Yavuz Akbaş

878 total citations
63 papers, 717 citations indexed

About

Yavuz Akbaş is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Yavuz Akbaş has authored 63 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 30 papers in Animal Science and Zoology and 22 papers in Agronomy and Crop Science. Recurrent topics in Yavuz Akbaş's work include Genetic and phenotypic traits in livestock (30 papers), Animal Nutrition and Physiology (20 papers) and Agricultural and Rural Development Research (13 papers). Yavuz Akbaş is often cited by papers focused on Genetic and phenotypic traits in livestock (30 papers), Animal Nutrition and Physiology (20 papers) and Agricultural and Rural Development Research (13 papers). Yavuz Akbaş collaborates with scholars based in Türkiye, United Kingdom and United States. Yavuz Akbaş's co-authors include Çiğdem Takma, Ayşe Sibel Akalın, Sıddık Gönç, Özge Altan, Turğay Taşkın, Ali Altan, S. Brotherstone, S. Özkan, Ecevit Eyduran and William G. Hill and has published in prestigious journals such as Journal of Dairy Science, British Poultry Science and Journal of Animal Breeding and Genetics.

In The Last Decade

Yavuz Akbaş

55 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yavuz Akbaş Türkiye 16 408 364 217 107 88 63 717
Zafer Ulutaş Türkiye 13 359 0.9× 349 1.0× 219 1.0× 51 0.5× 59 0.7× 77 605
L.A. Mtenga Tanzania 16 236 0.6× 174 0.5× 325 1.5× 76 0.7× 80 0.9× 56 558
Evangelina Rodero Serrano Spain 15 406 1.0× 414 1.1× 259 1.2× 121 1.1× 42 0.5× 75 788
B. Rekik Belgium 15 348 0.9× 503 1.4× 363 1.7× 89 0.8× 64 0.7× 47 677
D. Zygoyiannis Greece 16 420 1.0× 287 0.8× 285 1.3× 101 0.9× 38 0.4× 34 715
C. O. N. Ikeobi Nigeria 17 538 1.3× 410 1.1× 109 0.5× 64 0.6× 108 1.2× 68 855
K.J. Hanford United States 14 315 0.8× 511 1.4× 471 2.2× 40 0.4× 140 1.6× 54 879
María Jesús Alcalde Aldea Spain 17 643 1.6× 222 0.6× 271 1.2× 205 1.9× 41 0.5× 64 940
A.P. Mavrogenis Cyprus 19 243 0.6× 534 1.5× 506 2.3× 131 1.2× 34 0.4× 43 771
Daniel Bureš Czechia 18 732 1.8× 327 0.9× 303 1.4× 128 1.2× 49 0.6× 55 1.0k

Countries citing papers authored by Yavuz Akbaş

Since Specialization
Citations

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

Fields of papers citing papers by Yavuz Akbaş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yavuz Akbaş

