Kamila Nowosad

972 total citations
66 papers, 743 citations indexed

About

Kamila Nowosad is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Kamila Nowosad has authored 66 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 19 papers in Agronomy and Crop Science and 17 papers in Molecular Biology. Recurrent topics in Kamila Nowosad's work include Genetics and Plant Breeding (38 papers), Wheat and Barley Genetics and Pathology (19 papers) and Crop Yield and Soil Fertility (17 papers). Kamila Nowosad is often cited by papers focused on Genetics and Plant Breeding (38 papers), Wheat and Barley Genetics and Pathology (19 papers) and Crop Yield and Soil Fertility (17 papers). Kamila Nowosad collaborates with scholars based in Poland, Iran and Türkiye. Kamila Nowosad's co-authors include Jan Bocianowski, Alina Liersch, Piotr Szulc, Henryk Bujak, J. Księżak, Joanna Kobus‐Cisowska, Dariusz Piesik, Alireza Pour‐Aboughadareh, Aras Türkoğlu and Magdalena Jakubowska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Crop Science.

In The Last Decade

Kamila Nowosad

65 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamila Nowosad Poland 16 642 171 165 159 48 66 743
Miroslav Zorić Serbia 17 702 1.1× 173 1.0× 244 1.5× 79 0.5× 41 0.9× 77 803
Devinder Sandhu United States 23 1.4k 2.1× 140 0.8× 72 0.4× 418 2.6× 40 0.8× 77 1.5k
Valiollah Mohammadi Iran 14 897 1.4× 231 1.4× 316 1.9× 121 0.8× 52 1.1× 43 981
Miguel Cantamutto Argentina 18 715 1.1× 106 0.6× 89 0.5× 164 1.0× 17 0.4× 69 782
Ilona Czyczyło-Mysza Poland 15 714 1.1× 96 0.6× 129 0.8× 295 1.9× 22 0.5× 56 794
T. D. Potter Australia 14 495 0.8× 48 0.3× 134 0.8× 240 1.5× 123 2.6× 46 618
Dinesh Kumar Saini India 18 1.0k 1.6× 407 2.4× 175 1.1× 100 0.6× 26 0.5× 55 1.1k
Zhandong Cai China 20 815 1.3× 44 0.3× 104 0.6× 242 1.5× 65 1.4× 32 923
Izabela Marcińska Poland 17 928 1.4× 94 0.5× 202 1.2× 419 2.6× 87 1.8× 69 1.1k
Valentina Talamé Italy 8 908 1.4× 151 0.9× 80 0.5× 332 2.1× 16 0.3× 14 999

Countries citing papers authored by Kamila Nowosad

Since Specialization
Citations

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

Fields of papers citing papers by Kamila Nowosad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamila Nowosad

