Małgorzata Sekuła

860 citations
20 papers · 370 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Mesenchymal stem cell research
    • Estrogen and related hormone effects

Papers in

    • Insect and Arachnid Ecology and Behavior 5
    • Mesenchymal stem cell research 3
    • Estrogen and related hormone effects 3
    • Mitochondrial Function and Pathology 3

Małgorzata Sekuła

19 papers receiving 363 citations

Peers

Małgorzata Sekuła
Comparison fields: 5 of 73
  • Cancer Research 98
  • Genetics 53
  • Reproductive Medicine 27
  • Molecular Biology 213
  • Biomaterials 33
Replace Satoko Matsuyama with:
Satoko Matsuyama Japan
Yoko Tokuyama Japan
Hirotsugu Yanai Japan
Masayo Sakaki‐Yumoto Japan
Raed Abu Dawud Saudi Arabia
Lincoln T. Shenje United States
Daniel Horbelt Germany
Sapna Vijayakumar United States
Shawna Tan Singapore
J Meneses United States
Małgorzata Sekuła relative to Satoko Matsuyama Japan Satoko Matsuyama's profile →
Citations per field
00.5×4.1×
Satoko Matsuyama · 1×
Citations per year

Countries citing papers authored by Małgorzata Sekuła

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Sekuła

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Małgorzata Sekuła, 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 Sekuła Line = papers co-authored together Małgorzata Sekuła links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201580
2 201656
3 201835
4 201030
5 201328
6 201524
7 201821
8 201715
9 202015
10 201514
11 201211
12 20149
13 20187
14 20246
15 20145
16 20224
17 20204
18 20194
19 20192
20 20250

About Małgorzata Sekuła

Małgorzata Sekuła is a scholar working on Genetics, Molecular Biology, Surgery, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Mesenchymal stem cell research (3 papers), Fossil Insects in Amber (3 papers), Estrogen and related hormone effects (3 papers), Mitochondrial Function and Pathology (3 papers), Physiological and biochemical adaptations (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Cancer Research (98 citations), Genetics (53 citations), Reproductive Medicine (27 citations), Molecular Biology (213 citations) and Biomaterials (33 citations). Małgorzata Sekuła has collaborated with scholars based in Poland and United States. Frequent co-authors include Wacław Tworzydlo, Zbigniew Madeja, Ewa Zuba‐Surma, Sylwia Kędracka–Krok, Marcin Majka, Katarzyna Miękus, Dariusz Boruczkowski, Sylwia Bobis‐Wozowicz, Szczepan M. Biliński and Jacek Kołcz. Their work appears in journals such as Journal of Morphology, Stem Cells, Zoology, Materials Science and Engineering C and Oncology Reports.

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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