G.E.J. Staal

3.4k total citations
129 papers, 2.8k citations indexed

About

G.E.J. Staal is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, G.E.J. Staal has authored 129 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 40 papers in Physiology and 30 papers in Surgery. Recurrent topics in G.E.J. Staal's work include Erythrocyte Function and Pathophysiology (34 papers), Biochemical and Molecular Research (28 papers) and Pancreatic function and diabetes (28 papers). G.E.J. Staal is often cited by papers focused on Erythrocyte Function and Pathophysiology (34 papers), Biochemical and Molecular Research (28 papers) and Pancreatic function and diabetes (28 papers). G.E.J. Staal collaborates with scholars based in Netherlands, United States and Hungary. G.E.J. Staal's co-authors include Gert Rijksen, A. Hennipman, C. Veeger, B.J.M. Zegers, J.F. Koster, David W. Martin, J. W. Stoop, Annemieke A. Michels, C.W.M. van Veelen and Amos Cohen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

G.E.J. Staal

126 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G.E.J. Staal Netherlands 27 1.7k 690 504 423 386 129 2.8k
Gudrun Ihrke United States 22 1.2k 0.7× 430 0.6× 214 0.4× 857 2.0× 202 0.5× 32 2.3k
Gert Rijksen Netherlands 32 2.7k 1.6× 561 0.8× 174 0.3× 713 1.7× 626 1.6× 151 4.2k
Hyock Joo Kwon United States 21 1.7k 1.0× 728 1.1× 327 0.6× 539 1.3× 309 0.8× 26 3.3k
Edward B. Neufeld United States 27 1.6k 0.9× 906 1.3× 269 0.5× 619 1.5× 357 0.9× 55 3.7k
Ingo H. Engels Germany 19 1.9k 1.1× 786 1.1× 198 0.4× 257 0.6× 248 0.6× 23 2.7k
Joanna P. Davies United States 25 934 0.5× 1.2k 1.7× 474 0.9× 477 1.1× 165 0.4× 43 2.7k
Colvin M. Redman United States 39 1.5k 0.9× 1.5k 2.2× 422 0.8× 647 1.5× 90 0.2× 106 4.2k
Mark J. Evans United States 32 1.5k 0.9× 410 0.6× 264 0.5× 134 0.3× 276 0.7× 79 3.2k
Farhat L. Khanim United Kingdom 29 1.4k 0.8× 182 0.3× 348 0.7× 399 0.9× 349 0.9× 65 2.6k
Martin Sonenberg United States 28 1.2k 0.7× 343 0.5× 200 0.4× 157 0.4× 267 0.7× 110 2.9k

Countries citing papers authored by G.E.J. Staal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of G.E.J. Staal

