Michelle M. Wiest
- Epidemiology top 1%
- Molecular Biology top 5%
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Biochemistry top 0.5%
- Co-authors
- Steven M. WatkinsGökhan S. HotamışlıgilJared R. MayersOnpan CheungFaridoddin MirshahiMelissa J. ContosCarol SargeantPrem Puri
- Topics
- Metabolomics and Mass Spectrometry Studies (7 papers)Diet, Metabolism, and Disease (4 papers)Lipid metabolism and biosynthesis (4 papers)
- Journals
- CellNature MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Michelle M. Wiest
34 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Epidemiology 1.8k
- Molecular Biology 1.5k
- Physiology 909
- Endocrinology, Diabetes and Metabolism 862
- Biochemistry 595
Countries citing papers authored by Michelle M. Wiest
This map shows the geographic impact of Michelle M. Wiest'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 Michelle M. Wiest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle M. Wiest more than expected).
Fields of papers citing papers by Michelle M. Wiest
This network shows the impact of papers produced by Michelle M. Wiest. 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 Michelle M. Wiest. The network helps show where Michelle M. Wiest may publish in the future.
Co-authorship network of co-authors of Michelle M. Wiest
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle M. Wiest. A scholar is included among the top collaborators of Michelle M. Wiest 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 Michelle M. Wiest. Michelle M. Wiest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 50 | |
| 3 | 12 | |
| 4 | 28 | |
| 5 | 21 | |
| 6 | 20 | |
| 7 | 10 | |
| 8 | 14 | |
| 9 | 154 | |
| 10 | 21 | |
| 11 | The plasma lipidomic signature of nonalcoholic steatohepatitis†‡breakdown → | 521 |
| 12 | 407 | |
| 13 | 80 | |
| 14 | 16 | |
| 15 | 49 | |
| 16 | Identification of a Lipokine, a Lipid Hormone Linking Adipose Tissue to Systemic Metabolismbreakdown → | 882 |
| 17 | A lipidomic analysis of nonalcoholic fatty liver diseasebreakdown → | 1056 |
| 18 | 5 | |
| 19 | 18 | |
| 20 | 77 |
About Michelle M. Wiest
Michelle M. Wiest is a scholar working on Biochemistry, Equine and Psychiatry and Mental health, having authored 34 papers that have together received 3.9k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Diet, Metabolism, and Disease (4 papers) and Lipid metabolism and biosynthesis (4 papers). The work is most often cited by research in Biochemistry (595 citations), Epidemiology (1.8k citations) and Endocrinology, Diabetes and Metabolism (862 citations). Michelle M. Wiest has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Steven M. Watkins, Gökhan S. Hotamışlıgil, Jared R. Mayers, Onpan Cheung, Faridoddin Mirshahi, Melissa J. Contos, Carol Sargeant, Prem Puri, Arun J. Sanyal and Kristin A. Gerhold. Their work appears in journals such as Cell, Nature Medicine and SHILAP Revista de lepidopterología.
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.