Małgorzata Szafarz

614 citations
43 papers · 456 indexed · h-index 13

Małgorzata Szafarz

41 papers receiving 453 citations

Peers

Małgorzata Szafarz
Comparison fields: 5 of 80
  • Geriatrics and Gerontology 37
  • Physiology 41
  • Biological Psychiatry 20
  • Cellular and Molecular Neuroscience 96
  • Biochemistry 38
Replace Filomena Lauro with:
Filomena Lauro Italy
Ayfer Yalçın Türkiye
Caner Günaydın Türkiye
Ezgi Turunç Türkiye
Le-Peng Hong China
Xiaobing Lan China
Kai-Jung Lin Taiwan
Dalia M. El-Tanbouly Egypt
Suman Mukherjee United States
S. Sırrı Bilge Türkiye
Małgorzata Szafarz relative to Filomena Lauro Italy Filomena Lauro's profile →
Citations per field
00.5×2.9×
Filomena Lauro · 1×
Citations per year

Countries citing papers authored by Małgorzata Szafarz

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Szafarz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Małgorzata Szafarz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Małgorzata Szafarz Line = papers co-authored together Małgorzata Szafarz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 20237
4 20231
5 20231
6 20222
7 20213
8 20218
9 20216
10 20217
11 202129
12 202021
13 202012
14 20198
15 201914
16 201819
17 20176
18
Validation of LC/MS/MS method for assessment of the in vitro activity of the selected rat cytochrome P450 isoenzymes - application to early drug metabolism screening
20151
19 201520
20 201024

About Małgorzata Szafarz

Małgorzata Szafarz is a scholar working on Endocrine and Autonomic Systems, Physiology and Biological Psychiatry, having authored 43 papers that have together received 456 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Mast cells and histamine (7 papers), Neuropeptides and Animal Physiology (5 papers), Analytical Chemistry and Chromatography (4 papers), Regulation of Appetite and Obesity (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (37 citations), Physiology (41 citations) and Biological Psychiatry (20 citations). Małgorzata Szafarz has collaborated with scholars based in Poland, Italy and Germany. Frequent co-authors include Joanna Szymura‐Oleksiak, Elżbieta Wyska, Piotr Właź, Stefan Chłopicki, Katarzyna Kieć‐Kononowicz, Magdalena Sternak, Dorota Nieoczym, Katarzyna Socała, Magdalena Kotańska and Marek Bednarski. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Cellular and Molecular Life Sciences.

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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