Michael D. Neinast
- Molecular Biology top 10%
- Physiology top 2%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Cell Biology top 5%
- Co-authors
- Zoltàn AranyDanielle MurashigeJoshua D. RabinowitzCholsoon JangAlexis J. CowanJonathan J. EdwardsDavid S. FrankelMatthew C. Hyman
- Topics
- Adipose Tissue and Metabolism (16 papers)Metabolomics and Mass Spectrometry Studies (9 papers)Diet and metabolism studies (9 papers)
- Partner nations
- United StatesSouth KoreaChile
In The Last Decade
Michael D. Neinast
22 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.1k
- Physiology 997
- Epidemiology 361
- Cardiology and Cardiovascular Medicine 291
- Cell Biology 240
Countries citing papers authored by Michael D. Neinast
This map shows the geographic impact of Michael D. Neinast'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 D. Neinast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Neinast more than expected).
Fields of papers citing papers by Michael D. Neinast
This network shows the impact of papers produced by Michael D. Neinast. 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 D. Neinast. The network helps show where Michael D. Neinast may publish in the future.
Co-authorship network of co-authors of Michael D. Neinast
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Neinast. A scholar is included among the top collaborators of Michael D. Neinast 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 D. Neinast. Michael D. Neinast 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 | 1 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 27 | |
| 6 | 33 | |
| 7 | 55 | |
| 8 | 1 | |
| 9 | 116 | |
| 10 | 7 | |
| 11 | Comprehensive quantification of fuel use by the failing and nonfailing human heartbreakdown → | 367 |
| 12 | Quantitative Analysis of the Whole-Body Metabolic Fate of Branched-Chain Amino Acidsbreakdown → | 342 |
| 13 | 128 | |
| 14 | Branched Chain Amino Acidsbreakdown → | 479 |
| 15 | 16 | |
| 16 | 91 | |
| 17 | 51 | |
| 18 | 162 | |
| 19 | 44 | |
| 20 | 210 |
About Michael D. Neinast
Michael D. Neinast is a scholar working on Physiology, Biological Psychiatry and Cell Biology, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Diet and metabolism studies (9 papers). The work is most often cited by research in Physiology (997 citations), Endocrine and Autonomic Systems (136 citations) and Clinical Biochemistry (129 citations). Michael D. Neinast has collaborated with scholars based in United States, South Korea and Chile. Frequent co-authors include Zoltàn Arany, Danielle Murashige, Joshua D. Rabinowitz, Cholsoon Jang, Alexis J. Cowan, Jonathan J. Edwards, David S. Frankel, Matthew C. Hyman, Deborah J. Clegg and Qingwei Chu. Their work appears in journals such as Nature, Science and Cell.
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.