Kacper Żukowski

77 total papers · 1.0k total citations
54 papers, 650 citations indexed

About

Kacper Żukowski is a scholar working on Genetics, Animal Science and Zoology and Cancer Research. According to data from OpenAlex, Kacper Żukowski has authored 54 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Genetics, 15 papers in Animal Science and Zoology and 14 papers in Cancer Research. Recurrent topics in Kacper Żukowski's work include Genetic and phenotypic traits in livestock (32 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and Cancer-related molecular mechanisms research (12 papers). Kacper Żukowski is often cited by papers focused on Genetic and phenotypic traits in livestock (32 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and Cancer-related molecular mechanisms research (12 papers). Kacper Żukowski collaborates with scholars based in Poland, United Kingdom and United States. Kacper Żukowski's co-authors include Katarzyna Ropka‐Molik, Katarzyna Piórkowska, Artur Gurgul, M. Tyra, Maria Oczkowicz, Monika Bugno‐Poniewierska, Tomasz Szmatoła, R. Eckert, Igor Jasielczuk and Katarzyna Połtowicz and has published in prestigious journals such as International Journal of Molecular Sciences, Infection and Immunity and Gene.

In The Last Decade

Kacper Żukowski

52 papers receiving 637 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kacper Żukowski	403	239	164	153	56	54	650
Tainã Figueiredo Cardoso	436 1.1×	162 0.7×	177 1.1×	103 0.7×	63 1.1×	56	793
Ruimin Qiao	424 1.1×	245 1.0×	254 1.5×	124 0.8×	41 0.7×	55	685
Youji Ma	321 0.8×	245 1.0×	212 1.3×	57 0.4×	44 0.8×	47	580
Zongjun Yin	280 0.7×	272 1.1×	274 1.7×	86 0.6×	32 0.6×	79	664
Wentao Cai	331 0.8×	250 1.0×	193 1.2×	83 0.5×	38 0.7×	59	645
Shouzhi Wang	321 0.8×	225 0.9×	116 0.7×	192 1.3×	58 1.0×	39	612
Zengkui Lu	430 1.1×	245 1.0×	253 1.5×	135 0.9×	50 0.9×	65	727
Xiujin Li	221 0.5×	236 1.0×	135 0.8×	124 0.8×	16 0.3×	49	623
Tatsuo Fujita	358 0.9×	233 1.0×	125 0.8×	65 0.4×	35 0.6×	25	593
Hyun‐Tae Lim	360 0.9×	161 0.7×	105 0.6×	298 1.9×	40 0.7×	62	632

Countries citing papers authored by Kacper Żukowski

Since Specialization

Citations

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

Fields of papers citing papers by Kacper Żukowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kacper Żukowski

This figure shows the co-authorship network connecting the top 25 collaborators of Kacper Żukowski. A scholar is included among the top collaborators of Kacper Żukowski 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 Kacper Żukowski. Kacper Żukowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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