Michael Y. Bonner
- Molecular Biology top 10%
- Rehabilitation top 2%
- Oncology
- Cancer Research top 10%
- Immunology
- Co-authors
- Jack L. ArbiserArumugam NagalingamNeeraj K. SaxenaDipali SharmaMahesh P. GuptaNagalingam R. SundaresanSadhana SamantDouglas I. Walker
- Topics
- Magnolia and Illicium research (11 papers)Nuclear Receptors and Signaling (5 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Michael Y. Bonner
35 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 720
- Rehabilitation 279
- Oncology 229
- Cancer Research 211
- Immunology 205
Countries citing papers authored by Michael Y. Bonner
This map shows the geographic impact of Michael Y. Bonner'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 Y. Bonner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Y. Bonner more than expected).
Fields of papers citing papers by Michael Y. Bonner
This network shows the impact of papers produced by Michael Y. Bonner. 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 Y. Bonner. The network helps show where Michael Y. Bonner may publish in the future.
Co-authorship network of co-authors of Michael Y. Bonner
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Y. Bonner. A scholar is included among the top collaborators of Michael Y. Bonner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Y. Bonner. Michael Y. Bonner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 40 | |
| 6 | 55 | |
| 7 | 6 | |
| 8 | 34 | |
| 9 | 18 | |
| 10 | Honokiol blocks and reverses cardiac hypertrophy in mice by activating mitochondrial Sirt3breakdown → | 354 |
| 11 | 21 | |
| 12 | 50 | |
| 13 | 46 | |
| 14 | 5 | |
| 15 | 21 | |
| 16 | 14 | |
| 17 | 84 | |
| 18 | 68 | |
| 19 | 93 | |
| 20 | 93 |
About Michael Y. Bonner
Michael Y. Bonner is a scholar working on Rehabilitation, Toxicology and Geriatrics and Gerontology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Magnolia and Illicium research (11 papers), Nuclear Receptors and Signaling (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). The work is most often cited by research in Geriatrics and Gerontology (182 citations), Rehabilitation (279 citations) and Cancer Research (211 citations). Michael Y. Bonner has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Jack L. Arbiser, Arumugam Nagalingam, Neeraj K. Saxena, Dipali Sharma, Mahesh P. Gupta, Nagalingam R. Sundaresan, Sadhana Samant, Douglas I. Walker, Dean P. Jones and Gene Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.