E. Schram
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
Papers in
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- Biopolymer Synthesis and Applications 2
- Protein purification and stability 1
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- Analytical Chemistry and Chromatography 3
- Co-authors
- E. J. Bigwood (4 shared papers)Shannon J. Moore (3 shared papers)Frans Gorus (1 shared paper)David Baldwin (1 shared paper)F. A. Herbert (1 shared paper)G. Marbaix (1 shared paper)M Cloarec (2 shared papers)G. Huez (1 shared paper)
In The Last Decade
E. Schram
13 papers receiving 683 citations
E. Schram's Hit Papers
Peers
Comparison fields: 5 of 113
- Biochemistry 82
- Animal Science and Zoology 84
- Clinical Biochemistry 48
- Cell Biology 109
- Food Science 99
Countries citing papers authored by E. Schram
This map shows the geographic impact of E. 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 E. Schram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Schram more than expected).
Fields of papers citing papers by E. Schram
This network shows the impact of papers produced by E. 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 E. Schram. The network helps show where E. Schram may publish in the future.
Co-authors
The 10 scholars most cited alongside E. 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 | 654 |
| 2 | 1953 | 74 | |
| 3 | 1979 | 51 | |
| 4 | 1957 | 17 | |
| 5 | 1957 | 13 | |
| 6 | 1966 | 11 | |
| 7 | 1953 | 11 | |
| 8 | [Determination of N-carbamoyl derivatives of amino acids by diacetylmonoxime]. | 1958 | 9 |
| 9 | Respiratory profiles of grain handlers and sedentary workers. | 1981 | 6 |
| 10 | 1987 | 5 | |
| 11 | 1967 | 5 | |
| 12 | [Chromatographic determination of the amino acids in barley seeds, hay and linseed cake]. | 1953 | 3 |
| 13 | 1986 | 2 | |
| 14 | [Aminoaciduria and aminoacidemia]. | 1961 | 2 |
About E. Schram
E. Schram is a scholar working on Molecular Biology, Spectroscopy, Biochemistry, Pediatrics, Perinatology and Child Health and Organic Chemistry, having authored 14 papers that have together received 863 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Biopolymer Synthesis and Applications (2 papers), Potato Plant Research (1 paper), Analytical Chemistry and Sensors (1 paper), Synthesis and Characterization of Heterocyclic Compounds (1 paper), Protein purification and stability (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Biochemistry (82 citations), Animal Science and Zoology (84 citations), Clinical Biochemistry (48 citations), Cell Biology (109 citations) and Food Science (99 citations). E. Schram has collaborated with scholars based in Belgium, France and Spain. Frequent co-authors include E. J. Bigwood, Shannon J. Moore, Frans Gorus, David Baldwin, F. A. Herbert, G. Marbaix, M Cloarec, G. Huez, Pierre Soupart and Arsène Burny. Their work appears in journals such as Analytica Chimica Acta, Clinical Chemistry, European Journal of Biochemistry, Analytical Chemistry and Clinica Chimica Acta.
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.