This figure shows the co-authorship network connecting the top 25 collaborators of Yavuz Akbaş. A scholar is included among the top collaborators of Yavuz Akbaş 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 Yavuz Akbaş. Yavuz Akbaş 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.
Akbaş, Yavuz, et al.. (2015). Siyah Alaca İle Bazı Süt Sığır Irkları Arasında Yapılan Melezlemeler ve Melez İneklerin Performansları. DergiPark (Istanbul University). 10(1). 97–106. 1 indexed citations
2.
Akbaş, Yavuz, et al.. (2014). Calving ease analysis as a threshold trait.. Ege Üniversitesi Ziraat Fakültesi Dergisi. 51(3). 237–241. 1 indexed citations
3.
Akbaş, Yavuz, et al.. (2012). Sosyal Bilgiler Öğretmen Adaylarının Bakış Açısıyla İdeal Öğretmenin Özellikleri. Educational Sciences Theory & Practice. 12. 1559–1572.
4.
Akbaş, Yavuz, et al.. (2011). Comparison of different models in genetic analysis of dystocia. Kafkas Universitesi Veteriner Fakultesi Dergisi. 17(3). 387–392. 9 indexed citations
5.
Akbaş, Yavuz, et al.. (2011). Coğrafya dersinde çoklu zekâ destekli öğretimin öğrenci başarısı ve kalıcılığa etkisi. Türk Eğitim Bilimleri Dergisi. 9(3). 467–495. 2 indexed citations
6.
Takma, Çiğdem & Yavuz Akbaş. (2009). Variance components and genetic parameter estimates using random regression models on test day milk yields of Holstein Friesians.. Kafkas Universitesi Veteriner Fakultesi Dergisi. 15(4). 547–551. 6 indexed citations
7.
Takma, Çiğdem & Yavuz Akbaş. (2009). Comparison of fitting performance of random regression models to test day milk yields in Holstein Friesians.. Kafkas Universitesi Veteriner Fakultesi Dergisi. 15(2). 261–266. 9 indexed citations
8.
Taşkın, Turğay, et al.. (2006). Menemen koyunlarında kimi verim özelliklerinin belirlenmesi üzerine bir araştırma. DergiPark (Istanbul University). 43(1). 63–74. 3 indexed citations
9.
Chang, Yu‐Ming, et al.. (2006). Bayesian inference for calving ease and stillbirth in Holsteins using a bivariate threshold sire-maternal grandsire model.. 1–26. 15 indexed citations
10.
Akbaş, Yavuz, et al.. (2004). Effect of Box-Cox Transformation on Genetic Parameter Estimation in Layers. DergiPark (Istanbul University). 9 indexed citations
11.
Akşit, Mustafa, et al.. (2003). Genetic variation of feed traits and relationships to some meat production traits in Japanese quail (Coturnix cot. iaponica). Archiv für Geflügelkunde. 67(2). 76–82. 1 indexed citations
12.
Ayhan, Vezir, et al.. (2003). The effects of dietary oil and methionine on performance and egg quality of commercial laying hens during summer season. Archiv für Geflügelkunde. 67(5). 204–207. 3 indexed citations
13.
Akbaş, Yavuz, et al.. (2003). Effects of Udder and Teat Morphology, Parity and Lactation Stage on Subclinical Mastitis in Holstein Cows. DergiPark (Istanbul University). 9 indexed citations
14.
Akbaş, Yavuz, et al.. (2003). The Level of Inbreeding and Its Effects on Milk Yield, Age at First Calving and Calf Mortality in Holstein Cattle Reared on the Agricultural Faculty Farm of Ege University. TURKISH JOURNAL OF VETERINARY AND ANIMAL SCIENCES. 27(4). 935–941. 2 indexed citations
15.
Altan, Ali, et al.. (2002). Effects of Cage Density on the Performance of Laying Hens During High Summer Temperatures. TURKISH JOURNAL OF VETERINARY AND ANIMAL SCIENCES. 26(4). 695–700. 8 indexed citations
16.
Akbaş, Yavuz, et al.. (2001). Growth of Holstein cows in high altitude of Turkey. The Indian Journal of Animal Sciences. 71(5). 3 indexed citations
18.
Altan, Özge, et al.. (2000). Effects of Different Forms and Nutrient Levels of Mixed Feeds on Broiler Performance and Carcass Characteristics in High Summer Temperatures. TURKISH JOURNAL OF VETERINARY AND ANIMAL SCIENCES. 24(3). 297–306. 2 indexed citations
19.
Akbaş, Yavuz, et al.. (1999). Comparison of Several Models to Fit the Growth Curves of Kıvırcık and Dağlıç Male Lambs. TURKISH JOURNAL OF VETERINARY AND ANIMAL SCIENCES. 23. 537–544. 37 indexed citations
20.
Akbaş, Yavuz, et al.. (1998). Growth curve parameters of lines of Japanese quail (Coturnix coturnix japonica), unselected and selected for four-week body weight. Archiv für Geflügelkunde. 62(3). 104–109. 42 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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