Magdalena Markowicz-Piasecka

2.2k citations
68 papers · 1.7k indexed · h-index 22

Magdalena Markowicz-Piasecka

65 papers receiving 1.7k citations

Peers

Magdalena Markowicz-Piasecka
Comparison fields: 5 of 138
  • Molecular Biology 697
  • Endocrinology, Diabetes and Metabolism 232
  • Organic Chemistry 216
  • Pharmacology 187
  • Oncology 187
Replace Punniyakoti T. Veeraveedu with:
Punniyakoti T. Veeraveedu Japan
Concettina La Motta Italy
Elżbieta Mikiciuk‐Olasik Poland
Langchong He China
Jingjing Wu China
Minghai Tang China
Chiung‐Tong Chen Taiwan
Francesco Bellia Italy
Magdalena Markowicz-Piasecka relative to Punniyakoti T. Veeraveedu Japan Punniyakoti T. Veeraveedu's profile →
Citations per field
00.5×1.5×
Punniyakoti T. Veeraveedu · 1×
Citations per year

Countries citing papers authored by Magdalena Markowicz-Piasecka

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Markowicz-Piasecka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magdalena Markowicz-Piasecka. 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 Magdalena Markowicz-Piasecka. The network helps show where Magdalena Markowicz-Piasecka may publish in the future.

Co-authorship network of co-authors of Magdalena Markowicz-Piasecka

This figure shows the co-authorship network connecting the top 25 collaborators of Magdalena Markowicz-Piasecka. A scholar is included among the top collaborators of Magdalena Markowicz-Piasecka 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 Magdalena Markowicz-Piasecka. Magdalena Markowicz-Piasecka 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
#WorkIndexed citations
1 0
2 1
3 1
4 2
5 6
6 13
7 12
8 39
9 23
10 9
11 16
12 26
13 10
14 22
15 9
16 19
17 23
18
Zastosowanie nanotechnologii w medycynie i farmacji
3
19 36
20 60

About Magdalena Markowicz-Piasecka

Magdalena Markowicz-Piasecka is a scholar working on Biochemistry, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (15 papers), Diabetes Treatment and Management (12 papers) and Cholinesterase and Neurodegenerative Diseases (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (232 citations), Computational Theory and Mathematics (180 citations) and Pharmacology (187 citations). Magdalena Markowicz-Piasecka has collaborated with scholars based in Poland, Finland and Czechia. Frequent co-authors include Elżbieta Mikiciuk‐Olasik, Joanna Sikora, Paweł Szymański, Kristiina M. Huttunen, Aleksandra Szydłowska, Marlena Broncel, Johanna Huttunen, Maciej Chałubiński, Barbara Płytycz and Jerzy Kruk. Their work appears in journals such as Scientific Reports, Chemosphere and International Journal of Molecular 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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