Maike Paramor

849 citations
6 papers · 688 · h-index 4

Impact in

    • RNA modifications and cancer
    • Pluripotent Stem Cells Research
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • Cancer-related molecular mechanisms research

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Platelet Disorders and Treatments 1

Maike Paramor

6 papers receiving 683 citations

Peers

Maike Paramor
Comparison fields: 5 of 38
  • Molecular Biology 619
  • Cancer Research 56
  • Developmental Neuroscience 5
  • Aging 2
  • Genetics 31
Replace Lukas Trixl with:
Lukas Trixl Austria
Nicolas Viphakone United Kingdom
Kate V. Karfilis United States
Cornelia Kilchert Germany
Alexandre Coudray Switzerland
Archana Bairavasundaram Prusty Germany
Keith E. Giles United States
Lukas Stalder Switzerland
Mylène Brunelle Canada
Shai Melcer Israel
Maike Paramor relative to Lukas Trixl Austria Lukas Trixl's profile →
Citations per field
00.5×10×20×26.5×
Lukas Trixl · 1×
Citations per year

Countries citing papers authored by Maike Paramor

Since Specialization
Citations

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

Fields of papers citing papers by Maike Paramor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2013485
2 2014154
3 201736
4 20235
5 20204
6 20224

About Maike Paramor

Maike Paramor is a scholar working on Genetics, Hematology, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 688 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Platelet Disorders and Treatments (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (619 citations), Cancer Research (56 citations), Developmental Neuroscience (5 citations), Aging (2 citations) and Genetics (31 citations). Maike Paramor has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Sabine Dietmann, Joseph J Gleeson, Yoichiro Sugimoto, Sandra Blanco, Duncan T. Odom, Abdulrahim A. Sajini, Michaela Frye, Shobbir Hussain, Patrick Lombard and Jernej Ule. Their work appears in journals such as Cell stem cell, Blood, Nature Communications, Science Advances and Cell Reports.

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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