Nina Mikirova

34 papers receiving 540 citations

Peers

Nina Mikirova
Comparison fields: 5 of 107
  • Nutrition and Dietetics 280
  • Molecular Biology 173
  • Pathology and Forensic Medicine 126
  • Physiology 57
  • Cancer Research 49
Replace W. Zimowska with:
W. Zimowska Poland
Karolina Boguszewska Poland
Vladana Domazetovic Italy
Alessandra Mingione Italy
Ying Tang China
Zohreh Ghoreishi Iran
Ningning Wang China
Sezgin Sarban Türkiye
Uğur Erdem Işıkan Türkiye
Jingyi Zhang China
Nina Mikirova relative to W. Zimowska Poland W. Zimowska's profile →
Citations per field
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W. Zimowska · 1×
Citations per year

Countries citing papers authored by Nina Mikirova

Since Specialization
Citations

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

Fields of papers citing papers by Nina Mikirova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Mikirova

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Mikirova. A scholar is included among the top collaborators of Nina Mikirova 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 Nina Mikirova. Nina Mikirova 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 4
3 10
4 5
5 6
6 2
7 61
8 134
9 22
10
Efficacy of oral DMSA and intravenous EDTA in chelation of toxic metals and improvement of the number of stem/ progenitor cells in circulation
7
11 29
12 5
13 12
14 27
15 11
16 32
17 9
18 66
19
Cell membrane fatty acid composition differs between normal and malignant cell lines.
29
20
Detection of energy metabolism level in cancer patients by fluorescence emission from serum
5

About Nina Mikirova

Nina Mikirova is a scholar working on Nutrition and Dietetics, Pathology and Forensic Medicine and Biochemistry, having authored 35 papers that have together received 616 indexed citations. Recurring topics across this work include Vitamin C and Antioxidants Research (15 papers), Vitamin D Research Studies (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Nutrition and Dietetics (280 citations), Complementary and Manual Therapy (27 citations) and Pathology and Forensic Medicine (126 citations). Nina Mikirova has collaborated with scholars based in United States, Puerto Rico and Slovakia. Frequent co-authors include Joseph J Casciari, Neil H Riordan, P R Taylor, Thomas E. Ichim, James Jackson, Hugh D. Riordan, Michael J. González, Jorge R. Miranda-Massari, Boris Minev and Doru T Alexandrescu. Their work appears in journals such as Journal of Translational Medicine, Cancer Biology & Therapy and International Journal of Medical 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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