Mayana Zatz

24.4k total citations · 1 hit paper
344 papers, 9.5k citations indexed

About

Mayana Zatz is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Mayana Zatz has authored 344 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 216 papers in Molecular Biology, 74 papers in Genetics and 73 papers in Genetics. Recurrent topics in Mayana Zatz's work include Muscle Physiology and Disorders (149 papers), Genetic Neurodegenerative Diseases (48 papers) and Neurogenetic and Muscular Disorders Research (44 papers). Mayana Zatz is often cited by papers focused on Muscle Physiology and Disorders (149 papers), Genetic Neurodegenerative Diseases (48 papers) and Neurogenetic and Muscular Disorders Research (44 papers). Mayana Zatz collaborates with scholars based in Brazil, United States and United Kingdom. Mayana Zatz's co-authors include Maria Rita Passos‐Bueno, Mariz Vainzof, Natássia M. Vieira, Alessandra Starling, Eder Zucconi, Rita C.M. Pavanello, Suely Kazue Nagahashi Marie, Mariane Secco, Tatiana Jazedje and Eloisa De Sá Moreira and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

Mayana Zatz

332 papers receiving 9.2k citations

Hit Papers

A gene related to Caenorh... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayana Zatz Brazil 49 6.2k 2.1k 1.9k 1.4k 1.3k 344 9.5k
Luciano Merlini Italy 54 8.3k 1.3× 1.7k 0.8× 1.6k 0.8× 1.5k 1.0× 882 0.7× 250 11.0k
Carsten G. Bönnemann United States 53 7.1k 1.1× 1.6k 0.8× 1.7k 0.9× 1.8k 1.3× 1.6k 1.2× 249 10.7k
Kate Bushby United Kingdom 58 8.0k 1.3× 2.0k 0.9× 1.9k 1.0× 2.4k 1.7× 967 0.7× 183 9.7k
Jerry R. Mendell United States 61 10.1k 1.6× 2.2k 1.0× 1.7k 0.9× 2.4k 1.7× 2.4k 1.8× 208 12.2k
Silvère M. van der Maarel Netherlands 61 10.1k 1.6× 2.2k 1.1× 1.8k 0.9× 2.1k 1.5× 1.5k 1.2× 240 12.5k
Thomas Voit Germany 50 5.8k 0.9× 884 0.4× 1.4k 0.8× 1.3k 0.9× 780 0.6× 137 7.9k
Kevin M. Flanigan United States 45 5.6k 0.9× 1.1k 0.5× 1.2k 0.6× 1.3k 0.9× 1.2k 0.9× 189 7.3k
Volker Straub United Kingdom 65 11.1k 1.8× 2.1k 1.0× 2.5k 1.3× 3.2k 2.3× 1.5k 1.1× 364 13.8k
Thomas O. Crawford United States 59 5.4k 0.9× 3.5k 1.7× 2.3k 1.2× 577 0.4× 773 0.6× 160 10.8k
Caroline A. Sewry United Kingdom 65 10.2k 1.6× 2.3k 1.1× 2.0k 1.0× 4.0k 2.8× 1.2k 0.9× 255 12.2k

Countries citing papers authored by Mayana Zatz

Since Specialization
Citations

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

Fields of papers citing papers by Mayana Zatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayana Zatz

