Philip J. Snodgrass
- Clinical Biochemistry top 0.5%
- Molecular Biology
- Biochemistry top 2%
- Physiology
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Stephen J. CurtisG. Robert DeLongEllen S. KangReneé C. LinPark S. GeraldBert L. ValléeThomas GelehrterLeón E. Rosenberg
- Topics
- Metabolism and Genetic Disorders (23 papers)Amino Acid Enzymes and Metabolism (7 papers)Neonatal Health and Biochemistry (6 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Philip J. Snodgrass
31 papers receiving 877 citations
Peers
Comparison fields: 5 of 98
- Clinical Biochemistry 499
- Molecular Biology 404
- Biochemistry 224
- Physiology 149
- Pediatrics, Perinatology and Child Health 127
Countries citing papers authored by Philip J. Snodgrass
This map shows the geographic impact of Philip J. Snodgrass'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 Philip J. Snodgrass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Snodgrass more than expected).
Fields of papers citing papers by Philip J. Snodgrass
This network shows the impact of papers produced by Philip J. Snodgrass. 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 Philip J. Snodgrass. The network helps show where Philip J. Snodgrass may publish in the future.
Co-authorship network of co-authors of Philip J. Snodgrass
This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Snodgrass. A scholar is included among the top collaborators of Philip J. Snodgrass 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 Philip J. Snodgrass. Philip J. Snodgrass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 20 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 48 | |
| 7 | 21 | |
| 8 | 25 | |
| 9 | 18 | |
| 10 | 72 | |
| 11 | Neonatal argininosuccinic aciduria with normal brain and kidney but absent liver argininosuccinate lyase activity. | 30 |
| 12 | 37 | |
| 13 | 97 | |
| 14 | Serum enzymes derived from liver cell fractions. I. The response to carbon tetrachloride intoxication in rats. | 73 |
| 15 | 46 | |
| 16 | 53 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 42 | |
| 20 | 39 |
About Philip J. Snodgrass
Philip J. Snodgrass is a scholar working on Clinical Biochemistry, Biochemistry and Pediatrics, Perinatology and Child Health, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (23 papers), Amino Acid Enzymes and Metabolism (7 papers) and Neonatal Health and Biochemistry (6 papers). The work is most often cited by research in Clinical Biochemistry (499 citations), Biochemistry (224 citations) and Pharmacology (114 citations). Philip J. Snodgrass has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stephen J. Curtis, G. Robert DeLong, Ellen S. Kang, Reneé C. Lin, Park S. Gerald, Bert L. Vallée, Thomas Gelehrter, León E. Rosenberg, A. G. M. Campbell and Harold O. Conn. Their work appears in journals such as Science, New England Journal of Medicine and JAMA.
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.