Richard van Wijk

5.1k total citations
135 papers, 2.9k citations indexed

About

Richard van Wijk is a scholar working on Physiology, Hematology and Genetics. According to data from OpenAlex, Richard van Wijk has authored 135 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Physiology, 60 papers in Hematology and 59 papers in Genetics. Recurrent topics in Richard van Wijk's work include Erythrocyte Function and Pathophysiology (103 papers), Hemoglobinopathies and Related Disorders (57 papers) and Blood groups and transfusion (34 papers). Richard van Wijk is often cited by papers focused on Erythrocyte Function and Pathophysiology (103 papers), Hemoglobinopathies and Related Disorders (57 papers) and Blood groups and transfusion (34 papers). Richard van Wijk collaborates with scholars based in Netherlands, United States and Germany. Richard van Wijk's co-authors include Wouter W. van Solinge, Raymond M. Schiffelers, Lars Kaestner, Rick Huisjes, Eduard J. van Beers, Anna Bogdanova, Karen M. K. de Vooght, Brigitte A. van Oirschot, Marije Bartels and Marcel H.A.M. Fens and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Richard van Wijk

130 papers receiving 2.8k citations

Peers

Richard van Wijk
Theodosia A. Kalfa United States
Robert S. Franco United States
Clinton H. Joiner United States
Yoshihito Yawata Japan
Bruce H. Davis United States
Seiji Fukuda Japan
Stefano Duga Italy
Dhananjay K. Kaul United States
L. Michael Snyder United States
Tadakazu Kondo Japan
Theodosia A. Kalfa United States
Richard van Wijk
Citations per year, relative to Richard van Wijk Richard van Wijk (= 1×) peers Theodosia A. Kalfa

Countries citing papers authored by Richard van Wijk

Since Specialization
Citations

This map shows the geographic impact of Richard van Wijk'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 Richard van Wijk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard van Wijk more than expected).

Fields of papers citing papers by Richard van Wijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard van Wijk. 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 Richard van Wijk. The network helps show where Richard van Wijk may publish in the future.

Co-authorship network of co-authors of Richard van Wijk

This figure shows the co-authorship network connecting the top 25 collaborators of Richard van Wijk. A scholar is included among the top collaborators of Richard van Wijk 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 Richard van Wijk. Richard van Wijk 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.
Oirschot, Brigitte A. van, Judith Jans, Megan Wind‐Rotolo, et al.. (2025). Ex vivo activation of pyruvate kinase improves red blood cell metabolism and hydration in hereditary spherocytosis. 1(1). 100005–100005.
2.
Levine, Charles, Anita W. Rijneveld, Judith Jans, et al.. (2025). Red blood cell pyruvate kinase properties in Townes and Berkeley sickle cell disease mouse models – Of mice and men. Blood Cells Molecules and Diseases. 111. 102909–102909.
3.
Hakonen, Anna H., Ulla Wartiovaara‐Kautto, Sakari Kakko, et al.. (2024). Biallelic hexokinase 1 (HK1) variants causative of non‐spherocytic haemolytic anaemia: A case series with emphasis on the HK1 promoter variant and literature review. British Journal of Haematology. 204(5). 2040–2048.
4.
5.
Wijk, Richard van, et al.. (2024). Glucose phosphate isomerase deficiency demasked by whole-genome sequencing: a case report. Journal of Medical Case Reports. 18(1). 130–130.
6.
Rab, Minke A.E., Brigitte A. van Oirschot, Anita W. Rijneveld, et al.. (2023). One-year safety and efficacy of mitapivat in sickle cell disease: follow-up results of a phase 2, open-label study. Blood Advances. 7(24). 7539–7550. 8 indexed citations
7.
Rab, Minke A.E., Camille Boisson, Brigitte A. van Oirschot, et al.. (2023). Oxygen gradient ektacytometry–derived biomarkers are associated with acute complications in sickle cell disease. Blood Advances. 8(2). 276–286. 5 indexed citations
8.
Solinge, Wouter W. van, Eduard J. van Beers, Marije Bartels, et al.. (2023). Novel Biomarkers for Assessing Clinical Severity in Hereditary Spherocytosis - Application of Routine and Advanced Diagnostic Tests. Blood. 142(Supplement 1). 2453–2453. 1 indexed citations
9.
Darras, Alexis, Thomas John, Greta Simionato, et al.. (2023). Effect of Cell Age and Membrane Rigidity on Red Blood Cell Shape in Capillary Flow. Cells. 12(11). 1529–1529. 7 indexed citations
10.
Kia, Sima Kheradmand, Niklas Dahl, Odile Fenneteau, et al.. (2022). GATA-1 Defects in Diamond–Blackfan Anemia: Phenotypic Characterization Points to a Specific Subset of Disease. Genes. 13(3). 447–447. 12 indexed citations
11.
Wijk, Richard van, et al.. (2022). Hereditary spherocytosis without pronounced spherocytes on the peripheral blood smear. International Journal of Laboratory Hematology. 45(1). 6–8. 1 indexed citations
12.
Kerkhoffs, Jean‐Louis, Saskia E.M. Schols, Anita W. Rijneveld, et al.. (2022). Proton pump inhibition for secondary hemochromatosis in hereditary anemia: a phase III placebo‐controlled randomized cross‐over clinical trial. American Journal of Hematology. 97(7). 924–932. 8 indexed citations
13.
Boisson, Camille, Céline Renoux, Élie Nader, et al.. (2021). Comparisons of oxygen gradient ektacytometry parameters between sickle cell patients with or without α‐thalassaemia. British Journal of Haematology. 195(4). 629–633. 3 indexed citations
14.
Huisjes, Rick, Brigitte A. van Oirschot, Wouter W. van Solinge, et al.. (2021). Ektacytometry Analysis of Post-splenectomy Red Blood Cell Properties Identifies Cell Membrane Stability Test as a Novel Biomarker of Membrane Health in Hereditary Spherocytosis. Frontiers in Physiology. 12. 641384–641384. 8 indexed citations
15.
Straaten, Stephanie van, Marc Bierings, Paola Bianchi, et al.. (2017). STEM CELL TRANSPLANTATION IN PYRUVATE KINASE DEFICIENCY. Haematologica. 102. 164–165. 1 indexed citations
16.
Camps, Carlos, Nayia Petousi, Celeste Bento, et al.. (2016). Gene panel sequencing improves the diagnostic work-up of patients with idiopathic erythrocytosis and identifies new mutations. Haematologica. 101(11). 1306–1318. 64 indexed citations
17.
Alaarg, Amr, Raymond M. Schiffelers, Wouter W. van Solinge, & Richard van Wijk. (2013). Red blood cell vesiculation in hereditary hemolytic anemia. Frontiers in Physiology. 4. 365–365. 84 indexed citations
18.
Corrons, Joan‐Lluís Vives, et al.. (2013). First description of phosphofructokinase deficiency in spain: identification of a novel homozygous missense mutation in the PFKM gene. Frontiers in Physiology. 4. 393–393. 9 indexed citations
19.
Vastert, Sebastiaan J., Richard van Wijk, Leila Emma D’Urbano, et al.. (2009). Mutations in the perforin gene can be linked to macrophage activation syndrome in patients with systemic onset juvenile idiopathic arthritis. Lara D. Veeken. 49(3). 441–449. 165 indexed citations
20.
Rijksen, Gert, et al.. (2001). Mutations in the human pyruvate kinase gene leading to pyruvate kinase deficiency, in the Netherlands.. Data Archiving and Networked Services (DANS). 2 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.

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