Eric Schram
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
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- Amino Acid Enzymes and Metabolism 2
- Lipid metabolism and biosynthesis 1
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- Analytical Chemistry and Chromatography 3
- Co-authors
- E. J. Bigwood (5 shared papers)Shannon J. Moore (3 shared papers)Frans Gorus (1 shared paper)Pierre Soupart (2 shared papers)Arsène Burny (1 shared paper)David Baldwin (1 shared paper)G. Marbaix (1 shared paper)G. Huez (1 shared paper)
In The Last Decade
Eric Schram
14 papers receiving 709 citations
Eric Schram's Hit Papers
Peers
Comparison fields: 5 of 113
- Biochemistry 87
- Clinical Biochemistry 66
- Animal Science and Zoology 86
- Cell Biology 122
- Food Science 102
Countries citing papers authored by Eric Schram
This map shows the geographic impact of Eric Schram'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 Schram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Schram more than expected).
Fields of papers citing papers by Eric Schram
This network shows the impact of papers produced by Eric Schram. 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 Schram. The network helps show where Eric Schram may publish in the future.
Co-authors
The 10 scholars most cited alongside Eric Schram, 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 | Chromatographic determination of cystine as cysteic acid Hit paper breakdown → | 1954 | 668 |
| 2 | 1953 | 78 | |
| 3 | 1979 | 57 | |
| 4 | 1957 | 24 | |
| 5 | 1957 | 16 | |
| 6 | 1959 | 14 | |
| 7 | 1953 | 14 | |
| 8 | 1966 | 14 | |
| 9 | [Determination of N-carbamoyl derivatives of amino acids by diacetylmonoxime]. | 1958 | 9 |
| 10 | 1967 | 6 | |
| 11 | Respiratory profiles of grain handlers and sedentary workers. | 1981 | 6 |
| 12 | 1987 | 5 | |
| 13 | [Chromatographic determination of the amino acids in barley seeds, hay and linseed cake]. | 1953 | 3 |
| 14 | [Aminoaciduria and aminoacidemia]. | 1961 | 2 |
| 15 | 1986 | 2 |
About Eric Schram
Eric Schram is a scholar working on Biochemistry, Spectroscopy, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 15 papers that have together received 918 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (3 papers), Biopolymer Synthesis and Applications (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Lipid metabolism and biosynthesis (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Lipid Membrane Structure and Behavior (1 paper), Protein purification and stability (1 paper) and Aluminum toxicity and tolerance in plants and animals (1 paper). The work is most often cited by research in Biochemistry (87 citations), Clinical Biochemistry (66 citations), Animal Science and Zoology (86 citations), Cell Biology (122 citations) and Food Science (102 citations). Eric Schram has collaborated with scholars based in Belgium, France and Spain. Frequent co-authors include E. J. Bigwood, Shannon J. Moore, Frans Gorus, Pierre Soupart, Arsène Burny, David Baldwin, G. Marbaix, G. Huez, F. A. Herbert and M Cloarec. Their work appears in journals such as Analytica Chimica Acta, Advances in clinical chemistry, Clinical Chemistry, Clinica Chimica Acta 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.