This figure shows the co-authorship network connecting the top 25 collaborators of G.E.J. Staal. A scholar is included among the top collaborators of G.E.J. Staal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G.E.J. Staal. G.E.J. Staal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Staal, Frank J. T., Rob B. van der Luijt, Miranda R.M. Baert, et al.. (2002). A novel germline mutation of PTEN associated with brain tumours of multiple lineages. British Journal of Cancer. 86(10). 1586–1591. 29 indexed citations
2.
Verschuur, Hendrik P., et al.. (1995). Clinical relevance of protein‐tyrosine (De‐)phosphorylation in head and neck cancer. The Laryngoscope. 105(11). 1238–1244. 1 indexed citations
3.
Oirschot, Brigitte A. van, et al.. (1995). Protein tyrosine phosphatase activity as a diagnostic parameter in breast cancer. Breast Cancer Research and Treatment. 33(3). 245–256. 19 indexed citations
4.
Weernink, Paschal A. Oude, et al.. (1994). Functional interaction between the epidermal growth factor receptor and c‐Src kinase activity. FEBS Letters. 352(3). 296–300. 32 indexed citations
5.
Verschuur, Hendrik P., Gert Rijksen, Brigitte A. van Oirschot, et al.. (1994). Protein tyrosine (de-) phosphorylation in head and neck squamous cell carcinoma. European Archives of Oto-Rhino-Laryngology. 251(1). 12–16. 8 indexed citations
6.
Verdonck, Leo F., et al.. (1994). Protein kinase C is not involved in the cytotoxic action of 1-octadecyl-2-O-methyl-sn-glycerol-3-phosphocholine in HL-60 and K562 cells. Biochemical Pharmacology. 47(9). 1481–1488. 17 indexed citations
7.
Rijksen, Gert, et al.. (1992). Protein Tyrosine Kinases in Human Brain and Gliomas. Journal of Neurochemistry. 58(2). 554–561. 8 indexed citations
8.
Punt, Cornelis J.A., et al.. (1991). Partial characterization of protein tyrosine kinase activity in normal and leukemic human myeloid cells. Leukemia Research. 15(12). 1107–1116. 1 indexed citations
9.
Weernink, Paschal A. Oude, Gert Rijksen, & G.E.J. Staal. (1991). Phosphorylation of Pyruvate Kinase and Glycolytic Metabolism in Three Human Glioma Cell Lines. Tumor Biology. 12(6). 339–352. 10 indexed citations
10.
Rijksen, Gert, et al.. (1991). Cellular expression of K-type pyruvate kinase in normal and neoplastic human tissues. Cancer. 68(12). 2595–2601. 3 indexed citations
11.
Staal, G.E.J. & Gert Rijksen. (1991). The Role of Red Cell Aging in the Diagnosis of Glycolytic Enzyme Defects. Advances in experimental medicine and biology. 307. 239–249. 7 indexed citations
12.
Rijksen, Gert, et al.. (1990). Phosphofructokinase and pyruvate kinase in mouse embryonal carcinoma P19 cells in relation to growth and differentiation. Differentiation. 45(3). 199–205. 6 indexed citations
13.
Rijkers, Ger T., et al.. (1989). The Mechanism of Deoxyguanosine Mediated Toxicity in Proliferating Human Peripheral Blood T Lymphocytes. Advances in experimental medicine and biology. 253B. 281–284. 2 indexed citations
14.
Ouwerkerk, Ronald, et al.. (1989). Hexose monophosphate shunt activity in erythrocytes related to cell age. European Journal Of Haematology. 43(5). 441–447. 5 indexed citations
15.
Rijksen, Gert, et al.. (1989). A nonradioactive dot-blot assay for protein tyrosine kinase activity. Analytical Biochemistry. 182(1). 98–102. 14 indexed citations
16.
Werre, J. M., et al.. (1988). Vacuoles in red cells from splenectomized subjects originate during cell life: Association with glycosylated haemoglobin?. European Journal Of Haematology. 41(5). 482–488. 6 indexed citations
17.
Rijkers, Ger T., et al.. (1988). Expression of Deoxyadenosine and Deoxyguanosine Toxicity at Different Stages of Lymphocyte Activation. Scandinavian Journal of Immunology. 28(1). 87–93. 6 indexed citations
18.
Weernink, Paschal A. Oude, Gert Rijksen, & G.E.J. Staal. (1988). Production of a specific antibody against pyruvate kinase type M2 using a synthetic peptide. FEBS Letters. 236(2). 391–395. 4 indexed citations
19.
Veelen, C.W.M. van, Gert Rijksen, B. A. Van Ketel, & G.E.J. Staal. (1988). The Pyruvate Kinase Isoenzyme Shift in Human Gliomas: A potential marker in the treatment of gliomas. British Journal of Neurosurgery. 2(2). 257–263. 9 indexed citations
20.
Werre, J. M., et al.. (1988). Alterations in size, shape and osmotic behaviour of red cells after splenectomy: a study of their age dependence. British Journal of Haematology. 69(1). 71–80. 11 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026