Krystyna Makowska

97 total papers · 657 total citations
53 papers, 531 citations indexed

About

Krystyna Makowska is a scholar working on Health, Toxicology and Mutagenesis, Cellular and Molecular Neuroscience and Gastroenterology. According to data from OpenAlex, Krystyna Makowska has authored 53 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Health, Toxicology and Mutagenesis, 13 papers in Cellular and Molecular Neuroscience and 8 papers in Gastroenterology. Recurrent topics in Krystyna Makowska's work include Effects and risks of endocrine disrupting chemicals (24 papers), Neuropeptides and Animal Physiology (13 papers) and Toxic Organic Pollutants Impact (6 papers). Krystyna Makowska is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (24 papers), Neuropeptides and Animal Physiology (13 papers) and Toxic Organic Pollutants Impact (6 papers). Krystyna Makowska collaborates with scholars based in Poland, Spain and Greece. Krystyna Makowska's co-authors include Sławomir Gonkowski, Jarosław Całka, Kazimierz Obremski, Łukasz Zielonka, Katarzyna Palus, Joanna Wojtkiewicz, Magdalena Gajęcka, Liliana Rytel, Michał Dąbrowski and Manolis Tzatzarakis and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Environmental Pollution.

In The Last Decade

Krystyna Makowska

48 papers receiving 524 citations

Author Peers

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

Author						Papers	Cites
Krystyna Makowska	230	119	86	73	63	53	531
I. Benedeczky	111 0.5×	143 1.2×	21 0.2×	34 0.5×	27 0.4×	59	569
Martin F. Tansy	85 0.4×	95 0.8×	105 1.2×	19 0.3×	17 0.3×	56	609
L. P. Jager	60 0.3×	141 1.2×	95 1.1×	11 0.2×	48 0.8×	38	598
Wenlin Zhang	48 0.2×	48 0.4×	41 0.5×	15 0.2×	45 0.7×	34	489
Ioana-Miruna Balmuș	35 0.2×	24 0.2×	47 0.5×	30 0.4×	52 0.8×	49	557
Seong Soon Kim	116 0.5×	46 0.4×	7 0.1×	26 0.4×	121 1.9×	49	563
Xu Huang	40 0.2×	22 0.2×	83 1.0×	39 0.5×	12 0.2×	40	477
Mahmoud Mansour	77 0.3×	40 0.3×	13 0.2×	23 0.3×	7 0.1×	39	562
Gunjan D. Manocha	42 0.2×	78 0.7×	23 0.3×	17 0.2×	16 0.3×	23	538
Sneha Sagarkar	83 0.4×	72 0.6×	7 0.1×	54 0.7×	188 3.0×	31	593

Countries citing papers authored by Krystyna Makowska

Since Specialization

Citations

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

Fields of papers citing papers by Krystyna Makowska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krystyna Makowska

This figure shows the co-authorship network connecting the top 25 collaborators of Krystyna Makowska. A scholar is included among the top collaborators of Krystyna Makowska 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 Krystyna Makowska. Krystyna Makowska 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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