Maša Katić

1.2k total citations
9 papers, 963 citations indexed

About

Maša Katić is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, Maša Katić has authored 9 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Organic Chemistry. Recurrent topics in Maša Katić's work include Genomics, phytochemicals, and oxidative stress (2 papers), Synthesis and biological activity (2 papers) and Birth, Development, and Health (2 papers). Maša Katić is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (2 papers), Synthesis and biological activity (2 papers) and Birth, Development, and Health (2 papers). Maša Katić collaborates with scholars based in United States, Croatia and Germany. Maša Katić's co-authors include C. Ronald Kahn, Erin E. Kershaw, Odile D. Peroni, L.A.W. Verhagen, Jeffrey S. Flier, Jonathan K. Hamm, Marija Poljak‐Blaži, Ranko Stojković, Krešimir Pavelić and Ivan Đikić and has published in prestigious journals such as Diabetes, Cellular and Molecular Life Sciences and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

In The Last Decade

Maša Katić

8 papers receiving 936 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maša Katić United States	7	393	281	202	133	113	9	963
Tatiana Armeni Italy	26	171 0.4×	595 2.1×	123 0.6×	74 0.6×	75 0.7×	67	1.7k
Xiaolei Ye China	21	117 0.3×	728 2.6×	35 0.2×	124 0.9×	57 0.5×	55	1.6k
Arun K. Das United States	24	380 1.0×	1.0k 3.7×	289 1.4×	178 1.3×	151 1.3×	73	1.8k
Douglas Darr United States	15	86 0.2×	492 1.8×	44 0.2×	88 0.7×	68 0.6×	19	1.7k
Deirdre Nolfi‐Donegan United States	6	164 0.4×	477 1.7×	43 0.2×	78 0.6×	48 0.4×	11	993
Valentini Konstantinidou Spain	17	183 0.5×	253 0.9×	28 0.1×	52 0.4×	288 2.5×	19	1.6k
Xi Xu China	21	207 0.5×	455 1.6×	18 0.1×	97 0.7×	151 1.3×	82	1.4k
Siyi Wang China	19	89 0.2×	618 2.2×	52 0.3×	94 0.7×	70 0.6×	87	1.2k
Shuhei Noda Japan	22	84 0.2×	1.4k 5.1×	82 0.4×	50 0.4×	43 0.4×	51	2.0k
Filipe V. Duarte Portugal	21	220 0.6×	604 2.1×	21 0.1×	289 2.2×	94 0.8×	37	1.4k

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-authorship network of co-authors of Maša Katić

This figure shows the co-authorship network connecting the top 25 collaborators of Maša Katić. A scholar is included among the top collaborators of Maša Katić 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 Maša Katić. Maša Katić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Poljak‐Blaži, Marija, Maša Katić, Marijeta Kralj, et al.. (2008). In vitro and in vivo effect of natural clinoptilolite on malignant tumors. 374.

2.

Katić, Maša, Adam R. Kennedy, Igor Leykin, et al.. (2007). Mitochondrial gene expression and increased oxidative metabolism: role in increased lifespan of fat‐specific insulin receptor knock‐out mice. Aging Cell. 6(6). 827–839. 122 indexed citations

3.

Mouche, Sarah, Sanae Ben Mkaddem, Wei Wang, et al.. (2007). Reduced expression of the NADPH oxidase NOX4 is a hallmark of adipocyte differentiation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1773(7). 1015–1027. 72 indexed citations

4.

Katić, Maša. (2006). A clinoptilolite effect on cell media and the consequent effects on tumor cells in vitro. Frontiers in bioscience. 11(1). 1722–1722. 37 indexed citations

5.

Kershaw, Erin E., Jonathan K. Hamm, L.A.W. Verhagen, et al.. (2006). Adipose Triglyceride Lipase. Diabetes. 55(1). 148–157. 308 indexed citations

6.

Katić, Maša & C. Ronald Kahn. (2005). The role of insulin and IGF-1 signaling in longevity. Cellular and Molecular Life Sciences. 62(3). 320–343. 129 indexed citations

7.

Bošnjak, Berislav, Maša Katić, Boška Hrvačić, Z Zupanovic, & Marija Poljak‐Blaži. (2004). Effect of Ferric Sorbitol Citrate (FSC) Administration on NF‐κB in Macrophages and Spleen Cells of Rats. Immunopharmacology and Immunotoxicology. 26(1). 43–52. 1 indexed citations

8.

Pavelić, Krešimir, Mirko Hadžija, Ljiljana Bedrica, et al.. (2001). Natural zeolite clinoptilolite: new adjuvant in anticancer therapy. Journal of Molecular Medicine. 78(12). 708–720. 203 indexed citations

9.

Pavelić, Krešimir, Maša Katić, Višnja Šverko, et al.. (2001). Immunostimulatory effect of natural clinoptilolite as a possible mechanism of its antimetastatic ability. Journal of Cancer Research and Clinical Oncology. 128(1). 37–44. 91 indexed citations

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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