Eric S. Schmitt
Impact in
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
Papers in
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- Metabolism and Genetic Disorders 17
-
- Aging and Gerontology Research 7
- Co-authors
- Lee‐Jun C. Wong (15 shared papers)Andreas Kruse (13 shared papers)William James Craigen (8 shared papers)Mary A. Schuler (1 shared paper)Roger N. Beachy (1 shared paper)David Dimmock (3 shared papers)Lee-Jun C. Wong (7 shared papers)Lin-ya Tang (3 shared papers)
- Journals
- Molecular Genetics and Metabolism (10 papers)Genetics in Medicine (7 papers)Human Mutation (6 papers)Mitochondrion (2 papers)Obstetrical & Gynecological Survey (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Eric S. Schmitt
74 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 132
- Clinical Biochemistry 657
- Neuropsychology and Physiological Psychology 78
- Sensory Systems 125
- Molecular Biology 1.4k
- Genetics 400
Countries citing papers authored by Eric S. Schmitt
This map shows the geographic impact of Eric S. Schmitt'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 Eric S. Schmitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Schmitt more than expected).
Fields of papers citing papers by Eric S. Schmitt
This network shows the impact of papers produced by Eric S. Schmitt. 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 Eric S. Schmitt. The network helps show where Eric S. Schmitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric S. Schmitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 252 | |
| 2 | 2019 | 188 | |
| 3 | 2008 | 143 | |
| 4 | 2010 | 114 | |
| 5 | 2007 | 108 | |
| 6 | 1982 | 96 | |
| 7 | 2013 | 80 | |
| 8 | 2009 | 77 | |
| 9 | 2018 | 76 | |
| 10 | 2008 | 75 | |
| 11 | 2017 | 72 | |
| 12 | 2007 | 70 | |
| 13 | 2006 | 64 | |
| 14 | 2010 | 62 | |
| 15 | 2014 | 61 | |
| 16 | 2006 | 50 | |
| 17 | 2020 | 46 | |
| 18 | 2020 | 46 | |
| 19 | 2009 | 44 | |
| 20 | 2010 | 44 |
About Eric S. Schmitt
Eric S. Schmitt is a scholar working on Clinical Biochemistry, Neuropsychology and Physiological Psychology, Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (17 papers), Mitochondrial Function and Pathology (14 papers), Aging and Gerontology Research (7 papers), Genomic variations and chromosomal abnormalities (6 papers), Plant and animal studies (6 papers), Biochemical and Molecular Research (5 papers), Genomics and Rare Diseases (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Clinical Biochemistry (657 citations), Neuropsychology and Physiological Psychology (78 citations), Sensory Systems (125 citations), Molecular Biology (1.4k citations) and Genetics (400 citations). Eric S. Schmitt has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Lee‐Jun C. Wong, Andreas Kruse, William James Craigen, Mary A. Schuler, Roger N. Beachy, David Dimmock, Lee-Jun C. Wong, Lin-ya Tang, Ayman W. El‐Hattab and Jing Wang. Their work appears in journals such as Molecular Genetics and Metabolism, Genetics in Medicine, Human Mutation, Mitochondrion and Obstetrical & Gynecological Survey.
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.