Korhan Arslan

413 total citations
42 papers, 266 citations indexed

About

Korhan Arslan is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Korhan Arslan has authored 42 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 11 papers in Animal Science and Zoology and 10 papers in Molecular Biology. Recurrent topics in Korhan Arslan's work include Genetic and phenotypic traits in livestock (15 papers), Cancer-related molecular mechanisms research (7 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). Korhan Arslan is often cited by papers focused on Genetic and phenotypic traits in livestock (15 papers), Cancer-related molecular mechanisms research (7 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). Korhan Arslan collaborates with scholars based in Türkiye, United States and Bangladesh. Korhan Arslan's co-authors include Bilal Akyüz, Mehmet Ulaş Çınar, Md Mahmodul Hasan Sohel, Yusuf Konca, Serpil Sarıözkan, Mahmut Kali̇ber, Aytaç Akçay, Yavuz Siliğ, Zeynep Soyer Sarıca and Harun Hızlısoy and has published in prestigious journals such as PLoS ONE, Meat Science and Cell and Tissue Research.

In The Last Decade

Korhan Arslan

36 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Korhan Arslan Türkiye 10 108 80 54 46 35 42 266
Othman E. Othman Egypt 11 175 1.6× 66 0.8× 84 1.6× 40 0.9× 27 0.8× 52 308
Tesfaye Worku China 9 58 0.5× 117 1.5× 41 0.8× 92 2.0× 62 1.8× 13 293
Eleanore V. O’Neil United States 10 85 0.8× 144 1.8× 108 2.0× 40 0.9× 62 1.8× 14 330
Jishun Tang China 12 150 1.4× 138 1.7× 91 1.7× 136 3.0× 64 1.8× 26 388
Chuanliang Ji China 11 68 0.6× 62 0.8× 62 1.1× 17 0.4× 47 1.3× 24 250
Sun-Ho Choi South Korea 10 64 0.6× 74 0.9× 69 1.3× 23 0.5× 149 4.3× 42 342
Eryk Andreas Australia 10 71 0.7× 147 1.8× 50 0.9× 49 1.1× 141 4.0× 34 414
Rayner González-Prendes Spain 13 200 1.9× 126 1.6× 29 0.5× 103 2.2× 9 0.3× 24 350
Sudeep Sahadevan Germany 10 68 0.6× 239 3.0× 46 0.9× 146 3.2× 66 1.9× 22 395
Chaoyun Yang China 10 71 0.7× 121 1.5× 34 0.6× 79 1.7× 11 0.3× 32 250

Countries citing papers authored by Korhan Arslan

Since Specialization
Citations

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

Fields of papers citing papers by Korhan Arslan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Korhan Arslan

