E. Matz

681 citations
8 papers · 555 · h-index 7

Impact in

    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • Plant Gene Expression Analysis
    • CRISPR and Genetic Engineering
    • Cancer therapeutics and mechanisms
    • Chromosomal and Genetic Variations

Papers in

    • DNA and Nucleic Acid Chemistry 2
    • Polyamine Metabolism and Applications 1
    • DNA Repair Mechanisms 1
    • Plant Gene Expression Analysis 1
    • Cancer therapeutics and mechanisms 1
    • Plant Genetic and Mutation Studies 1

E. Matz

8 papers receiving 546 citations

Peers

E. Matz
Comparison fields: 5 of 57
  • Molecular Biology 475
  • Plant Science 150
  • Biochemistry 23
  • Genetics 95
  • Biochemistry 25
Replace Guy Oshiro with:
Guy Oshiro United States
Corinne Rebischung Switzerland
Aashiq H. Kachroo United States
Brent V. Edington United States
Zygmunt Cieśla Poland
Jérôme Garin France
Anne E. Menkens United States
Nicole Houba‐Hérin France
Fabiana Fernández United States
Parul Mishra India
E. Matz relative to Guy Oshiro United States Guy Oshiro's profile →
Citations per field
00.5×
Guy Oshiro · 1×
Citations per year

Countries citing papers authored by E. Matz

Since Specialization
Citations

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

Fields of papers citing papers by E. Matz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2002215
2 199281
3 199677
4 200458
5 200654
6 199149
7 199215
8 19966

About E. Matz

E. Matz is a scholar working on Molecular Biology, Plant Science, Pharmacology, Oncology and Cell Biology, having authored 8 papers that have together received 555 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (2 papers), Polyamine Metabolism and Applications (1 paper), DNA Repair Mechanisms (1 paper), Plant Genetic and Mutation Studies (1 paper), Plant Gene Expression Analysis (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Molecular Biology (475 citations), Plant Science (150 citations), Biochemistry (23 citations), Genetics (95 citations) and Biochemistry (25 citations). E. Matz has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include B Burr, F A Burr, Arthur P. Grollman, R. Gilboa, Dmitry O. Zharkov, Jadwiga H. Kycia, Sue Ellen Gerchman, G. Shoham, G. Golan and A.S. Fernandes. Their work appears in journals such as The Plant Cell, Journal of Biological Chemistry and Proceedings of the National Academy of 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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