George G. Schweitzer
- Biochemistry top 5%
- Lipid metabolism and biosynthesis 7
- Physiology top 5%
- Adipose Tissue and Metabolism 8
- Diet and metabolism studies 5
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 6
- Cell Biology top 10%
- Muscle metabolism and nutrition 5
- Endoplasmic Reticulum Stress and Disease 4
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- Metabolism, Diabetes, and Cancer 6
- Mitochondrial Function and Pathology 5
- Co-authors
- Gregory D. CarteeSamuel KleinBrian N. FinckGordon I. SmithJoseph W. BealsBruce W. PattersonMarc K. HellersteinTyler Field
- Journals
- Journal of Clinical Investigation (1 paper)The Journal of Immunology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
George G. Schweitzer
33 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 377
- Biochemistry 161
- Physiology 567
- Epidemiology 577
- Cell Biology 190
Countries citing papers authored by George G. Schweitzer
This map shows the geographic impact of George G. Schweitzer'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 George G. Schweitzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George G. Schweitzer more than expected).
Fields of papers citing papers by George G. Schweitzer
This network shows the impact of papers produced by George G. Schweitzer. 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 George G. Schweitzer. The network helps show where George G. Schweitzer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George G. Schweitzer, 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 | 2023 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 33 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 13 | |
| 6 | Insulin resistance drives hepatic de novo lipogenesis in nonalcoholic fatty liver diseasebreakdown → | 2019 | 534 |
| 7 | 2019 | 27 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 25 | |
| 11 | 2017 | 14 | |
| 12 | 2015 | 31 | |
| 13 | 2014 | 82 | |
| 14 | 2011 | 10 | |
| 15 | 2010 | 9 | |
| 16 | 2009 | 5 | |
| 17 | 2009 | 24 | |
| 18 | 2009 | 98 | |
| 19 | 2007 | 20 | |
| 20 | 2005 | 15 |
About George G. Schweitzer
George G. Schweitzer is a scholar working on Biochemistry, Cell Biology and Physiology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Lipid metabolism and biosynthesis (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Mitochondrial Function and Pathology (5 papers), Muscle metabolism and nutrition (5 papers), Diet and metabolism studies (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (377 citations), Biochemistry (161 citations) and Physiology (567 citations). George G. Schweitzer has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Gregory D. Cartee, Samuel Klein, Brian N. Finck, Gordon I. Smith, Joseph W. Beals, Bruce W. Patterson, Marc K. Hellerstein, Tyler Field, Mahalakshmi Shankaran and Edna Nyangau. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.
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.