Maike Paramor

889 citations
4 papers · 647 · h-index 4

Impact in

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

Papers in

    • CRISPR and Genetic Engineering 2
    • Renal and related cancers 2
    • Epigenetics and DNA Methylation 1
    • Pluripotent Stem Cells Research 1
    • RNA modifications and cancer 1
    • Cancer-related molecular mechanisms research 2
    • MicroRNA in disease regulation 1

Maike Paramor

4 papers receiving 642 citations

Peers

Maike Paramor
Comparison fields: 5 of 39
  • Cancer Research 257
  • Molecular Biology 621
  • Aging 8
  • Genetics 39
  • Oncology 13
Replace Samuel S. Truesdell with:
Samuel S. Truesdell United States
Cristiana Bersaglieri Switzerland
Alex Robertson United States
Patrice Vitali France
Carlos Pulido-Quetglas Switzerland
Jaclyn M. Einstein United States
Soochul Shin South Korea
Andreas Heim Germany
Haiqing Xiong China
Ruibao Su China
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Citations per field
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Samuel S. Truesdell · 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

About Maike Paramor

Maike Paramor is a scholar working on Molecular Biology, Cancer Research, Surgery, Hematology and Infectious Diseases, having authored 4 papers that have together received 647 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Cancer-related molecular mechanisms research (2 papers), Renal and related cancers (2 papers), Epigenetics and DNA Methylation (1 paper), MicroRNA in disease regulation (1 paper), Pluripotent Stem Cells Research (1 paper), RNA modifications and cancer (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cancer Research (257 citations), Molecular Biology (621 citations), Aging (8 citations), Genetics (39 citations) and Oncology (13 citations). Maike Paramor has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Sabine Dietmann, Patrick Lombard, Abdulrahim A. Sajini, Joseph G. Gleeson, Duncan T. Odom, Sandra Blanco, Michaela Frye, Shobbir Hussain, Yoichiro Sugimoto and Jernej Ule. Their work appears in journals such as Cell stem cell, eLife, Cell Reports and Science Advances.

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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