Michael J. Steinbaugh
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
-
- Genomics, phytochemicals, and oxidative stress 4
- Single-cell and spatial transcriptomics 2
- Histone Deacetylase Inhibitors Research 2
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- T. Keith Blackwell (5 shared papers)Meltem Isik (3 shared papers)John M Hourihan (2 shared papers)Collin Y. Ewald (1 shared paper)Liou Y. Sun (2 shared papers)Andrzej Bartke (2 shared papers)Richard A. Miller (2 shared papers)Francesco Limone (1 shared paper)
- Journals
- Cell Reports (2 papers)Free Radical Biology and Medicine (2 papers)eLife (2 papers)Molecular Cancer Therapeutics (1 paper)Cell Metabolism (1 paper)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Michael J. Steinbaugh
18 papers receiving 1.5k citations
Michael J. Steinbaugh's Hit Papers
Peers
Comparison fields: 5 of 95
- Aging 622
- Endocrine and Autonomic Systems 217
- Neurology 262
- Genetics 181
- Biological Psychiatry 41
Countries citing papers authored by Michael J. Steinbaugh
This map shows the geographic impact of Michael J. Steinbaugh'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. Steinbaugh 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. Steinbaugh more than expected).
Fields of papers citing papers by Michael J. Steinbaugh
This network shows the impact of papers produced by Michael J. Steinbaugh. 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. Steinbaugh. The network helps show where Michael J. Steinbaugh may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. Steinbaugh, 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 | 2015 | 437 | |
| 2 | ALS-implicated protein TDP-43 sustains levels of STMN2, a mediator of motor neuron growth and repair Hit paper breakdown → | 2019 | 345 |
| 3 | 2015 | 151 | |
| 4 | 2020 | 125 | |
| 5 | 2019 | 120 | |
| 6 | 2020 | 90 | |
| 7 | 2012 | 79 | |
| 8 | 2020 | 52 | |
| 9 | 2009 | 32 | |
| 10 | 2023 | 31 | |
| 11 | 2019 | 27 | |
| 12 | 2014 | 14 | |
| 13 | 2022 | 10 | |
| 14 | 2019 | 2 | |
| 15 | 2024 | 1 | |
| 16 | Supporting Single Cell RNA-seq Analysis at Harvard - A Community Approach | 2019 | 1 |
| 17 | 2019 | 1 | |
| 18 | 2017 | 1 |
About Michael J. Steinbaugh
Michael J. Steinbaugh is a scholar working on Molecular Biology, Aging, Endocrine and Autonomic Systems, Physiology and Cell Biology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Circadian rhythm and melatonin (3 papers), Single-cell and spatial transcriptomics (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Adipose Tissue and Metabolism (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Aging (622 citations), Endocrine and Autonomic Systems (217 citations), Neurology (262 citations), Genetics (181 citations) and Biological Psychiatry (41 citations). Michael J. Steinbaugh has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include T. Keith Blackwell, Meltem Isik, John M Hourihan, Collin Y. Ewald, Liou Y. Sun, Andrzej Bartke, Richard A. Miller, Francesco Limone, Irune Guerra San Juan and Joseph R. Klim. Their work appears in journals such as Cell Reports, Free Radical Biology and Medicine, eLife, Molecular Cancer Therapeutics and Cell Metabolism.
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.