This figure shows the co-authorship network connecting the top 25 collaborators of Korhan Arslan. A scholar is included among the top collaborators of Korhan Arslan 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 Korhan Arslan. Korhan Arslan 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.
Yakan, Akın, Hüseyin Özkan, Aytaç Akçay, et al.. (2024). The effects of the feeding duration of propylene glycol on major meat quality parameters and substantial proteins in the muscle of Akkaraman lambs. Meat Science. 217. 109615–109615. 2 indexed citations
2.
Arslan, Korhan, et al.. (2024). Investigation of Expression Levels of Transcription Factor Genes in Native Sheep Breeds of Türkiye. Russian Journal of Genetics. 60(7). 932–938.
3.
Çınar, Mehmet Ulaş, et al.. (2023). Genome-wide association study of early liveweight traits in fat-tailed Akkaraman lambs. PLoS ONE. 18(11). e0291805–e0291805. 6 indexed citations
4.
Çınar, Mehmet Ulaş, et al.. (2023). TLR4, MyD88, and TNF-α Expression in the Lungs of Akkaraman and Romanov Lambs in Response to LPS and LTA. Microscopy and Microanalysis. 29(4). 1488–1502. 1 indexed citations
5.
6.
Arslan, Korhan, et al.. (2022). LPS- and LTA-Induced Expression of TLR4, MyD88, and TNF-α in Lymph Nodes of the Akkaraman and Romanov Lambs. Microscopy and Microanalysis. 28(6). 2078–2092. 6 indexed citations
7.
8.
Arslan, Korhan, et al.. (2021). Association of BRCA1 (G22231T, T25025A, C28300A) polymorphisms with subclinical mastitis and milk yields in Holstein Cattle. Harran Üniversitesi Veteriner Fakültesi Dergisi. 10(1). 12–19. 1 indexed citations
9.
Akyüz, Bilal, et al.. (2021). Investigation of TLR1-9 genes and miR-155 expression in dogs infected with canine distemper. Comparative Immunology Microbiology and Infectious Diseases. 79. 101711–101711. 5 indexed citations
10.
Arslan, Korhan, et al.. (2021). The Antimicrobial Activity of Citrus limon L. against Foodborne Pathogens and Its Anti-Oxidant and Antibiofilm Properties. International Journal of Ayurvedic Medicine. 12(2). 301–308. 1 indexed citations
11.
Sohel, Md Mahmodul Hasan, Bilal Akyüz, Yusuf Konca, et al.. (2020). Differential protein input in the maternal diet alters the skeletal muscle transcriptome in fetal sheep. Mammalian Genome. 31(9-12). 309–324. 7 indexed citations
12.
Çınar, Mehmet Ulaş, et al.. (2020). The EDN2 rs110287192 gene polymorphism is associated with paratuberculosis susceptibility in multibreed cattle population. PLoS ONE. 15(9). e0238631–e0238631. 3 indexed citations
13.
Akyüz, Bilal, et al.. (2020). Association of GH, STAT5A, MYF5 gene polymorphisms with milk somatic cell count, EC and pH levels of Holstein dairy cattle. Animal Biotechnology. 33(3). 401–407. 6 indexed citations
14.
Arslan, Korhan. (2019). Holstein Irkı Sığırlarda FABP4, NR1H3 ve SCD Genleri ile Bazı Süt Verim Özellikleri Arasındaki İlişkilerin Araştırılması. Erciyes Üniversitesi Veteriner Fakültesi Dergisi. 16(2). 115–121. 2 indexed citations
15.
Sohel, Md Mahmodul Hasan, Bilal Akyüz, Yusuf Konca, et al.. (2019). Oxidative stress modulates the expression of apoptosis-associated microRNAs in bovine granulosa cells in vitro. Cell and Tissue Research. 376(2). 295–308. 43 indexed citations
16.
Akyüz, Bilal, et al.. (2018). Akkaraman Kuzularında DGAT1, CAST ve IGF-I Gen Polimorfizmleri ve Sütten Kesim Yaşına Kadarki Canlı Ağırlık Artışı Üzerine Etkileri. Kafkas Universitesi Veteriner Fakultesi Dergisi. 6 indexed citations
17.
18.
Sohel, Md Mahmodul Hasan, Mehmet Ulaş Çınar, Korhan Arslan, et al.. (2016). Appropriate concentration of Hydrogen Peroxide and Sulforaphane for granulosa cells to study oxidative stress in vitro. Journal of Biotechnology. 231. S24–S24. 5 indexed citations
19.
Akyüz, Bilal, et al.. (2016). Köpeklerde von Willebrand Faktör Antijen Seviyesi ve von Willebrand Faktör Geni Arasındaki İlişkinin Belirlenmesi. Kafkas Universitesi Veteriner Fakultesi Dergisi. 1 indexed citations
20.
Bağış, Haydar, Çagatay Güneş, Sezen Arat, et al.. (2010). Expression of Biologically Active Human Interferon Gamma in the Milk of Transgenic Mice Under the Control of the Murine Whey Acidic Protein Gene Promoter. Biochemical Genetics. 49(3-4). 251–257. 10 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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