Kemal Karabağ

558 total citations
57 papers, 415 citations indexed

About

Kemal Karabağ is a scholar working on Animal Science and Zoology, Genetics and Insect Science. According to data from OpenAlex, Kemal Karabağ has authored 57 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Animal Science and Zoology, 29 papers in Genetics and 13 papers in Insect Science. Recurrent topics in Kemal Karabağ's work include Animal Nutrition and Physiology (29 papers), Genetic and phenotypic traits in livestock (18 papers) and Livestock and Poultry Management (15 papers). Kemal Karabağ is often cited by papers focused on Animal Nutrition and Physiology (29 papers), Genetic and phenotypic traits in livestock (18 papers) and Livestock and Poultry Management (15 papers). Kemal Karabağ collaborates with scholars based in Türkiye, China and United States. Kemal Karabağ's co-authors include Sezai Alkan, Murat Soner Balcıoğlu, Taki Karslı, Halil Yolcu, Kadir Kızılkaya, Mehmet Mendeş, Uğur Bilge, Doğan Narinç, Emre Karaman and Tülin Aksoy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Apidologie.

In The Last Decade

Kemal Karabağ

46 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kemal Karabağ Türkiye 13 310 178 67 41 41 57 415
Muammer Tilki Türkiye 12 340 1.1× 115 0.6× 58 0.9× 19 0.5× 34 0.8× 50 423
Sezai Alkan Türkiye 12 296 1.0× 123 0.7× 52 0.8× 17 0.4× 22 0.5× 61 381
Sandra Mari Yamamoto Brazil 13 310 1.0× 115 0.6× 47 0.7× 14 0.3× 28 0.7× 45 477
María Esperanza Camacho Vallejo Spain 16 305 1.0× 294 1.7× 36 0.5× 30 0.7× 41 1.0× 77 576
Daniel Montanher Polizel Brazil 12 180 0.6× 209 1.2× 58 0.9× 33 0.8× 11 0.3× 86 509
I.A. Adeyinka Nigeria 10 270 0.9× 190 1.1× 83 1.2× 28 0.7× 32 0.8× 62 445
C. Rizzi Italy 12 442 1.4× 86 0.5× 68 1.0× 14 0.3× 58 1.4× 34 495
Luiz Juliano Valério Geron Brazil 11 183 0.6× 82 0.5× 74 1.1× 16 0.4× 20 0.5× 70 411
Zafer Ulutaş Türkiye 13 359 1.2× 349 2.0× 59 0.9× 17 0.4× 19 0.5× 77 605
Leopoldo Andrade de Figueiredo Brazil 11 177 0.6× 292 1.6× 78 1.2× 27 0.7× 18 0.4× 43 393

Countries citing papers authored by Kemal Karabağ

Since Specialization
Citations

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

Fields of papers citing papers by Kemal Karabağ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kemal Karabağ

