Wilhelm Grzesiak

1.2k total citations
72 papers, 858 citations indexed

About

Wilhelm Grzesiak is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Wilhelm Grzesiak has authored 72 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Genetics, 29 papers in Animal Science and Zoology and 25 papers in Agronomy and Crop Science. Recurrent topics in Wilhelm Grzesiak's work include Genetic and phenotypic traits in livestock (41 papers), Effects of Environmental Stressors on Livestock (24 papers) and Reproductive Physiology in Livestock (18 papers). Wilhelm Grzesiak is often cited by papers focused on Genetic and phenotypic traits in livestock (41 papers), Effects of Environmental Stressors on Livestock (24 papers) and Reproductive Physiology in Livestock (18 papers). Wilhelm Grzesiak collaborates with scholars based in Poland, Taiwan and United States. Wilhelm Grzesiak's co-authors include Daniel Zaborski, Andrzej Dybus, Iwona Szatkowska, R. Lacroix, Janusz Wójcik, Magdalena Jędrzejczak-Silicka, Ecevit Eyduran, Abdul Waheed, Monika Modrzejewska and Renata Pilarczyk and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Computers and Electronics in Agriculture.

In The Last Decade

Wilhelm Grzesiak

67 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wilhelm Grzesiak Poland 15 478 293 283 109 68 72 858
Daniel Zaborski Poland 14 300 0.6× 246 0.8× 207 0.7× 93 0.9× 37 0.5× 71 714
Alberto Sabbioni Italy 17 353 0.7× 334 1.1× 185 0.7× 151 1.4× 60 0.9× 81 843
André Furugen Cesar de Andrade Brazil 20 242 0.5× 132 0.5× 282 1.0× 51 0.5× 101 1.5× 108 1.3k
F.A. Khan India 21 346 0.7× 257 0.9× 543 1.9× 111 1.0× 40 0.6× 93 1.2k
S. A. McCoard New Zealand 19 375 0.8× 146 0.5× 338 1.2× 83 0.8× 27 0.4× 65 927
James E. Koltes United States 22 511 1.1× 307 1.0× 177 0.6× 84 0.8× 64 0.9× 85 1.1k
José Antônio Visintin Brazil 19 334 0.7× 141 0.5× 295 1.0× 26 0.2× 63 0.9× 89 1.2k
Hen Honig Israel 16 248 0.5× 205 0.7× 371 1.3× 116 1.1× 43 0.6× 32 870
Benny E Mote United States 13 243 0.5× 267 0.9× 99 0.3× 279 2.6× 51 0.8× 47 609
Miriam Piles Spain 21 382 0.8× 854 2.9× 312 1.1× 140 1.3× 247 3.6× 88 1.3k

Countries citing papers authored by Wilhelm Grzesiak

Since Specialization
Citations

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

Fields of papers citing papers by Wilhelm Grzesiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilhelm Grzesiak

This figure shows the co-authorship network connecting the top 25 collaborators of Wilhelm Grzesiak. A scholar is included among the top collaborators of Wilhelm Grzesiak 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 Wilhelm Grzesiak. Wilhelm Grzesiak 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.
Grzesiak, Wilhelm, Daniel Zaborski, Renata Pilarczyk, Jerzy Wójcik, & Krzysztof Adamczyk. (2023). Classification of Daily Body Weight Gains in Beef Calves Using Decision Trees, Artificial Neural Networks, and Logistic Regression. Animals. 13(12). 1956–1956. 3 indexed citations
2.
Zaborski, Daniel, et al.. (2022). An analysis of the annual mobility of Polish Konik horses depending on habitat, season, and time of the day. Archives animal breeding/Archiv für Tierzucht. 65(3). 239–247.
3.
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5.
Zaborski, Daniel, et al.. (2018). The use of data mining methods for dystocia detection in Polish Holstein-Friesian Black-and-White cattle. Asian-Australasian Journal of Animal Sciences. 31(11). 1700–1713. 7 indexed citations
6.
Zaborski, Daniel, et al.. (2017). Use of random forest for dystocia detection in dairy cattle. OpenAgrar. 67. 147–154. 2 indexed citations
7.
8.
Panicz, Remigiusz, et al.. (2014). A NOVEL POLYMORPHISM WITHIN INTRON B OF GROWTH HORMONE GENE (GH2) OF THE RAINBOW TROUT, ONCORHYNCHUS MYKISS. Polish Journal of Natural Science. 29(2). 2 indexed citations
9.
Grzesiak, Wilhelm, et al.. (2013). The influence of fatty acid synthase polymorphism on milk production traits in Polish Holstein-Friesian cattle.. The Journal of Animal and Plant Sciences. 23(2). 376–379. 14 indexed citations
10.
Dybus, Andrzej, et al.. (2013). Genetic background of aggressive behaviour in dogs. Acta Veterinaria Brno. 82(4). 441–445. 3 indexed citations
11.
Grzesiak, Wilhelm, et al.. (2013). Physical Attractiveness and Self-Assessment Before and After Breast Augmentation. Annals of Plastic Surgery. 72(6). 618–624. 5 indexed citations
12.
Grzesiak, Wilhelm, Daniel Zaborski, Piotr Sablik, & Renata Pilarczyk. (2011). Detection of difficult conceptions in dairy cows using selected data mining methods. Animal Science Papers and Reports. 29(4). 293–302. 12 indexed citations
13.
Zaborski, Daniel & Wilhelm Grzesiak. (2011). Detection of heifers with dystocia using artificial neural networks with regard to ERalpha-BGLI, ERalpha-SNABI and CYP19-PVUII genotypes. 10(2). 2 indexed citations
14.
Szatkowska, Iwona, et al.. (2011). An analysis of CYP19, CYP21 and ER genotypes in Polish Holstein-Friesian cows with regard to the selected reproductive traits. Acta Veterinaria Brno. 80(1). 65–71. 9 indexed citations
15.
Modrzejewska, Monika, Wilhelm Grzesiak, Danuta Karczewicz, & Daniel Zaborski. (2010). Refractive status and ocular axial length in preterm infants without retinopathy of prematurity with regard to birth weight and gestational age. Journal of Perinatal Medicine. 38(3). 327–31. 18 indexed citations
16.
Modrzejewska, Monika, et al.. (2008). Predictive value of color Doppler imaging in an evaluation of retrobulbar blood flow perturbation in young type-1 diabetic patients with regard to dyslipidemia.. PubMed. 14(10). MT47–52. 11 indexed citations
17.
Dybus, Andrzej, et al.. (2006). Polymorphism within theLDHA gene in the homing and non-homing pigeons. Journal of Applied Genetics. 47(1). 63–66. 17 indexed citations
18.
Grzesiak, Wilhelm, et al.. (2003). Prediction of 305-day first lactation milk yield in cows with selected regression models. Archives animal breeding/Archiv für Tierzucht. 46(3). 213–224. 10 indexed citations
19.
Grzesiak, Wilhelm, et al.. (2000). Long-term changes in haemoglobin concentration, haematocrit level, and selected electrophoretic fractions in the serum of Suffolk sheep.. Folia veterinaria. 44(2). 94–98. 1 indexed citations
20.
Grzesiak, Wilhelm, et al.. (1998). Genetic conditioning of body conformation traits in cold-blooded horses. 36. 17–22. 3 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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