Eric E. Snyder
Impact in
-
- Regulation of Appetite and Obesity
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
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- Genomics and Phylogenetic Studies 6
- RNA and protein synthesis mechanisms 3
- Machine Learning in Bioinformatics 2
- Genetics 8
- Genetic Mapping and Diversity in Plants and Animals 4
- Genetic Associations and Epidemiology 4
- Co-authors
- Claude Bouchard (7 shared papers)Marie‐Christine Chagnon (6 shared papers)Louis Përusse (5 shared papers)Tuomo Rankinen (5 shared papers)S. John Weisnagel (3 shared papers)Gary D. Stormo (1 shared paper)Brandon Walts (2 shared papers)Bruno Sobral (4 shared papers)
- Journals
- Biochemistry (3 papers)Nucleic Acids Research (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Journal of Bacteriology (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Eric E. Snyder
19 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 138
- Endocrine and Autonomic Systems 467
- Physiology 545
- Parasitology 134
- Nutrition and Dietetics 314
- Genetics 557
Countries citing papers authored by Eric E. Snyder
This map shows the geographic impact of Eric E. Snyder'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 E. Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric E. Snyder more than expected).
Fields of papers citing papers by Eric E. Snyder
This network shows the impact of papers produced by Eric E. Snyder. 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 E. Snyder. The network helps show where Eric E. Snyder may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric E. Snyder, 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 | 2010 | 274 | |
| 2 | 2004 | 240 | |
| 3 | 2005 | 234 | |
| 4 | 2003 | 177 | |
| 5 | 2001 | 174 | |
| 6 | 2008 | 155 | |
| 7 | 1995 | 145 | |
| 8 | 1993 | 134 | |
| 9 | 2002 | 130 | |
| 10 | 1997 | 106 | |
| 11 | 1990 | 102 | |
| 12 | 1995 | 98 | |
| 13 | 2002 | 94 | |
| 14 | 2001 | 82 | |
| 15 | 1991 | 48 | |
| 16 | 2003 | 31 | |
| 17 | 2007 | 13 | |
| 18 | 2005 | 1 | |
| 19 | 1990 | 1 |
About Eric E. Snyder
Eric E. Snyder is a scholar working on Molecular Biology, Genetics, Physiology, Surgery and Endocrine and Autonomic Systems, having authored 19 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Adipose Tissue and Metabolism (6 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetic Associations and Epidemiology (4 papers), RNA and protein synthesis mechanisms (3 papers), Pancreatic function and diabetes (2 papers), Machine Learning in Bioinformatics (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (467 citations), Physiology (545 citations), Parasitology (134 citations), Nutrition and Dietetics (314 citations) and Genetics (557 citations). Eric E. Snyder has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Claude Bouchard, Marie‐Christine Chagnon, Louis Përusse, Tuomo Rankinen, S. John Weisnagel, Gary D. Stormo, Gary D. Stormo, Brandon Walts, Bruno Sobral and Joshua M. Shallom. Their work appears in journals such as Biochemistry, Nucleic Acids Research, The Journal of Clinical Endocrinology & Metabolism, Journal of Bacteriology and Journal of Molecular Biology.
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.