Z. T. Dąbrowski

946 total citations
94 papers, 738 citations indexed

About

Z. T. Dąbrowski is a scholar working on Plant Science, Insect Science and Molecular Biology. According to data from OpenAlex, Z. T. Dąbrowski has authored 94 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 21 papers in Insect Science and 17 papers in Molecular Biology. Recurrent topics in Z. T. Dąbrowski's work include Agriculture, Plant Science, Crop Management (22 papers), Insect-Plant Interactions and Control (17 papers) and Insect Resistance and Genetics (15 papers). Z. T. Dąbrowski is often cited by papers focused on Agriculture, Plant Science, Crop Management (22 papers), Insect-Plant Interactions and Control (17 papers) and Insect Resistance and Genetics (15 papers). Z. T. Dąbrowski collaborates with scholars based in Poland, Nigeria and Kenya. Z. T. Dąbrowski's co-authors include Anna Wiśniewska, Urszula Domańska, J. G. Rodríguez, H. F. van Emden, Jacek Cybulski, Aneta Łukomska, G. Thottappilly, Jerzy T. Wróbel, Y. Efron and H. W. Rossel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Chemistry Chemical Physics and Phytochemistry.

In The Last Decade

Z. T. Dąbrowski

85 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Z. T. Dąbrowski Poland 16 419 255 118 116 66 94 738
Alessandro Passera Italy 20 522 1.2× 110 0.4× 26 0.2× 197 1.7× 279 4.2× 58 1.1k
Ziquan Yu China 19 309 0.7× 360 1.4× 52 0.4× 450 3.9× 35 0.5× 58 925
Koji Yano Japan 20 1.3k 3.0× 22 0.1× 19 0.2× 210 1.8× 59 0.9× 53 1.7k
Shuguang Zhang China 15 346 0.8× 187 0.7× 22 0.2× 196 1.7× 333 5.0× 32 863
Chee How Teo Malaysia 22 793 1.9× 28 0.1× 15 0.1× 523 4.5× 39 0.6× 67 1.6k
Guoxing Wu China 16 267 0.6× 197 0.8× 7 0.1× 211 1.8× 50 0.8× 74 887
Weiming Tan China 19 543 1.3× 31 0.1× 6 0.1× 193 1.7× 62 0.9× 58 886
Marília Almeida-Trapp Germany 18 616 1.5× 105 0.4× 5 0.0× 339 2.9× 38 0.6× 32 901
Ning Sun China 18 500 1.2× 14 0.1× 235 2.0× 764 6.6× 127 1.9× 35 1.4k
D. L. Hallahan United Kingdom 17 273 0.7× 81 0.3× 9 0.1× 328 2.8× 14 0.2× 32 707

Countries citing papers authored by Z. T. Dąbrowski

Since Specialization
Citations

This map shows the geographic impact of Z. T. Dąbrowski'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 Z. T. Dąbrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. T. Dąbrowski more than expected).

Fields of papers citing papers by Z. T. Dąbrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Z. T. Dąbrowski. 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 Z. T. Dąbrowski. The network helps show where Z. T. Dąbrowski may publish in the future.

