Michael Reimer

535 citations
15 papers · 372 · h-index 10

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • Pluripotent Stem Cells Research
    • Protein Degradation and Inhibitors

Papers in

    • Genomics and Chromatin Dynamics 7
    • RNA Research and Splicing 3
    • CRISPR and Genetic Engineering 2
    • RNA modifications and cancer 2
    • Cell Adhesion Molecules Research 2

Michael Reimer

15 papers receiving 371 citations

Peers

Michael Reimer
Comparison fields: 5 of 58
  • Molecular Biology 269
  • Cancer Research 48
  • Aging 5
  • Hematology 27
  • Cell Biology 26
Replace Foued Ghanjati with:
Foued Ghanjati Germany
Nobuyuki Tanimura Japan
Lakshmi Revathi Perumalsamy India
Aida Rodríguez López Netherlands
Aishlin Hassan United States
Imme Krüger Germany
Zhaonan Zou Japan
Engda G. Hagos United States
Guofeng Meng China
Andrea V. Leisewitz Chile
Michael Reimer relative to Foued Ghanjati Germany Foued Ghanjati's profile →
Citations per field
00.5×1.5×1.8×
Foued Ghanjati · 1×
Citations per year

Countries citing papers authored by Michael Reimer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Reimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201685
2 201776
3 201648
4 201347
5 201616
6 201816
7 202114
8 201612
9 201411
10 201911
11 202110
12 201910
13 20179
14 20175
15 20162

About Michael Reimer

Michael Reimer is a scholar working on Molecular Biology, Immunology and Allergy, Cell Biology, Hematology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 372 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (3 papers), Cellular Mechanics and Interactions (3 papers), Acute Myeloid Leukemia Research (2 papers), CRISPR and Genetic Engineering (2 papers), RNA modifications and cancer (2 papers), Cell Adhesion Molecules Research (2 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Molecular Biology (269 citations), Cancer Research (48 citations), Aging (5 citations), Hematology (27 citations) and Cell Biology (26 citations). Michael Reimer has collaborated with scholars based in United States. Frequent co-authors include Sridhar Rao, Kirthi Pulakanti, Steven M. Blinka, Scott P. Levick, Carlos Sánchez-Priego, Jianlong Wang, Cary T. Stelloh, Junjun Ding, Diana Guallar and Francesco Faiola. Their work appears in journals such as Cell Reports, Journal of Biological Chemistry, Blood, Leukemia and Scientific 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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