Małgorzata Małodobra-Mazur

715 citations
38 papers · 526 indexed · h-index 15
Topics
Adipokines, Inflammation, and Metabolic Diseases (8 papers)Epigenetics and DNA Methylation (7 papers)Adipose Tissue and Metabolism (7 papers)
Partner nations
PolandUnited StatesChina

In The Last Decade

Małgorzata Małodobra-Mazur

34 papers receiving 516 citations

Peers

Małgorzata Małodobra-Mazur
Comparison fields: 5 of 99
  • Molecular Biology 172
  • Physiology 121
  • Surgery 95
  • Endocrinology, Diabetes and Metabolism 93
  • Epidemiology 86
Replace Junguee Lee with:
Junguee Lee South Korea
Joanna Góralska Poland
Shohei Shinozaki Japan
Anna Lee United States
Yoko Murakami Japan
Sezin Dağdeviren United States
Junpei Yamamoto Japan
Zehua Li China
Freddy Contreras Venezuela
Elizabeth Oliver Sweden
Małgorzata Małodobra-Mazur relative to Junguee Lee South Korea Junguee Lee's profile →
Citations per field
00.5×1.5×
Junguee Lee · 1×
Citations per year

Countries citing papers authored by Małgorzata Małodobra-Mazur

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Małodobra-Mazur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Małodobra-Mazur

This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Małodobra-Mazur. A scholar is included among the top collaborators of Małgorzata Małodobra-Mazur 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 Małgorzata Małodobra-Mazur. Małgorzata Małodobra-Mazur 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 0
4 7
5 6
6 2
7 8
8 40
9 0
10 5
11 13
12 19
13 28
14 9
15 53
16 11
17 36
18 59
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The low temperature co-fired ceramics (LTCC) chip for polymerase chain reaction (PCR) application
9
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About Małgorzata Małodobra-Mazur

Małgorzata Małodobra-Mazur is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Internal Medicine, having authored 38 papers that have together received 526 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Epigenetics and DNA Methylation (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (93 citations), Physiology (121 citations) and Endocrine and Autonomic Systems (27 citations). Małgorzata Małodobra-Mazur has collaborated with scholars based in Poland, United States and China. Frequent co-authors include Tadeusz Dobosz, Krzysztof Kaliszewski, Agnieszka Dobrzyń, Anna Gluba-Brzózka, Jacek Rysz, Rajmund Adamiec, Maciej Banach, Niki Katsiki, Anna Jonkisz and Jerzy Rudnicki. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Gene.

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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