Maša Katić

1.2k citations
9 papers · 963 · h-index 7

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Lipid metabolism and biosynthesis

Papers in

    • Genomics, phytochemicals, and oxidative stress 2
    • FOXO transcription factor regulation 1
    • Adipose Tissue and Metabolism 2

Maša Katić

8 papers receiving 936 citations

Peers

Maša Katić
Comparison fields: 5 of 111
  • Aging 107
  • Biochemistry 202
  • Physiology 393
  • Complementary and Manual Therapy 17
  • Endocrine and Autonomic Systems 46
Replace Xi Xu with:
Xi Xu China
Tatiana Armeni Italy
Agnieszka Grzelak Poland
Juewon Kim South Korea
Shuhei Noda Japan
Xiaolei Ye China
Toru Tanaka Japan
Douglas Darr United States
Yi Xiao China
Deirdre Nolfi‐Donegan United States
Maša Katić relative to Xi Xu China Xi Xu's profile →
Citations per field
00.5×11.2×
Xi Xu · 1×
Citations per year

Countries citing papers authored by Maša Katić

Since Specialization
Citations

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

Fields of papers citing papers by Maša Katić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2006308
2 2001203
3 2005129
4 2007122
5 200191
6 200772
7 200637
8 20041
9
In vitro and in vivo effect of natural clinoptilolite on malignant tumors
20080

About Maša Katić

Maša Katić is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Pediatrics, Perinatology and Child Health and Aging, having authored 9 papers that have together received 963 indexed citations. Recurring topics across this work include Synthesis and biological activity (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Birth, Development, and Health (2 papers), Adipose Tissue and Metabolism (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Pancreatic function and diabetes (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Aging (107 citations), Biochemistry (202 citations), Physiology (393 citations), Complementary and Manual Therapy (17 citations) and Endocrine and Autonomic Systems (46 citations). Maša Katić has collaborated with scholars based in United States, Croatia and Germany. Frequent co-authors include C. Ronald Kahn, Erin E. Kershaw, Jonathan K. Hamm, Jeffrey S. Flier, Odile D. Peroni, L.A.W. Verhagen, Krešimir Pavelić, Ranko Stojković, Marija Poljak‐Blaži and Ljiljana Bedrica. Their work appears in journals such as Frontiers in bioscience, Diabetes, Immunopharmacology and Immunotoxicology, Journal of Cancer Research and Clinical Oncology and Cellular and Molecular Life 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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