Ercan Kurar

742 total citations
68 papers, 554 citations indexed

About

Ercan Kurar is a scholar working on Molecular Biology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Ercan Kurar has authored 68 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Genetics and 15 papers in Agronomy and Crop Science. Recurrent topics in Ercan Kurar's work include Genetic and phenotypic traits in livestock (15 papers), Reproductive Physiology in Livestock (13 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Ercan Kurar is often cited by papers focused on Genetic and phenotypic traits in livestock (15 papers), Reproductive Physiology in Livestock (13 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Ercan Kurar collaborates with scholars based in Türkiye, United States and Austria. Ercan Kurar's co-authors include Canan Eroğlu Güneş, Mehmet Osman Atlı, Hasibe Cıngıllı Vural, Aydın Güzeloğlu, Seyit Ali Kayış, Selim Aslan, Faruk Ayhan Başçiftçi, Zafer Bulut, Sefa Çeli̇k and Mücahit Seçme and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Biology of Reproduction.

In The Last Decade

Ercan Kurar

57 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ercan Kurar Türkiye 13 182 148 136 128 61 68 554
Sally Ibrahim Egypt 11 86 0.5× 146 1.0× 147 1.1× 52 0.4× 10 0.2× 40 422
Yiping Zhao China 11 159 0.9× 77 0.5× 30 0.2× 64 0.5× 9 0.1× 33 320
Dermot G. Morris Ireland 19 352 1.9× 573 3.9× 286 2.1× 384 3.0× 65 1.1× 28 1.2k
Mingxia Zhu China 16 316 1.7× 55 0.4× 67 0.5× 93 0.7× 11 0.2× 49 694
Ayman A. Saleh Egypt 18 261 1.4× 41 0.3× 71 0.5× 110 0.9× 13 0.2× 37 714
Amjad Riaz Pakistan 12 102 0.6× 78 0.5× 76 0.6× 66 0.5× 10 0.2× 66 561
Xueyuan Jiang China 15 365 2.0× 28 0.2× 51 0.4× 44 0.3× 30 0.5× 31 613
C.M. Corl United States 10 60 0.3× 273 1.8× 75 0.6× 65 0.5× 56 0.9× 14 418
Yao Bai China 14 215 1.2× 53 0.4× 41 0.3× 73 0.6× 11 0.2× 40 645
Kathryn H. Brooks United States 15 210 1.2× 40 0.3× 353 2.6× 39 0.3× 60 1.0× 32 774

Countries citing papers authored by Ercan Kurar

Since Specialization
Citations

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

Fields of papers citing papers by Ercan Kurar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ercan Kurar

This figure shows the co-authorship network connecting the top 25 collaborators of Ercan Kurar. A scholar is included among the top collaborators of Ercan Kurar 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 Ercan Kurar. Ercan Kurar 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.
Güneş, Canan Eroğlu, et al.. (2025). Boric Acid Stimulates Wound Closure and Modulates EMT-Related Gene Expression in HaCaT Cells. Biological Trace Element Research.
2.
Gürbîlek, Mehmet, et al.. (2025). Anticancer activity of thymoquinone in non-small cell lung cancer and possible involvement of PPAR- γ pathway. International Journal of Radiation Biology. 101(4). 370–381.
3.
Güneş, Canan Eroğlu, et al.. (2023). Apelin triggers macrophage polarization to M2 type in head and neck cancer. Immunobiology. 228(2). 152353–152353. 7 indexed citations
4.
Kapaklı, Hasan, Esra Hazar Sayar, Şükrü Nail Güner, et al.. (2023). Identification of the Mutation in DCLRE1C Gene by PCR-RFLP. eArşiv - KMÜ (Karamanoğlu Mehmetbey University). 1 indexed citations
5.
Güneş, Canan Eroğlu, et al.. (2023). Investigation of Viburnum opulus L. Apoptotic Effect on LNCaP Prostate Cancer Cell Line. 2 indexed citations
6.
Kurar, Ercan, et al.. (2023). Sinapik Asidin D17 Köpek Osteosarkom Hücre Hattında Apoptotik Etkisinin Değerlendirilmesi. Kafkas Universitesi Veteriner Fakultesi Dergisi.
7.
Güneş, Canan Eroğlu, et al.. (2022). Apoptotic and Anti-Metastatic Effect of Carvacrol in PANC-1 Human Pancreatic Cancer Cells. 5 indexed citations
8.
Kapaklı, Hasan, et al.. (2022). A family screening of CD19 gene mutation by PCR-RFLP. European Journal of Clinical and Experimental Medicine. 20(2). 141–145. 2 indexed citations
9.
Kurar, Ercan, et al.. (2019). Phylogenetic relationships of native Turkish cattle breeds using microsatellite markers. TURKISH JOURNAL OF VETERINARY AND ANIMAL SCIENCES. 43(1). 23–29. 10 indexed citations
10.
Güneş, Canan Eroğlu, et al.. (2018). The Combination Effect of Ferulic Acid and Gemcitabine on Expression of Genes Related Apoptosis and Metastasis in PC-3 Prostate Cancer Cells. DergiPark (Istanbul University). 77(1). 32–37. 8 indexed citations
11.
Güneş, Canan Eroğlu, et al.. (2018). Anticancer mechanism of Sinapic acid in PC-3 and LNCaP human prostate cancer cell lines. Gene. 671. 127–134. 58 indexed citations
12.
Acar, Hasan, et al.. (2017). Selection of reliable reference genes for qRT-PCR analysis on head and neck squamous cell carcinomas. Biomedical Research-tokyo. 28(5). 2014–2018. 1 indexed citations
13.
Bulut, Zafer, et al.. (2013). Determination of chromosomal regions affecting body weight and egg production in Denizli × White Leghorn F2 populations.. Eurasian journal of veterinary sciences. 29(1). 30–38. 3 indexed citations
14.
Kurar, Ercan, et al.. (2012). Expression of Toll-like receptors (TLRs) in the equine peripheral blood mononuclear cells (PBMCs) during the early pregnancy and estrous cycle. SHILAP Revista de lepidopterología. 28(1). 15–20. 1 indexed citations
15.
Kurar, Ercan, et al.. (2011). Growth and some period yield characteristics of Denizli × Leghorn crosses (F2).. Eurasian journal of veterinary sciences. 27(3). 177–182. 2 indexed citations
16.
Kurar, Ercan, et al.. (2011). POMC, INOS, PGES, IL-4, IL-5 and IL-10 gene expression in peripheral blood mononuclear cells of cyclic and pregnant mares.. Kafkas Universitesi Veteriner Fakultesi Dergisi. 17(2). 319–323. 4 indexed citations
17.
Kayış, Seyit Ali, et al.. (2011). Rating of putative housekeeping genes for quantitative gene expression analysis in cyclic and early pregnant equine endometrium. Animal Reproduction Science. 125(1-4). 124–132. 24 indexed citations
18.
Kurar, Ercan, et al.. (2010). Genetic characterization of some native cattle breeds in Turkey by using STR markers.. Proceedings of the Royal Society of Medicine. 3(1). 163–171. 5 indexed citations
19.
Kurar, Ercan, et al.. (2010). Comparison of five different RNA isolation methods from equine endometrium for gene Transcription analysis. Kafkas Universitesi Veteriner Fakultesi Dergisi. 16(5). 851–855. 15 indexed citations
20.
Atlı, Mehmet Osman, Ercan Kurar, Seyit Ali Kayış, et al.. (2010). Evaluation of genes involved in prostaglandin action in equine endometrium during estrous cycle and early pregnancy. Animal Reproduction Science. 122(1-2). 124–132. 51 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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