Krystyna Makowska

668 total citations
53 papers, 534 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 534 indexed citations (citations by other indexed papers that have themselves been cited), including 26 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 (25 papers), Neuropeptides and Animal Physiology (13 papers) and Gastrointestinal motility and disorders (6 papers). Krystyna Makowska is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (25 papers), Neuropeptides and Animal Physiology (13 papers) and Gastrointestinal motility and disorders (6 papers). Krystyna Makowska collaborates with scholars based in Poland, Greece and Spain. Krystyna Makowska's co-authors include Sławomir Gonkowski, Jarosław Całka, Kazimierz Obremski, Łukasz Zielonka, Katarzyna Palus, Joanna Wojtkiewicz, Magdalena Gajęcka, Liliana Rytel, Andrzej Rychlik and Michał Dąbrowski 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 527 citations

Peers

Krystyna Makowska
Comparison fields: 5 of 78
  • Health, Toxicology and Mutagenesis 234
  • Cellular and Molecular Neuroscience 119
  • Gastroenterology 86
  • Plant Science 73
  • Pollution 63
Replace Liliana Rytel with:
Liliana Rytel Poland
Katarzyna Palus Poland
Débora Dreher Nabinger Brazil
Jiayao Fan China
Yujing Su China
C. S. Venugopalan United States
Karin Dreisig Denmark
Chang Lw China
Qingfeng Zhai China
Vesna Koko Serbia
Liliana Rytel Poland View profile →
Citations per field, relative to Krystyna Makowska
Krystyna Makowska · 1×
Citations per year, relative to Krystyna Makowska
Krystyna Makowska · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 3
5 1
6 2
7 8
8 9
9 17
10 11
11 16
12 4
13 1
14 6
15 27
16 16
17 35
18 13
19 36
20 13

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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