M Bennett
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Pluripotent Stem Cells Research
- RNA Research and Splicing
Papers in
-
- Immune Cell Function and Interaction 4
- Immunodeficiency and Autoimmune Disorders 1
-
- Pluripotent Stem Cells Research 2
- Circular RNAs in diseases 2
- RNA Interference and Gene Delivery 2
- Co-authors
- Lin He (3 shared papers)Virginie Olive (2 shared papers)James C. Walker (1 shared paper)Scott W. Lowe (1 shared paper)Gregory J. Hannon (1 shared paper)Iris Jiang (1 shared paper)Cong Ma (1 shared paper)Qi-Jing Li (1 shared paper)
- Journals
- The Journal of Immunology (4 papers)eLife (2 papers)Genes & Development (1 paper)Nature Cell Biology (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
M Bennett
9 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 71
- Cancer Research 643
- Molecular Biology 811
- Immunology 211
- Developmental Neuroscience 19
- Hematology 50
Countries citing papers authored by M Bennett
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 492 | |
| 2 | 2011 | 314 | |
| 3 | 1994 | 67 | |
| 4 | 2013 | 63 | |
| 5 | 1989 | 61 | |
| 6 | 1989 | 46 | |
| 7 | 2009 | 32 | |
| 8 | 2014 | 13 | |
| 9 | 1982 | 10 |
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), Circular RNAs in diseases (2 papers), RNA Interference and Gene Delivery (2 papers), Mesenchymal stem cell research (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Cancer Research (643 citations), Molecular Biology (811 citations), Immunology (211 citations), Developmental Neuroscience (19 citations) and Hematology (50 citations). M Bennett has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lin He, Virginie Olive, James C. Walker, Scott W. Lowe, Gregory J. Hannon, Iris Jiang, Cong Ma, Qi-Jing Li, Carlos Cordon‐Cardo and Vinay Kumar. Their work appears in journals such as The Journal of Immunology, eLife, Genes & Development, Nature Cell Biology and Developmental 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.