Stanka Matic

594 citations
7 papers · 404 · h-index 6

Impact in

    • Metabolism and Genetic Disorders
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • DNA Repair Mechanisms
    • RNA Research and Splicing

Papers in

    • Mitochondrial Function and Pathology 7
    • ATP Synthase and ATPases Research 3
    • DNA Repair Mechanisms 1
    • Ubiquitin and proteasome pathways 1
    • Metabolomics and Mass Spectrometry Studies 1
    • RNA modifications and cancer 1
    • Metabolism and Genetic Disorders 4

Stanka Matic

7 papers receiving 404 citations

Peers

Stanka Matic
Comparison fields: 5 of 42
  • Clinical Biochemistry 122
  • Molecular Biology 377
  • Aging 7
  • Cell Biology 36
  • Cancer Research 22
Replace Sheryl Southard with:
Sheryl Southard United States
Jean-Paul di Rago France
Olga Zurita Rendón Canada
Judith A. Ermer Australia
Ana Peñas Spain
Juvid Aryaman United Kingdom
Aleksandra Pajak United Kingdom
Sanna Marjavaara Finland
Bradley Peter Sweden
Steve E. Durham United Kingdom
Stanka Matic relative to Sheryl Southard United States Sheryl Southard's profile →
Citations per field
00.5×3.8×
Sheryl Southard · 1×
Citations per year

Countries citing papers authored by Stanka Matic

Since Specialization
Citations

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

Fields of papers citing papers by Stanka Matic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2016109
2 201480
3 201858
4 201957
5 201651
6 202046
7 20183

About Stanka Matic

Stanka Matic is a scholar working on Molecular Biology, Clinical Biochemistry, Cell Biology, Cancer Research and Infectious Diseases, having authored 7 papers that have together received 404 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Metabolism and Genetic Disorders (4 papers), ATP Synthase and ATPases Research (3 papers), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Clinical Biochemistry (122 citations), Molecular Biology (377 citations), Aging (7 citations), Cell Biology (36 citations) and Cancer Research (22 citations). Stanka Matic has collaborated with scholars based in Germany, Sweden and Australia. Frequent co-authors include Dusanka Milenkovic, Nils‐Göran Larsson, Arnaud Mourier, Benedetta Ruzzenente, James B. Stewart, Jay P. Uhler, Maria Falkenberg, Ilian Atanassov, Aleksandra Filipovska and Oliver Rackham. Their work appears in journals such as Molecular Cell, Nucleic Acids Research, Nature Communications, Cell Reports and PLoS Genetics.

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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