Oğuzhan Alagöz

7.6k total citations · 2 hit papers
122 papers, 4.6k citations indexed

About

Oğuzhan Alagöz is a scholar working on Oncology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Oğuzhan Alagöz has authored 122 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Oncology, 23 papers in Cancer Research and 18 papers in Artificial Intelligence. Recurrent topics in Oğuzhan Alagöz's work include Global Cancer Incidence and Screening (64 papers), Colorectal Cancer Screening and Detection (35 papers) and Cancer Risks and Factors (27 papers). Oğuzhan Alagöz is often cited by papers focused on Global Cancer Incidence and Screening (64 papers), Colorectal Cancer Screening and Detection (35 papers) and Cancer Risks and Factors (27 papers). Oğuzhan Alagöz collaborates with scholars based in United States, Canada and Netherlands. Oğuzhan Alagöz's co-authors include Elizabeth S. Burnside, Natasha K. Stout, Mark S. Roberts, Andrew J. Schaefer, Turgay Ayer, Jagpreet Chhatwal, Amy Trentham‐Dietz, Beate Jahn, Lisa M. Maillart and Uwe Siebert and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Oğuzhan Alagöz

115 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3

2012 349 citations Uwe Siebert, Oğuzhan Alagöz et al. Value in Health profile →
Analysis of Breast Cancer Mortality in the US—1975 to 2019

2024 89 citations John M. Hampton, Jinani Jayasekera et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oğuzhan Alagöz United States	39	1.5k	904	643	610	493	122	4.6k
Natasha K. Stout United States	32	2.2k 1.5×	586 0.6×	474 0.7×	788 1.3×	386 0.8×	106	4.1k
Jing Qin United States	49	1.8k 1.2×	389 0.4×	645 1.0×	656 1.1×	632 1.3×	231	7.1k
J. Robert Beck United States	31	1.1k 0.7×	1.7k 1.9×	247 0.4×	1.0k 1.6×	1.1k 2.1×	112	6.5k
Shuangge Ma United States	41	868 0.6×	302 0.3×	826 1.3×	323 0.5×	462 0.9×	334	7.3k
Trevor F. Cox United Kingdom	30	771 0.5×	220 0.2×	260 0.4×	329 0.5×	405 0.8×	107	3.6k
Dennis G. Fryback United States	43	2.6k 1.8×	2.4k 2.6×	440 0.7×	1.4k 2.3×	1.1k 2.2×	110	9.5k
Elia Biganzoli Italy	37	1.6k 1.1×	114 0.1×	449 0.7×	771 1.3×	376 0.8×	240	6.8k
Odd O. Aalen Norway	38	424 0.3×	802 0.9×	666 1.0×	551 0.9×	542 1.1×	121	6.4k
Simon Jones United Kingdom	45	1.2k 0.9×	831 0.9×	297 0.5×	472 0.8×	1.4k 2.9×	198	8.3k
Jonathan Karnon Australia	37	915 0.6×	2.3k 2.5×	91 0.1×	484 0.8×	899 1.8×	288	7.1k

Countries citing papers authored by Oğuzhan Alagöz

Since Specialization

Citations

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

Fields of papers citing papers by Oğuzhan Alagöz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oğuzhan Alagöz

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ruan, Yibing, et al.. (2024). Examining breast cancer screening recommendations in Canada: The projected resource impact of screening among women aged 40–49. Journal of Medical Screening. 32(1). 35–43.

Alagöz, Oğuzhan, et al.. (2024). Predictive Modeling of Hypertension-Related Postpartum Readmission: Retrospective Cohort Analysis. PubMed. 3. e48588–e48588.

Burnside, Elizabeth S., Sarina Schrager, Lori L. DuBenske, et al.. (2022). Team Science Principles Enhance Cancer Care Delivery Quality Improvement: Interdisciplinary Implementation of Breast Cancer Screening Shared Decision Making. JCO Oncology Practice. 19(1). e1–e7. 3 indexed citations

Ravesteyn, Nicolien T. van, Clyde B. Schechter, John M. Hampton, et al.. (2021). Trade-Offs Between Harms and Benefits of Different Breast Cancer Screening Intervals Among Low-Risk Women. JNCI Journal of the National Cancer Institute. 113(8). 1017–1026. 10 indexed citations

