Michael J. Bertram
Impact in
- Aging top 5%
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- Animal Behavior and Reproduction
- Plant and animal studies
Papers in
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- Epigenetics and DNA Methylation 2
- Ubiquitin and proteasome pathways 1
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- Animal Behavior and Reproduction 3
- Co-authors
- Olivia M. Pereira‐Smith (5 shared papers)Deborah M. Neubaum (2 shared papers)Nathalie G. Bérubé (3 shared papers)Geetanjali A. Akerkar (1 shared paper)Cayetano González (1 shared paper)James R. Smith (2 shared papers)V. v. Bülow (1 shared paper)Kevin W. Kraus (1 shared paper)
- Journals
- Insect Biochemistry and Molecular Biology (2 papers)Gene (1 paper)Genomics (1 paper)Mechanisms of Development (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Michael J. Bertram
9 papers receiving 568 citations
Peers
Comparison fields: 5 of 59
- Aging 38
- Ecology, Evolution, Behavior and Systematics 181
- Genetics 217
- Cellular and Molecular Neuroscience 126
- Insect Science 63
Countries citing papers authored by Michael J. Bertram
This map shows the geographic impact of Michael J. Bertram'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 J. Bertram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Bertram more than expected).
Fields of papers citing papers by Michael J. Bertram
This network shows the impact of papers produced by Michael J. Bertram. 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 J. Bertram. The network helps show where Michael J. Bertram may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Bertram, 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 | 1999 | 129 | |
| 2 | 1996 | 113 | |
| 3 | 1997 | 97 | |
| 4 | 2001 | 78 | |
| 5 | 1992 | 76 | |
| 6 | 1985 | 33 | |
| 7 | 1999 | 32 | |
| 8 | 1999 | 10 | |
| 9 | Genetic and functional analyses exclude mortality factor 4 (MORF4) as a keratinocyte senescence gene. | 1999 | 9 |
About Michael J. Bertram
Michael J. Bertram is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience, Physiology and Immunology, having authored 9 papers that have together received 577 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (3 papers), Neurobiology and Insect Physiology Research (3 papers), Animal Behavior and Reproduction (3 papers), Epigenetics and DNA Methylation (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Aging (38 citations), Ecology, Evolution, Behavior and Systematics (181 citations), Genetics (217 citations), Cellular and Molecular Neuroscience (126 citations) and Insect Science (63 citations). Michael J. Bertram has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Olivia M. Pereira‐Smith, Deborah M. Neubaum, Nathalie G. Bérubé, Geetanjali A. Akerkar, Cayetano González, James R. Smith, V. v. Bülow, Kevin W. Kraus, Mariana F. Wolfner and Uyen Tram. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Gene, Genomics, Mechanisms of Development and Molecular and Cellular 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.