Michael Buckner
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Developmental Biology and Gene Regulation
Papers in
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- RNA and protein synthesis mechanisms 3
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
- Biochemical and Structural Characterization 1
- RNA Research and Splicing 1
- Pluripotent Stem Cells Research 1
- Co-authors
- Norbert Perrimon (6 shared papers)Yanhui Hu (5 shared papers)Ralph A. Neumüller (3 shared papers)Stephanie E. Mohr (4 shared papers)Colleen Kelley (3 shared papers)Arunachalam Vinayagam (2 shared papers)Benjamin E. Housden (2 shared papers)Rong Tao (2 shared papers)
- Journals
- Science Signaling (2 papers)G3 Genes Genomes Genetics (2 papers)Developmental Cell (1 paper)Journal of Counseling Psychology (1 paper)Genetics (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Michael Buckner
7 papers receiving 363 citations
Peers
Comparison fields: 5 of 56
- Aging 44
- Molecular Biology 308
- Cellular and Molecular Neuroscience 59
- Cell Biology 40
- Insect Science 28
Countries citing papers authored by Michael Buckner
This map shows the geographic impact of Michael Buckner'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 Buckner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Buckner more than expected).
Fields of papers citing papers by Michael Buckner
This network shows the impact of papers produced by Michael Buckner. 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 Buckner. The network helps show where Michael Buckner may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Buckner, 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 | 2014 | 104 | |
| 2 | 2015 | 100 | |
| 3 | 2011 | 73 | |
| 4 | 2013 | 65 | |
| 5 | 2017 | 14 | |
| 6 | 2015 | 6 | |
| 7 | 1987 | 4 |
About Michael Buckner
Michael Buckner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 7 papers that have together received 366 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers), Trace Elements in Health (1 paper), Heavy Metal Exposure and Toxicity (1 paper), Biochemical and Structural Characterization (1 paper), RNA Research and Splicing (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Aging (44 citations), Molecular Biology (308 citations), Cellular and Molecular Neuroscience (59 citations), Cell Biology (40 citations) and Insect Science (28 citations). Michael Buckner has collaborated with scholars based in United States and Canada. Frequent co-authors include Norbert Perrimon, Yanhui Hu, Ralph A. Neumüller, Stephanie E. Mohr, Colleen Kelley, Arunachalam Vinayagam, Benjamin E. Housden, Rong Tao, Bahar Yilmazel and Brendan D. Manning. Their work appears in journals such as Science Signaling, G3 Genes Genomes Genetics, Developmental Cell, Journal of Counseling Psychology and Genetics.
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.