M Bennett

1.3k citations
9 papers · 1.1k · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Pluripotent Stem Cells Research
    • RNA Research and Splicing

Papers in

    • Immune Cell Function and Interaction 4
    • Pluripotent Stem Cells Research 2
    • RNA Interference and Gene Delivery 2
    • Circular RNAs in diseases 2

M Bennett

9 papers receiving 1.1k citations

Peers

M Bennett
Comparison fields: 5 of 68
  • Cancer Research 607
  • Molecular Biology 756
  • Immunology 201
  • Developmental Neuroscience 19
  • Hematology 47
Replace Virginie Olive with:
Virginie Olive United States
Leslie C. Sutherland Canada
Luca Zacchigna Italy
Hans‐Ingo Trompeter Germany
Deepa Shankar United States
Alessandro Gardini United States
Jiyang O‐Wang Japan
N Kabrun United States
Ilhem Guernah United States
Ivana De Martino Italy
M Bennett relative to Virginie Olive United States Virginie Olive's profile →
Citations per field
00.5×1.5×2.1×
Virginie Olive · 1×
Citations per year

Countries citing papers authored by M Bennett

Since Specialization
Citations

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

Fields of papers citing papers by M Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2009492
2 2011316
3 199467
4 201363
5 198961
6 198946
7 200932
8 201413
9 198210

About M Bennett

M Bennett is a scholar working on Immunology, Molecular Biology, Cancer Research, Genetics and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), MicroRNA in disease regulation (2 papers), Pluripotent Stem Cells Research (2 papers), RNA Interference and Gene Delivery (2 papers), Circular RNAs in diseases (2 papers), Cell Adhesion Molecules Research (1 paper), Zebrafish Biomedical Research Applications (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Cancer Research (607 citations), Molecular Biology (756 citations), Immunology (201 citations), Developmental Neuroscience (19 citations) and Hematology (47 citations). M Bennett has collaborated with scholars based in United States, Norway and China. Frequent co-authors include Lin He, Virginie Olive, Iris Jiang, James C. Walker, Carlos Cordon‐Cardo, Scott W. Lowe, Qi-Jing Li, Gregory J. Hannon, Cong Ma and Vinay Kumar. Their work appears in journals such as The Journal of Immunology, eLife, Developmental Biology, Genes & Development and Nature Cell Biology.

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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