This figure shows the co-authorship network connecting the top 25 collaborators of Mayana Zatz. A scholar is included among the top collaborators of Mayana Zatz 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 Mayana Zatz. Mayana Zatz 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
1.
Suemoto, Cláudia Kimie, Renata Elaine Paraízo Leite, Vítor Ribeiro Paes, et al.. (2024). Neuropathological Lesions and Cognitive Abilities in Black and White Older Adults in Brazil. JAMA Network Open. 7(7). e2423377–e2423377. 4 indexed citations
3.
Telles-Silva, Kayque A., et al.. (2024). iPSC-derived cells for whole liver bioengineering. Frontiers in Bioengineering and Biotechnology. 12. 1338762–1338762. 3 indexed citations
4.
Assoni, Amanda F., Erika N. Guerrero, René Wardenaar, et al.. (2023). IFNγ protects motor neurons from oxidative stress via enhanced global protein synthesis in FUS ‐associated amyotrophic lateral sclerosis. Brain Pathology. 34(1). e13206–e13206. 6 indexed citations
5.
Witkin, Steven S., Antoni Soriano‐Arandes, Laura C. Rodrigues, et al.. (2021). Differences in Placental Histology Between Zika Virus–infected Teenagers and Older Women. International Journal of Gynecological Pathology. 41(4). 389–396.
6.
Olinda, Ricardo Alves de, et al.. (2020). Happiness, Subjective Well-Being, and Life Satisfaction: A Compared Study between Long-Lived Elderly People in Northeast and Southeast Brazil. Global Journal of Health Science. 13(1). 89–89.
7.
Trevisan, Camila Martins, Michel Satya Naslavsky, Frederico Monfardini, et al.. (2020). Variants in the Kisspeptin-GnRH Pathway Modulate the Hormonal Profile and Reproductive Outcomes. DNA and Cell Biology. 39(6). 1012–1022. 3 indexed citations
8.
Kaid, Carolini, Ernesto Goulart, Luiz C. Caires-Júnior, et al.. (2018). Zika Virus Selectively Kills Aggressive Human Embryonal CNS Tumor Cells In Vitro and In Vivo. Cancer Research. 78(12). 3363–3374. 54 indexed citations
9.
10.
Assoni, Amanda F., Marcos Valadares, Melinda S. Beccari, et al.. (2016). Different Donors Mesenchymal Stromal Cells Secretomes Reveal Heterogeneous Profile of Relevance for Therapeutic Use. Stem Cells and Development. 26(3). 206–214. 52 indexed citations
11.
Zucconi, Eder, Natássia M. Vieira, Daniela Franco Bueno, et al.. (2009). Mesenchymal Stem Cells Derived From Canine Umbilical Cord Vein—A Novel Source for Cell Therapy Studies. Stem Cells and Development. 19(3). 395–402. 63 indexed citations
12.
Zatz, Mayana & Alessandra Starling. (2005). Calpains and Disease. New England Journal of Medicine. 352(23). 2413–2423. 183 indexed citations
13.
Passos‐Bueno, Maria Rita, et al.. (2003). Asymptomatic carriers and gender differences in facioscapulohumeral muscular dystrophy (FSHD). Neuromuscular Disorders. 14(1). 33–38. 102 indexed citations
14.
Paula, Flavia, et al.. (2001). Novel dysferlin mutations in Brazilian LGMD2B patients. The American Journal of Human Genetics. 2 indexed citations
15.
Bernardino, Andrea, Maria Rita Passos‐Bueno, Chong Ae Kim, et al.. (2000). Molecular Analysis in Brazilian Cystic Fibrosis Patients Reveals Five Novel Mutations. Genetic Testing. 4(1). 69–74. 38 indexed citations
16.
Zatz, Mayana, et al.. (2000). Establishment of a muscular dystrophy dog colony in Brazil. Genetics and Molecular Biology. 23(3). 75. 3 indexed citations
17.
Bushby, Kate, R. Bashir, Sharon Keers, et al.. (1996). The molecular biology of LGMD2B — Towards the identification of the LGMD gene on chromosome 2p13. Neuromuscular Disorders. 6(6). 491–492. 3 indexed citations
18.
Mahjneh, I., Maria-Rita Passos-Bueno, Mayana Zatz, et al.. (1996). The phenotype of chromosome 2p-linked limb-girdle muscular dystrophy. Neuromuscular Disorders. 6(6). 483–490. 39 indexed citations
19.
Zatz, Mayana, et al.. (1979). A New Method for the Analysis of Age Trends in CPK Levels with Application to Duchenne Muscular Dystrophy. Human Heredity. 29(3). 154–160. 10 indexed citations
20.
Zatz, Mayana, Oswaldo Frota‐Pessoa, & Carlos A. Peres. (1975). Use of Normal Daughters’ CPK Levels in the Estimation of Heterozygosity Risks in X-Linked Muscular Dystrophies. Human Heredity. 25(5). 354–359. 13 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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