S. Rapoport
Impact in
- Biochemistry top 0.5%
- Eicosanoids and Hypertension Pharmacology
- Cell Biology top 1%
- Hemoglobin structure and function
Papers in
-
- Mitochondrial Function and Pathology 16
- Physiology 71
- Erythrocyte Function and Pathophysiology 49
- Co-authors
- T Schewe (29 shared papers)Tom A. Rapoport (8 shared papers)R. Heinrich (7 shared papers)G Jacobasch (15 shared papers)Hartmut Kühn (13 shared papers)Reinhart Heinrich (4 shared papers)P. Ludwig (10 shared papers)W. Halangk (3 shared papers)
- Journals
- European Journal of Biochemistry (36 papers)FEBS Letters (22 papers)Die Naturwissenschaften (10 papers)Nature (6 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
S. Rapoport
190 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 142
- Biochemistry 715
- Cell Biology 974
- Physiology 1.5k
- Clinical Biochemistry 310
- Molecular Biology 2.7k
Countries citing papers authored by S. Rapoport
This map shows the geographic impact of S. Rapoport'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 S. Rapoport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Rapoport more than expected).
Fields of papers citing papers by S. Rapoport
This network shows the impact of papers produced by S. Rapoport. 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 S. Rapoport. The network helps show where S. Rapoport may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Rapoport, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 390 | |
| 2 | 1979 | 239 | |
| 3 | Cellular and molecular biology of erythrocytes | 1974 | 203 |
| 4 | 1982 | 181 | |
| 5 | 1975 | 171 | |
| 6 | 1974 | 167 | |
| 7 | 1964 | 157 | |
| 8 | 1976 | 151 | |
| 9 | 1986 | 144 | |
| 10 | 1985 | 143 | |
| 11 | 1986 | 122 | |
| 12 | The regulation of glycolysis in mammalian erythrocytes. | 1968 | 106 |
| 13 | 1974 | 103 | |
| 14 | 1987 | 94 | |
| 15 | 1989 | 83 | |
| 16 | 1951 | 82 | |
| 17 | 1985 | 77 | |
| 18 | 1986 | 77 | |
| 19 | 1984 | 73 | |
| 20 | 1973 | 72 |
About S. Rapoport
S. Rapoport is a scholar working on Molecular Biology, Physiology, Clinical Biochemistry, Cell Biology and Biochemistry, having authored 196 papers that have together received 5.1k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (49 papers), Metabolism and Genetic Disorders (27 papers), Hemoglobin structure and function (22 papers), Pancreatic function and diabetes (19 papers), Mitochondrial Function and Pathology (16 papers), Cancer, Hypoxia, and Metabolism (15 papers), Amino Acid Enzymes and Metabolism (12 papers) and Neonatal Health and Biochemistry (9 papers). The work is most often cited by research in Biochemistry (715 citations), Cell Biology (974 citations), Physiology (1.5k citations), Clinical Biochemistry (310 citations) and Molecular Biology (2.7k citations). S. Rapoport has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include T Schewe, Tom A. Rapoport, R. Heinrich, G Jacobasch, Hartmut Kühn, Reinhart Heinrich, P. Ludwig, W. Halangk, Jennifer M. Bailey and Robert W. Bryant. Their work appears in journals such as European Journal of Biochemistry, FEBS Letters, Die Naturwissenschaften, Nature and Journal of Biological 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.