G. E. J. Staal
Impact in
- Biochemistry top 5%
- Sulfur Compounds in Biology
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 8
- Physiology 18
- Erythrocyte Function and Pathophysiology 14
- Co-authors
- C. Veeger (1 shared paper)Jaap Visser (1 shared paper)Gert Rijksen (19 shared papers)A. Hennipman (3 shared papers)J.F. Koster (2 shared papers)J.M.M. Smits (2 shared papers)Gerrit Jansen (4 shared papers)R.G. Slee (1 shared paper)
- Journals
- Blood (6 papers)Tumor Biology (6 papers)Acta Neurochirurgica (2 papers)Human Genetics (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- NetherlandsHungaryUnited States
In The Last Decade
G. E. J. Staal
37 papers receiving 778 citations
Peers
Comparison fields: 5 of 86
- Biochemistry 98
- Cancer Research 189
- Physiology 241
- Cell Biology 96
- Pediatrics, Perinatology and Child Health 113
Countries citing papers authored by G. E. J. Staal
This map shows the geographic impact of G. E. J. Staal'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 G. E. J. Staal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. E. J. Staal more than expected).
Fields of papers citing papers by G. E. J. Staal
This network shows the impact of papers produced by G. E. J. Staal. 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 G. E. J. Staal. The network helps show where G. E. J. Staal may publish in the future.
Co-authors
The 25 scholars most cited alongside G. E. J. Staal, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1969 | 331 | |
| 2 | 1987 | 52 | |
| 3 | 1988 | 49 | |
| 4 | 1972 | 42 | |
| 5 | Isozymes of pyruvate kinase from human brain, meningiomas, and malignant gliomas. | 1978 | 39 |
| 6 | 1983 | 32 | |
| 7 | 1978 | 31 | |
| 8 | 1984 | 30 | |
| 9 | 1988 | 26 | |
| 10 | 1982 | 21 | |
| 11 | 1972 | 20 | |
| 12 | 1991 | 20 | |
| 13 | 1975 | 20 | |
| 14 | 1984 | 19 | |
| 15 | 1975 | 12 | |
| 16 | 1989 | 10 | |
| 17 | 1984 | 10 | |
| 18 | 1984 | 9 | |
| 19 | 1978 | 8 | |
| 20 | 1982 | 7 |
About G. E. J. Staal
G. E. J. Staal is a scholar working on Molecular Biology, Physiology, Cancer Research, Pediatrics, Perinatology and Child Health and Surgery, having authored 40 papers that have together received 835 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (14 papers), Cancer, Hypoxia, and Metabolism (11 papers), Pancreatic function and diabetes (9 papers), Neonatal Health and Biochemistry (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Hemoglobin structure and function (7 papers), Hemoglobinopathies and Related Disorders (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Biochemistry (98 citations), Cancer Research (189 citations), Physiology (241 citations), Cell Biology (96 citations) and Pediatrics, Perinatology and Child Health (113 citations). G. E. J. Staal has collaborated with scholars based in Netherlands, Hungary and United States. Frequent co-authors include C. Veeger, Jaap Visser, Gert Rijksen, A. Hennipman, J.F. Koster, J.M.M. Smits, Gerrit Jansen, R.G. Slee, H Verbiest and Th.J.C. van Berkel. Their work appears in journals such as Blood, Tumor Biology, Acta Neurochirurgica, Human Genetics and Journal of Clinical Investigation.
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.