Co-authorship network of co-authors of Z. T. Dąbrowski

This figure shows the co-authorship network connecting the top 25 collaborators of Z. T. Dąbrowski. A scholar is included among the top collaborators of Z. T. Dąbrowski 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 Z. T. Dąbrowski. Z. T. Dąbrowski 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.
Dąbrowski, Z. T. & Aleksander B. Skotnicki. (2018). [The history of discovery of the meaning of erythrocyte sedimentation rate (ESR) in the human pathology (in the 150th birth anniversary of the Polish phisician and scientist, Edmund Biernacki)].. PubMed. 73(5). 343–8.
2.
Domańska, Urszula, et al.. (2018). Evaluation and correlation of separation heptane/ethanol with ionic liquids. Ternary liquid-liquid phase equilibrium data. Journal of Molecular Liquids. 255. 504–512. 10 indexed citations
3.
Grabowski, Marcin, et al.. (2014). Transfer of the Cry1Ab toxin in tritrophic bioassays involving transgenic maize MON810, the herbivore Tetranychus urticae Koch and the predatory ladybird beetle Adalia bipunctata L. (Coleoptera: Coccinelidae).. Egyptian Journal of Biological Pest Control. 24(1). 11–16. 1 indexed citations
4.
Dąbrowski, Z. T., et al.. (2013). Enhancing biodiversity of agrocenosis by planting selected flowering plant species. Progress in Plant Protection. 53(4). 1 indexed citations
5.
Bereś, P.K., Z. T. Dąbrowski, & S. Sowa. (2013). Comparison of some aspects of the bionomy of Ostrinia nubilalis Hbn. (Lep., Crambidae) on Bt and non-Bt maize in south-eastern Poland. Journal of Central European Agriculture. 14(2). 194–212.
6.
Grabowski, Michał, P.K. Bereś, & Z. T. Dąbrowski. (2010). Characteristic of selected carabid species (Coleoptera: Carabidae) and their suitability for era and monitoring of GMO release to the environment.. Progress in Plant Protection. 50(4). 1602–1606. 2 indexed citations
7.
Grabowski, Marcin, P.K. Bereś, & Z. T. Dąbrowski. (2010). Charakterystyka wybranych gatunków biegaczowatych (Coleoptera: Carabidae) pod kątem ich przydatności dla oceny ryzyka i monitoringu uwalniania GMO do środowiska. Progress in Plant Protection. 50(4). 1 indexed citations
9.
Dąbrowski, Z. T., et al.. (2009). The importance of field surrounding flora in protection of vegetable crops against pests.. Progress in Plant Protection. 49(3). 1066–1073. 1 indexed citations
10.
Boczek, J., et al.. (2009). Chwasty w agrocenozach a ochrona roślin uprawnych przed szkodnikami. Postępy Nauk Rolniczych. 61(61). 2 indexed citations
11.
Dąbrowski, Z. T., et al.. (2008). Praktyczna ocena metod i technik stosowanych w monitoringu rolnicy zbozowki [Agrotis segetum]. Progress in Plant Protection. 48(3). 836–840. 3 indexed citations
12.
Dąbrowski, Z. T.. (2008). Genetycznie modyfikowane organizmy. Wieś Jutra.
13.
Dąbrowski, Z. T., et al.. (2008). Znaczenie infrastruktury ekologicznej w integrowanej produkcji. Progress in Plant Protection. 48(3). 761–770. 2 indexed citations
14.
Dąbrowski, Z. T., et al.. (2006). Metodyka oceny ryzyka uprawy odmian zmodyfikowanych genetycznie odpornych na szkodniki. Progress in Plant Protection. 46(1). 180–188. 4 indexed citations
15.
Gdula‐Argasińska, Joanna, et al.. (2005). Heavy metal content and histopathology of the tissues of the yellow-necked mice(Apodemus flavicollis) and bank voles (Clethrionomys glareolus) as an exposure indicato of environmental pollution in Małopolska province. Chemia i Inżynieria Ekologiczna. 12. 1213–1220. 3 indexed citations
16.
Dąbrowski, Z. T.. (2001). Wskazniki i kryteria oceny programow integrowanej ochrony roslin. Progress in Plant Protection. 41(1). 77–87. 1 indexed citations
17.
Olszak, R.W., et al.. (2000). Rozwoj koncepcji i strategii wykorzystania metod oraz srodkow ochrony roslin. Progress in Plant Protection. 40(1). 40–50. 9 indexed citations
18.
Dąbrowski, Z. T.. (2000). Od nauki do praktyki integrowanej ochrony roslin. 44(8). 3–5. 1 indexed citations
19.
Dąbrowski, Z. T.. (1999). Znaczenie partnerskich powiazan przy opracowywaniu i wdrazaniu integrowanych programow ochrony roslin. Progress in Plant Protection. 39(1). 190–201. 2 indexed citations
20.
Dąbrowski, Z. T.. (1970). Factors determining the increase in the numbers of predacious mites (Acariña, Phytoseiidae) in apple orchards sprayed with pesticides. Part I.. Polskie Pismo Entomologiczne. 40(1). 141–189. 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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