants in Donor-Specific Endothelial Colony Forming Cells. Frontiers in Public Health. 6. 369–369. 3 indexed citations
7.
Scott, Lia C., Lee R. Mobley, & Dora Il’yasova. (2017). Geospatial Analysis of Inflammatory Breast Cancer and Associated Community Characteristics in the United States. International Journal of Environmental Research and Public Health. 14(4). 404–404. 14 indexed citations
8.
Il’yasova, Dora, et al.. (2017). Systemic F2-Isoprostane Levels in Predisposition to Obesity and Type 2 Diabetes: Emphasis on Racial Differences. Diversity & Equality in Health and Care. 14(2). 91–101. 7 indexed citations
9.
Goodman, Michael, Bharat Thyagarajan, Ike S. Okosun, et al.. (2017). African Ancestry Gradient Is Associated with Lower Systemic F2‐Isoprostane Levels. Oxidative Medicine and Cellular Longevity. 2017(1). 8319176–8319176. 9 indexed citations
10.
Goodman, Michael, et al.. (2015). Oxidative stress, oxidative balance score, and hypertension among a racially diverse population. Journal of the American Society of Hypertension. 9(8). 592–599. 34 indexed citations
11.
Il’yasova, Dora, Michael E. Scheurer, Melissa L. Bondy, et al.. (2015). A pooled multisite analysis of the effects of atopic medical conditions in glioma risk in different ethnic groups. Annals of Epidemiology. 25(4). 270–274. 12 indexed citations
12.
Scarbrough, Peter M., Igor Akushevich, Margaret Wrensch, & Dora Il’yasova. (2014). Exploring the association between melanoma and glioma risks. Annals of Epidemiology. 24(6). 469–474. 19 indexed citations
13.
Il’yasova, Dora, Frances Wang, Ivan Spasojević, et al.. (2012). Racial Differences in Urinary F2‐Isoprostane Levels and the Cross‐Sectional Association With bmi. Obesity. 20(10). 2147–2150. 13 indexed citations
14.
Il’yasova, Dora, Peter M. Scarbrough, & Ivan Spasojević. (2012). Urinary biomarkers of oxidative status. Clinica Chimica Acta. 413(19-20). 1446–1453. 199 indexed citations
15.
Tolun, Adviye Ayper, Peter M. Scarbrough, Haoyue Zhang, et al.. (2012). Systemic oxidative stress, as measured by urinary allantoin and F2-isoprostanes, is not increased in Down syndrome. Annals of Epidemiology. 22(12). 892–894. 15 indexed citations
16.
Il’yasova, Dora, Bridget J. McCarthy, Serap Erdal, et al.. (2009). Human Exposure to Selected Animal Neurocarcinogens: A Biomarker-Based Assessment and Implications for Brain Tumor Epidemiology. Journal of Toxicology and Environmental Health Part B. 12(3). 175–187. 4 indexed citations
17.
Bondy, Melissa L., Michael E. Scheurer, Beatrice Malmer, et al.. (2008). Brain tumor epidemiology: Consensus from the Brain Tumor Epidemiology Consortium. Cancer. 113(S7). 1953–1968. 655 indexed citations breakdown →
18.
Il’yasova, Dora, Jason D. Morrow, & Lynne E. Wagenknecht. (2005). Urinary F2‐Isoprostanes Are Not Associated with Increased Risk of Type 2 Diabetes. Obesity Research. 13(9). 1638–1644. 33 indexed citations
19.
Il’yasova, Dora, Jason D. Morrow, Anastasia Ivanova, & Lynne E. Wagenknecht. (2004). Epidemiological marker for oxidant status: comparison of the ELISA and the gas chromatography/mass spectrometry assay for urine 2,3-dinor-5,6-dihydro-15-F2t-isoprostane. Annals of Epidemiology. 14(10). 793–797. 71 indexed citations
20.
Arab, Lenore & Dora Il’yasova. (2003). The Epidemiology of Tea Consumption and Colorectal Cancer Incidence. Journal of Nutrition. 133(10). 3310S–3318S. 49 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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