Mirela Matecic

834 total citations
10 papers, 666 citations indexed

About

Mirela Matecic is a scholar working on Molecular Biology, Aging and Geriatrics and Gerontology. According to data from OpenAlex, Mirela Matecic has authored 10 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Aging and 3 papers in Geriatrics and Gerontology. Recurrent topics in Mirela Matecic's work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Fungal and yeast genetics research (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Mirela Matecic is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (4 papers), Fungal and yeast genetics research (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Mirela Matecic collaborates with scholars based in United States and Sweden. Mirela Matecic's co-authors include Jeffrey S. Smith, Daniel L. Smith, Nazif Maqani, Stefan Bekiranov, Jef D. Boeke, Xuewen Pan, Roderick V. Jensen, Anindya Dutta, Clive Evans and Yong Sun Lee and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Journal of Virology.

In The Last Decade

Mirela Matecic

10 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mirela Matecic United States	9	458	247	161	108	80	10	666
Christopher M. Gallo United States	7	490 1.1×	189 0.8×	53 0.3×	59 0.5×	153 1.9×	9	696
Gizem Rizki United States	9	472 1.0×	135 0.5×	56 0.3×	28 0.3×	45 0.6×	10	624
Antoine E. Roux Canada	9	488 1.1×	287 1.2×	54 0.3×	80 0.7×	10 0.1×	10	721
Nazif Maqani United States	10	302 0.7×	144 0.6×	16 0.1×	68 0.6×	41 0.5×	11	414
Sarallah Rezazadeh United States	6	362 0.8×	31 0.1×	42 0.3×	160 1.5×	142 1.8×	9	546
Bharath Sunchu United States	7	257 0.6×	117 0.5×	21 0.1×	55 0.5×	15 0.2×	11	484
Sandra Malmgren Hill Sweden	11	491 1.1×	85 0.3×	31 0.2×	265 2.5×	18 0.2×	13	730
Giuseppina Covello Italy	8	275 0.6×	54 0.2×	22 0.1×	125 1.2×	244 3.0×	10	556
Timothy Morello United States	5	312 0.7×	34 0.1×	30 0.2×	83 0.8×	132 1.6×	8	476

Countries citing papers authored by Mirela Matecic

Since Specialization

Citations

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

Fields of papers citing papers by Mirela Matecic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirela Matecic

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

All Works

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10 of 10 papers shown

Buck, Stephen W., Nazif Maqani, Mirela Matecic, et al.. (2016). RNA Polymerase I and Fob1 contributions to transcriptional silencing at the yeast rDNA locus. Nucleic Acids Research. 44(13). 6173–6184. 7 indexed citations

Matecic, Mirela, et al.. (2015). Functional genomic analysis reveals overlapping and distinct features of chronologically long-lived yeast populations. Aging. 7(3). 177–194. 9 indexed citations

Sun, Dandan, Yong Sun Lee, Ankit Malhotra, et al.. (2011). miR-99 Family of MicroRNAs Suppresses the Expression of Prostate-Specific Antigen and Prostate Cancer Cell Proliferation. Cancer Research. 71(4). 1313–1324. 198 indexed citations

Matecic, Mirela, Daniel L. Smith, Xuewen Pan, et al.. (2010). A Microarray-Based Genetic Screen for Yeast Chronological Aging Factors. PLoS Genetics. 6(4). e1000921–e1000921. 171 indexed citations

Smith, Daniel L., Chonghua Li, Mirela Matecic, et al.. (2009). Calorie restriction effects on silencing and recombination at the yeast rDNA. Aging Cell. 8(6). 633–642. 34 indexed citations

Gallo, Christopher M., Daniel L. Smith, Mirela Matecic, et al.. (2008). Pnc1p-Mediated Nicotinamide Clearance Modifies the Epigenetic Properties of rDNA Silencing in Saccharomyces cerevisiae. Genetics. 180(2). 797–810. 15 indexed citations

Smith, Daniel L., et al.. (2007). Calorie restriction extends the chronological lifespan of Saccharomyces cerevisiae independently of the Sirtuins. Aging Cell. 6(5). 649–662. 180 indexed citations

Matecic, Mirela, et al.. (2006). New Alleles of SIR2 Define Cell-Cycle-Specific Silencing Functions. Genetics. 173(4). 1939–1950. 16 indexed citations

Matecic, Mirela, et al.. (2002). SIR2-Induced Inviability Is Suppressed by Histone H4 Overexpression. Genetics. 162(2). 973–976. 11 indexed citations

10.

Yao, Xudong, Mirela Matecic, & Per Elias. (1997). Direct repeats of the herpes simplex virus a sequence promote nonconservative homologous recombination that is not dependent on XPF/ERCC4. Journal of Virology. 71(9). 6842–6849. 25 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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