This figure shows the co-authorship network connecting the top 25 collaborators of Kemal Karabağ. A scholar is included among the top collaborators of Kemal Karabağ 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 Kemal Karabağ. Kemal Karabağ 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.
Karabağ, Kemal, et al.. (2025). Microsatellite-based genetic characterisation of honeybee populations from Bingöl. Mediterranean Agricultural Sciences. 38(1). 29–34.
2.
Karabağ, Kemal, et al.. (2025). Prediction of Beef Production Using Linear Regression, Random Forest and k-Nearest Neighbors Algorithms. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi. 28(1). 247–255. 1 indexed citations
3.
Karabağ, Kemal, et al.. (2024). Developing a machine learning prediction model for honey production. Mediterranean Agricultural Sciences. 37(2). 105–110. 3 indexed citations
4.
Karabağ, Kemal, et al.. (2024). Diagnosis of Avian Leukosis Virus subgroup J in asymptomatic commercial layers using qPCR. Genetika. 56(1). 55–62.
5.
Karabağ, Kemal, et al.. (2022). EFFECTS OF SELECTION IN TERMS OF MEAT YIELD TRAITS ON LEPTIN RECEPTOR GENE IN JAPANESE QUAIL LINES. Slovenian Veterinary Research. 59(2). 1 indexed citations
6.
Karabağ, Kemal, et al.. (2021). MICROSCOPIC AND MOLECULAR DETECTION OF NOSEMA SP. IN THE SOUTHWEST AEGEAN REGION. Uludağ Arıcılık Dergisi. 21(1). 8–20. 7 indexed citations
7.
Karslı, Taki, et al.. (2020). Polymorphisms in candidate genes associated with egg yield and quality in brown layer pure lines. Mediterranean Agricultural Sciences. 33(3). 433–439.
8.
Karabağ, Kemal, et al.. (2019). Comparison of Some Carcass Components of Selected Japanese Quail Lines in terms of SNP Haplotypes. SHILAP Revista de lepidopterología. 7. 68–71. 1 indexed citations
9.
Alkan, Sezai, et al.. (2013). The effects of selection and season on clutch traits and egg production in Japanese quails (Coturnix coturnix japonica) of different lines.. 8(1). 71–77. 5 indexed citations
10.
Alkan, Sezai, et al.. (2012). Effects of thermal manipulations during early and late embryogenesis on growth characteristics in Japanese quails (Coturnix cot. japonica). Archiv für Geflügelkunde. 76(3). 184–190. 7 indexed citations
11.
Karabağ, Kemal, Sezai Alkan, & Murat Soner Balcıoğlu. (2010). The differences in some production and clutch traits in divergently selected Japanese quails. Kafkas Universitesi Veteriner Fakultesi Dergisi. 16(3). 383–387. 12 indexed citations
12.
Alkan, Sezai, et al.. (2010). Effects of selection for body weight and egg production on egg quality traits in Japanese quails (Coturnix coturnix japonica) of different lines and relationships between these traits.. Kafkas Universitesi Veteriner Fakultesi Dergisi. 16(2). 239–244. 39 indexed citations
13.
Narinç, Doğan, Tülin Aksoy, Emre Karaman, & Kemal Karabağ. (2009). Japon Bıldırcınlarında Yüksek Canlı Ağırlık Yönünde Uygulanan Seleksiyonun Büyüme Parametreleri Üzerine Etkisi. Mediterranean Agricultural Sciences. 22(2). 149–156.
14.
Alkan, Sezai, et al.. (2008). The Effects of Male and Female Ratio on Hatchability Traits of Partridges (A. chukar). DergiPark (Istanbul University). 1 indexed citations
15.
Alkan, Sezai, et al.. (2008). Effects of genotype and egg weight on hatchability traits and hatching weight in Japanese quail. South African Journal of Animal Science. 38(3). 231–237. 22 indexed citations
16.
Alkan, Sezai, et al.. (2007). Kınalı kekliklerde (Alectoris chukar) bazı yumurta özelliklerinin ve canlı ağırlıkların belirlenmesi. Mediterranean Agricultural Sciences. 20(2). 225–228. 1 indexed citations
17.
Kızılkaya, Kadir, et al.. (2006). Growth curve analysis using nonlinear mixed model in divergently selected Japanese quails. Archiv für Geflügelkunde. 70(4). 181–186. 9 indexed citations
18.
Balcıoğlu, Murat Soner, Kadir Kızılkaya, Halil Yolcu, & Kemal Karabağ. (2005). Analysis of growth characteristics in short-term divergently selected Japanese quail. South African Journal of Animal Science. 35(2). 83–89. 23 indexed citations
19.
Balcıoğlu, Murat Soner, et al.. (2005). Japon bıldırcınlarında canlı ağırlık ve canlı ağırlık artışına ait genetik parametre tahminleri. DergiPark (Istanbul University). 18(1). 35–39. 1 indexed citations
20.
Yolcu, Halil, Murat Soner Balcıoğlu, Mehmet Ziya Fırat, & Kemal Karabağ. (2004). Beyaz Yeni Zelanda Tavşanlarında Canlı Ağırlıklara Ait Varyans Unsurlarının Farklı Yöntemlerle Tahmini. Mediterranean Agricultural Sciences. 17(1). 81–85. 1 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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