Michael J. Muehlbauer
- Physiology top 0.2%
- Diet and metabolism studies 46
- Adipose Tissue and Metabolism 35
- Molecular Biology top 1%
- Metabolomics and Mass Spectrometry Studies 43
- Clinical Biochemistry top 0.5%
- Biological Psychiatry top 2%
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- Genetic Syndromes and Imprinting 12
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- Muscle metabolism and nutrition 12
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- Birth, Development, and Health 12
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- Gestational Diabetes Research and Management 12
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- Pancreatic function and diabetes 12
- Co-authors
- Christopher B. NewgardJames R. BainSvati H. ShahOlga IlkayevaBrett R. WennerCris A. SlentzLaura P. SvetkeyAndrea M. Haqq
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Circulation (5 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael J. Muehlbauer
144 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Physiology 4.8k
- Molecular Biology 6.0k
- Clinical Biochemistry 534
- Endocrine and Autonomic Systems 477
- Biological Psychiatry 165
Countries citing papers authored by Michael J. Muehlbauer
This map shows the geographic impact of Michael J. Muehlbauer'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. Muehlbauer 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. Muehlbauer more than expected).
Fields of papers citing papers by Michael J. Muehlbauer
This network shows the impact of papers produced by Michael J. Muehlbauer. 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. Muehlbauer. The network helps show where Michael J. Muehlbauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael J. Muehlbauer, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 15 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 20 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 14 | |
| 13 | 2020 | 32 | |
| 14 | 2020 | 9 | |
| 15 | 2018 | 18 | |
| 16 | 2017 | 83 | |
| 17 | 2016 | 202 | |
| 18 | 2009 | 193 | |
| 19 | Abstract 1261: Plasma Metabolomic Profiles Predict Future Cardiovascular Events | 2009 | 1 |
| 20 | 2008 | 93 |
About Michael J. Muehlbauer
Michael J. Muehlbauer is a scholar working on Physiology, Obstetrics and Gynecology and Clinical Biochemistry, having authored 153 papers that have together received 10.7k indexed citations. Recurring topics across this work include Diet and metabolism studies (46 papers), Metabolomics and Mass Spectrometry Studies (43 papers), Adipose Tissue and Metabolism (35 papers), Genetic Syndromes and Imprinting (12 papers), Muscle metabolism and nutrition (12 papers), Birth, Development, and Health (12 papers), Gestational Diabetes Research and Management (12 papers) and Pancreatic function and diabetes (12 papers). The work is most often cited by research in Physiology (4.8k citations), Molecular Biology (6.0k citations) and Clinical Biochemistry (534 citations). Michael J. Muehlbauer has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Christopher B. Newgard, James R. Bain, Svati H. Shah, Olga Ilkayeva, Brett R. Wenner, Cris A. Slentz, Laura P. Svetkey, Andrea M. Haqq, Robert D. Stevens and William E. Kraus. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.