Alagöz, Oğuzhan, Kathryn P. Lowry, Allison W. Kurian, et al.. (2021). Impact of the COVID-19 Pandemic on Breast Cancer Mortality in the US: Estimates From Collaborative Simulation Modeling. JNCI Journal of the National Cancer Institute. 113(11). 1484–1494. 100 indexed citations

Yeh, Jennifer M., Kathryn P. Lowry, Clyde B. Schechter, et al.. (2021). Breast Cancer Screening Among Childhood Cancer Survivors Treated Without Chest Radiation: Clinical Benefits and Cost-Effectiveness. JNCI Journal of the National Cancer Institute. 114(2). 235–244. 7 indexed citations

Trentham‐Dietz, Amy, Oğuzhan Alagöz, Christina Chapman, et al.. (2021). Reflecting on 20 years of breast cancer modeling in CISNET: Recommendations for future cancer systems modeling efforts. PLoS Computational Biology. 17(6). e1009020–e1009020. 10 indexed citations

Yeh, Jennifer M., Kathryn P. Lowry, Clyde B. Schechter, et al.. (2020). Clinical Benefits, Harms, and Cost-Effectiveness of Breast Cancer Screening for Survivors of Childhood Cancer Treated With Chest Radiation. Annals of Internal Medicine. 173(5). 331–341. 1 indexed citations

Ergün, Mehmet Ali, et al.. (2019). Cost-effectiveness of adjuvant paclitaxel and trastuzumab for early-stage node-negative, HER2-positive breast cancer. PLoS ONE. 14(6). e0217778–e0217778. 10 indexed citations

10.

Burnside, Elizabeth S., Amy Trentham‐Dietz, John M. Hampton, et al.. (2019). Age-based versus Risk-based Mammography Screening in Women 40–49 Years Old: A Cross-sectional Study. Radiology. 292(2). 321–328. 12 indexed citations

11.

Trentham‐Dietz, Amy, Karla Kerlikowske, Natasha K. Stout, et al.. (2016). Tailoring Breast Cancer Screening Intervals by Breast Density and Risk for Women Aged 50 Years or Older: Collaborative Modeling of Screening Outcomes. Annals of Internal Medicine. 165(10). 700–712. 89 indexed citations

12.

Gangnon, Ronald E., Brian L. Sprague, Natasha K. Stout, et al.. (2015). The Contribution of Mammography Screening to Breast Cancer Incidence Trends in the United States: An Updated Age–Period–Cohort Model. Cancer Epidemiology Biomarkers & Prevention. 24(6). 905–912. 57 indexed citations

13.

Mittmann, Nicole, Natasha K. Stout, Pablo Lee, et al.. (2015). Total cost-effectiveness of mammography screening strategies.. PubMed. 26(12). 16–25. 29 indexed citations

14.

Yaffe, Martin J., Nicole Mittmann, Pablo Lee, et al.. (2015). Modelling mammography screening for breast cancer in the Canadian context: Modification and testing of a microsimulation model.. PubMed. 26(12). 3–8. 10 indexed citations

15.

Yaffe, Martin J., Nicole Mittmann, Pablo Lee, et al.. (2015). Clinical outcomes of modelling mammography screening strategies.. PubMed. 26(12). 9–15. 17 indexed citations

16.

Ravesteyn, Nicolien T. van, Diana L. Miglioretti, Natasha K. Stout, et al.. (2012). Tipping the Balance of Benefits and Harms to Favor Screening Mammography Starting at Age 40 Years. Obstetrical & Gynecological Survey. 67(8). 481–482. 1 indexed citations

17.

Siebert, Uwe, Oğuzhan Alagöz, Ahmed M. Bayoumi, et al.. (2012). State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3. Value in Health. 15(6). 812–820. 349 indexed citations breakdown →

18.

Ayer, Turgay, Oğuzhan Alagöz, Jagpreet Chhatwal, et al.. (2010). Breast cancer risk estimation with artificial neural networks revisited. Cancer. 116(14). 3310–3321. 90 indexed citations

19.

Burnside, Elizabeth S., Jesse Davis, Jagpreet Chhatwal, et al.. (2009). Probabilistic Computer Model Developed from Clinical Data in National Mammography Database Format to Classify Mammographic Findings. Radiology. 251(3). 663–672. 66 indexed citations

20.

Alagöz, Oğuzhan, Bryan A. Norman, & Alice E. Smith. (2008). Determining aisle structures for facility designs using a hierarchy of algorithms. IIE Transactions. 40(11). 1019–1031. 13 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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