E. Schram
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Biopolymer Synthesis and Applications 2
-
- 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)David Baldwin (1 shared paper)G. Marbaix (1 shared paper)G. Huez (1 shared paper)Arsène Burny (1 shared paper)
In The Last Decade
E. Schram
14 papers receiving 726 citations
E. Schram's Hit Papers
Peers
Comparison fields: 5 of 113
- Biochemistry 89
- Clinical Biochemistry 68
- Animal Science and Zoology 86
- Cell Biology 123
- Molecular Biology 381
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 | 674 |
| 2 | 1953 | 79 | |
| 3 | 1979 | 57 | |
| 4 | 1957 | 24 | |
| 5 | 1957 | 16 | |
| 6 | 1959 | 15 | |
| 7 | 1966 | 14 | |
| 8 | 1953 | 14 | |
| 9 | [Determination of N-carbamoyl derivatives of amino acids by diacetylmonoxime]. | 1958 | 9 |
| 10 | Respiratory profiles of grain handlers and sedentary workers. | 1981 | 7 |
| 11 | 1967 | 6 | |
| 12 | 1987 | 5 | |
| 13 | [Chromatographic determination of the amino acids in barley seeds, hay and linseed cake]. | 1953 | 3 |
| 14 | 1986 | 2 | |
| 15 | [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 Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 927 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), Analytical Chemistry and Sensors (1 paper), Folate and B Vitamins Research (1 paper), Inflammatory mediators and NSAID effects (1 paper), Aluminum toxicity and tolerance in plants and animals (1 paper) and Prenatal Substance Exposure Effects (1 paper). The work is most often cited by research in Biochemistry (89 citations), Clinical Biochemistry (68 citations), Animal Science and Zoology (86 citations), Cell Biology (123 citations) and Molecular Biology (381 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, Pierre Soupart, David Baldwin, G. Marbaix, G. Huez, Arsène Burny, F. A. Herbert and M Cloarec. Their work appears in journals such as Analytica Chimica Acta, Clinical Chemistry, Advances in clinical chemistry, European Journal of Biochemistry 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.