Donald H. Chace
- Clinical Biochemistry top 0.05%
- Metabolism and Genetic Disorders 50
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- Neonatal Health and Biochemistry 33
- Biochemistry top 1%
- Physiology top 2%
- Diet and metabolism studies 7
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 20
- Metabolomics and Mass Spectrometry Studies 9
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- Infant Nutrition and Health 8
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- Mass Spectrometry Techniques and Applications 7
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- Neonatal Respiratory Health Research 5
- Co-authors
- Edwin W. NaylorSteven L HillmanDavid S. MillingtonStephen G. KahlerStephanie J. MihalikJerry VockleyCharles R. RoeNaoto Terada
- Journals
- Chemical Reviews (1 paper)SHILAP Revista de lepidopterología (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Donald H. Chace
72 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Clinical Biochemistry 2.7k
- Pediatrics, Perinatology and Child Health 1.3k
- Biochemistry 309
- Physiology 1.1k
- Molecular Biology 2.7k
Countries citing papers authored by Donald H. Chace
This map shows the geographic impact of Donald H. Chace'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 Donald H. Chace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald H. Chace more than expected).
Fields of papers citing papers by Donald H. Chace
This network shows the impact of papers produced by Donald H. Chace. 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 Donald H. Chace. The network helps show where Donald H. Chace may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donald H. Chace, 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 | 4 | |
| 2 | 2022 | 9 | |
| 3 | 2017 | 10 | |
| 4 | 2012 | 62 | |
| 5 | 2011 | 14 | |
| 6 | 2010 | 4 | |
| 7 | Increased Levels of Plasma Acylcarnitines in Obesity and Type 2 Diabetes and Identification of a Marker of Glucolipotoxicitybreakdown → | 2010 | 507 |
| 8 | 2010 | 13 | |
| 9 | 2009 | 28 | |
| 10 | 2009 | 28 | |
| 11 | 2008 | 5 | |
| 12 | 2006 | 20 | |
| 13 | 2006 | 3 | |
| 14 | 2005 | 10 | |
| 15 | 2005 | 125 | |
| 16 | 2005 | 18 | |
| 17 | 2001 | 180 | |
| 18 | 1994 | 16 | |
| 19 | 1990 | 14 | |
| 20 | 1990 | 9 |
About Donald H. Chace
Donald H. Chace is a scholar working on Clinical Biochemistry, Pediatrics, Perinatology and Child Health and Nutrition and Dietetics, having authored 73 papers that have together received 4.9k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (50 papers), Neonatal Health and Biochemistry (33 papers), Mitochondrial Function and Pathology (20 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Infant Nutrition and Health (8 papers), Diet and metabolism studies (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Clinical Biochemistry (2.7k citations), Pediatrics, Perinatology and Child Health (1.3k citations) and Biochemistry (309 citations). Donald H. Chace has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Edwin W. Naylor, Steven L Hillman, David S. Millington, Stephen G. Kahler, Stephanie J. Mihalik, Jerry Vockley, Charles R. Roe, Naoto Terada, L F Hofman and Bret H. Goodpaster. Their work appears in journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Analytical Chemistry.
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.