This figure shows the co-authorship network connecting the top 25 collaborators of Kamila Nowosad. A scholar is included among the top collaborators of Kamila Nowosad 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 Kamila Nowosad. Kamila Nowosad 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.
Bocianowski, Jan, et al.. (2025). Identification of SNP markers associated with yield in winter oilseed rape (Brassica napus L.) hybrids. Journal of Applied Genetics. 67(1). 17–31.
2.
Bujak, Henryk, et al.. (2024). Assessment of Resistance of Barley Varieties to Diseases in Polish Organic Field Trials. Agriculture. 14(5). 789–789. 2 indexed citations
3.
Demirel, Fatih, Aras Türkoğlu, Kamil Haliloğlu, et al.. (2024). Revealing Genetic Diversity and Population Structure in Türkiye’s Wheat Germplasm Using iPBS-Retrotransposon Markers. Agronomy. 14(2). 300–300. 9 indexed citations
4.
Demirel, Fatih, Abdurrahim YILMAZ, Aras Türkoğlu, et al.. (2023). Prediction of Grain Yield in Wheat by CHAID and MARS Algorithms Analyses. Agronomy. 13(6). 1438–1438. 15 indexed citations
5.
Pour‐Aboughadareh, Alireza, Jan Bocianowski, Lia Shooshtari, et al.. (2023). Analysis of Physio-Biochemical Responses and Expressional Profiling Antioxidant-Related Genes in Some Neglected Aegilops Species under Salinity Stress. Agronomy. 13(8). 1981–1981. 3 indexed citations
6.
Zali, Hassan, Ali Akbar Barati, Alireza Pour‐Aboughadareh, et al.. (2023). Identification of Superior Barley Genotypes Using Selection Index of Ideal Genotype (SIIG). Plants. 12(9). 1843–1843. 12 indexed citations
7.
Türkoğlu, Aras, Kamil Haliloğlu, Fatih Demirel, et al.. (2023). Investigation of the Influence of Polyamines on Mature Embryo Culture and DNA Methylation of Wheat (Triticum aestivum L.) Using the Machine Learning Algorithm Method. Plants. 12(18). 3261–3261. 15 indexed citations
8.
Bocianowski, Jan, et al.. (2023). EFFECT OF COVER CROPS AND SOIL TILLAGE METHODS FOR SOWING SPRING WHEAT (TRITICUM AESTIVUM L.) ON SELECTED SOIL PHYSICAL PROPERTIES. Applied Ecology and Environmental Research. 21(6). 5091–5105. 2 indexed citations
9.
10.
Szczepaniak, Oskar, et al.. (2021). Relationship of colour with the phytocompounds present in Cornus mas cultivars. International Journal of Food Properties. 24(1). 400–414. 7 indexed citations
11.
Kozak, Bartosz, et al.. (2021). Assessment of the Genetic Diversity of Chrysanthemum Cultivars Using SSR Markers. Agronomy. 11(11). 2318–2318. 10 indexed citations
12.
Bocianowski, Jan, et al.. (2019). Estimation of additive and epistatic gene effects for phenotypic and biochemical traits in double hyploid lines of winter rape seed ,(Brassica napus L.). Indian Journal of Genetics and Plant Breeding (The). 79(3). 2 indexed citations
13.
14.
Zawieja, Bogna, Wojciech Rybiński, Kamila Nowosad, & Jan Bocianowski. (2018). Assessment of Lathyrus species accession variability using visual and statistical methods. Pakistan Journal of Botany. 50(6). 3 indexed citations
15.
Nowosad, Kamila, et al.. (2017). Genotype by environment interaction for oil content in winter oilseed rape ( Brassica napus L.) using additive main effects and multiplicative interaction model. Indian Journal of Genetics and Plant Breeding (The). 77(2). 293–293. 28 indexed citations
16.
Nowosad, Kamila, Jan Bocianowski, & Piotr Szulc. (2017). Analysis of molecular variance and genetic similarity between selected cultivars of maize (Zea mays L.) revealed by SSR markers. Fragmenta Agronomica. 34(4). 1 indexed citations
17.
Szulc, Piotr, et al.. (2017). The dynamics of a dry matter accumulation in the initial period of growth of four varieties of the "stay-green" type of maize (Zea mays L.).. Pakistan Journal of Botany. 49(3). 1017–1022. 7 indexed citations
18.
Bocianowski, Jan, et al.. (2016). Evaluation of the breeding value of the spring oilseed rape ( Brassica napus L.) inbred lines based on a multi-trait analysis. Indian Journal of Genetics and Plant Breeding (The). 76(3). 284–284. 5 indexed citations
19.
Seidler-Łożykowska, K., et al.. (2015). Effect of organic cultivation on yield and quality of lemon balm herb (Melissa officinalis L.).. SHILAP Revista de lepidopterología. 14(5). 55–67. 6 indexed citations
20.
Bujak, Henryk, et al.. (2014). Evaluation of maize hybrids stability using parametric and non-parametric methods. Maydica. 59(2). 170–175. 6 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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