Selen Bozkurt

2.0k total citations
111 papers, 1.3k citations indexed

About

Selen Bozkurt is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Selen Bozkurt has authored 111 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 23 papers in Artificial Intelligence and 13 papers in Molecular Biology. Recurrent topics in Selen Bozkurt's work include Machine Learning in Healthcare (11 papers), Biomedical Text Mining and Ontologies (11 papers) and Topic Modeling (9 papers). Selen Bozkurt is often cited by papers focused on Machine Learning in Healthcare (11 papers), Biomedical Text Mining and Ontologies (11 papers) and Topic Modeling (9 papers). Selen Bozkurt collaborates with scholars based in Türkiye, United States and United Kingdom. Selen Bozkurt's co-authors include Tina Hernandez‐Boussard, John P. A. Ioannidis, Nigam H. Shah, Daniel L. Rubin, Murat Turhan, Imon Banerjee, Ömer Gökhan Doluoğlu, Onur Telli, James D. Brooks and Allison W. Kurian and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Selen Bozkurt

99 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Selen Bozkurt Türkiye	20	312	259	228	214	161	111	1.3k
Jason Hom United States	22	268 0.9×	261 1.0×	327 1.4×	386 1.8×	458 2.8×	66	1.7k
Kerstin Noëlle Vokinger Switzerland	19	273 0.9×	101 0.4×	463 2.0×	340 1.6×	74 0.5×	68	1.6k
Luke Gompels United Kingdom	10	180 0.6×	75 0.3×	290 1.3×	180 0.8×	64 0.4×	13	1.0k
Jeremiah S. Hinson United States	20	183 0.6×	105 0.4×	109 0.5×	213 1.0×	382 2.4×	62	1.8k
Stan Benjamens Netherlands	13	209 0.7×	120 0.5×	403 1.8×	272 1.3×	57 0.4×	35	978
Shelly Soffer Israel	21	303 1.0×	364 1.4×	214 0.9×	509 2.4×	249 1.5×	97	2.1k
Ronilda Lacson United States	23	452 1.4×	395 1.5×	243 1.1×	808 3.8×	62 0.4×	107	1.8k
Jamil S. Samaan United States	15	228 0.7×	138 0.5×	523 2.3×	237 1.1×	87 0.5×	48	1.1k
Soon Hyo Kwon South Korea	20	71 0.2×	194 0.7×	194 0.9×	150 0.7×	124 0.8×	94	1.4k
Lynne Penberthy United States	26	216 0.7×	396 1.5×	51 0.2×	120 0.6×	112 0.7×	62	2.8k

Countries citing papers authored by Selen Bozkurt

Since Specialization

Citations

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

Fields of papers citing papers by Selen Bozkurt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selen Bozkurt

This figure shows the co-authorship network connecting the top 25 collaborators of Selen Bozkurt. A scholar is included among the top collaborators of Selen Bozkurt 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 Selen Bozkurt. Selen Bozkurt 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

Zerdan, Maroun Bou, Badi El Osta, Ticiana Leal, et al.. (2025). Survival Determinants and Sociodemographic Disparities in Early-Onset Non–Small Cell Lung Cancer. JAMA Network Open. 8(10). e2537307–e2537307.

Ranjan, Rajiv, et al.. (2025). Automating inductive thematic analyses of health content using large language models: a proof-of-concept study using social media data. JAMIA Open. 8(5). ooaf102–ooaf102.

Bozkurt, Selen, et al.. (2025). Mapping Ethical Guidelines for AI in Healthcare: A Global Perspective. Studies in health technology and informatics. 327. 1358–1362.

Bozkurt, Selen, Anne M. Walling, Charlotta Lindvall, et al.. (2025). AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation. Journal of Pain and Symptom Management. 70(6). e394–e418. 1 indexed citations

Bozkurt, Selen, Anne M. Walling, Charlotta Lindvall, et al.. (2024). Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review. JMIR Research Protocols. 13. e56353–e56353. 1 indexed citations

Benedum, Corey M., et al.. (2024). POP‐REFINE: A Comprehensive Framework for Evaluating and Optimizing Representativeness in Clinical Trials. Clinical Pharmacology & Therapeutics. 117(4). 1051–1060.

Benedum, Corey M., et al.. (2024). HPR128 Benchmarking Clinical Trial Diversity: Methods to Characterize Eligibility-Based Representativeness. Value in Health. 27(6). S216–S216. 1 indexed citations

Bozkurt, Selen, et al.. (2023). Evaluation of race/ethnicity-specific survival machine learning models for Hispanic and Black patients with breast cancer. BMJ Health & Care Informatics. 30(1). e100666–e100666. 6 indexed citations

Benedum, Corey M., et al.. (2023). Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning. Cancers. 15(6). 1853–1853. 17 indexed citations

10.

Kurtoğlu, Erdal, et al.. (2019). Association between serum vitamin D level and liver MRI T2 star in patients with β-thalassemia major. Turkish Journal of Biochemistry. 44(5). 594–598. 1 indexed citations

11.

Seneviratne, Martin, et al.. (2019). Machine Learning Approaches for Extracting Stage from Pathology Reports in Prostate Cancer. Studies in health technology and informatics. 264. 1522–1523. 11 indexed citations

12.

Banerjee, Imon, et al.. (2019). Automatic inference of BI-RADS final assessment categories from narrative mammography report findings. Journal of Biomedical Informatics. 92. 103137–103137. 14 indexed citations

13.

Dönmez, Levent, et al.. (2018). Defining the Natural Course of Psoriasis: A Single-Center Cohort Study of 100 Patients. Turkish Journal of Dermatology. 12(1). 33–37. 3 indexed citations

14.

Temel, Aslı Bilgiç, et al.. (2018). Evaluation of Ear, Nose, and Throat Involvement in Pemphigus Vulgaris in Comparison with Pemphigus Severity Scoring Systems: A Cross-sectional Study.. PubMed. 26(4). 283–288.

15.

Temel, Aslı Bilgiç, et al.. (2017). Evaluations of Audiovestibular Manifestations in Patients with Psoriasis. Turkish Journal of Dermatology. 162–167. 6 indexed citations

16.

Karakuş, Volkan, et al.. (2017). NT-proBNP levels in β-thalassemia major patients without cardiac hemosiderosis. Turkish Journal of Biochemistry. 42(1). 71–75.

17.

Kurtoğlu, Erdal, et al.. (2017). Expression of CD55, CD59, and CD35 on red blood cells of β-thalassaemia patients. Central European Journal of Immunology. 42(1). 78–84. 7 indexed citations

18.

Toptaş, Tayfun, Alper Karalök, Işın Üreyen, et al.. (2016). Liver recurrence in endometrial cancer: a multi-institutional analysis of factors predictive of postrecurrence survival. Clinical & Experimental Metastasis. 33(7). 707–715. 3 indexed citations

19.

Bozkurt, Selen, Francisco Javier Giménez Fuentes‐Guerra, Elizabeth S. Burnside, Kemal Hakan Gülkesen, & Daniel L. Rubin. (2016). Using automatically extracted information from mammography reports for decision-support. Journal of Biomedical Informatics. 62. 224–231. 42 indexed citations

20.

Özpelit, Ebru, et al.. (2015). Impact of Severe Tricuspid Regurgitation on Accuracy of Echocardiographic Pulmonary Artery Systolic Pressure Estimation. Echocardiography. 32(10). 1483–1490. 21 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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