Ziv Machnes

868 total citations
10 papers, 652 citations indexed

About

Ziv Machnes is a scholar working on Molecular Biology, Aquatic Science and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ziv Machnes has authored 10 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Aquatic Science and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ziv Machnes's work include Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (2 papers) and Birth, Development, and Health (2 papers). Ziv Machnes is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (2 papers) and Birth, Development, and Health (2 papers). Ziv Machnes collaborates with scholars based in Canada, Israel and United States. Ziv Machnes's co-authors include Moshe Szyf, Matthew Suderman, Renaud Massart, David P. Laplante, Lei Cao-Lei, Suzanne King, Guillaume Elgbeili, Majid Iqbal, Alisa Kostaki and Vasilis G. Moisiadis and has published in prestigious journals such as PLoS ONE, Scientific Reports and Endocrinology.

In The Last Decade

Ziv Machnes

10 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziv Machnes Canada 9 292 248 92 88 75 10 652
Jessica Kimmel United States 7 175 0.6× 279 1.1× 190 2.1× 68 0.8× 88 1.2× 14 705
Jane A. Stewart United Kingdom 18 355 1.2× 144 0.6× 214 2.3× 73 0.8× 230 3.1× 36 1.3k
Rong Yang China 17 198 0.7× 108 0.4× 49 0.5× 94 1.1× 112 1.5× 38 753
Rieta Van Bree Belgium 12 161 0.6× 269 1.1× 45 0.5× 28 0.3× 181 2.4× 18 722
Catherine S. Pinal New Zealand 9 137 0.5× 489 2.0× 97 1.1× 73 0.8× 135 1.8× 9 875
Caroline Trumpff United States 16 346 1.2× 404 1.6× 157 1.7× 48 0.5× 265 3.5× 35 1.2k
Marc Muschler Germany 16 435 1.5× 145 0.6× 97 1.1× 124 1.4× 29 0.4× 37 810
Jude Gibson United Kingdom 16 672 2.3× 236 1.0× 183 2.0× 352 4.0× 42 0.6× 20 1.2k
Doris Gruber Austria 20 196 0.7× 88 0.4× 121 1.3× 261 3.0× 190 2.5× 56 1.4k
Jennifer C Chan United States 13 377 1.3× 178 0.7× 38 0.4× 147 1.7× 98 1.3× 16 742

Countries citing papers authored by Ziv Machnes

Since Specialization
Citations

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

Fields of papers citing papers by Ziv Machnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziv Machnes

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

All Works

10 of 10 papers shown
1.
Carmo, Sonia Do, Cecilia E. Hanzel, Ziv Machnes, et al.. (2016). Rescue of Early bace-1 and Global DNA Demethylation by S-Adenosylmethionine Reduces Amyloid Pathology and Improves Cognition in an Alzheimer’s Model. Scientific Reports. 6(1). 34051–34051. 61 indexed citations
2.
Alvarado, Sebastian, Maral Tajerian, Matthew Suderman, et al.. (2015). An epigenetic hypothesis for the genomic memory of pain. Frontiers in Cellular Neuroscience. 9. 88–88. 45 indexed citations
3.
Cao-Lei, Lei, Renaud Massart, Matthew Suderman, et al.. (2014). DNA Methylation Signatures Triggered by Prenatal Maternal Stress Exposure to a Natural Disaster: Project Ice Storm. PLoS ONE. 9(9). e107653–e107653. 226 indexed citations
5.
Stefañska, Barbara, et al.. (2013). Transcription onset of genes critical in liver carcinogenesis is epigenetically regulated by methylated DNA-binding protein MBD2. Carcinogenesis. 34(12). 2738–2749. 29 indexed citations
6.
Machnes, Ziv, Tony Chieh‐Ting Huang, Philip K.‐Y. Chang, et al.. (2013). DNA Methylation Mediates Persistent Epileptiform Activity In Vitro and In Vivo. PLoS ONE. 8(10). e76299–e76299. 47 indexed citations
7.
Szyf, Moshe, et al.. (2013). Light at night and melatonin have opposite effects on breast cancer tumors in mice assessed by growth rates and global DNA methylation. Chronobiology International. 31(1). 144–150. 61 indexed citations
8.
Petropoulos, Sophie, Vasilis G. Moisiadis, Majid Iqbal, et al.. (2012). Prenatal Synthetic Glucocorticoid Treatment Changes DNA Methylation States in Male Organ Systems: Multigenerational Effects. Endocrinology. 153(7). 3269–3283. 118 indexed citations
9.
Machnes, Ziv, Ramy R. Avtalion, Andrey Shirak, et al.. (2008). Male-specific protein (MSP): A new gene linked to sexual behavior and aggressiveness of tilapia males. Hormones and Behavior. 54(3). 442–449. 13 indexed citations
10.
Shirak, Andrey, et al.. (2002). Epitopes Of Tilapia Red Blood Cells. I. Species-Specific Antibodies For The Control Of Tilapia Breeding Stocks. Israeli Journal of Aquaculture - Bamidgeh. 54. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026