Patrick Wijten

400 total citations
9 papers, 277 citations indexed

About

Patrick Wijten is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Patrick Wijten has authored 9 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Molecular Biology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Patrick Wijten's work include SARS-CoV-2 and COVID-19 Research (2 papers), Platelet Disorders and Treatments (2 papers) and Computational Drug Discovery Methods (2 papers). Patrick Wijten is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Platelet Disorders and Treatments (2 papers) and Computational Drug Discovery Methods (2 papers). Patrick Wijten collaborates with scholars based in Qatar, Netherlands and United Kingdom. Patrick Wijten's co-authors include Arjen Scholten, Albert J. R. Heck, Onno B. Bleijerveld, Mark Roest, Peter Pickkers, Tamar Tak, Kiki Tesselaar, José A. M. Borghans, Luke P. H. Leenen and Nienke Vrisekoop and has published in prestigious journals such as Blood, Arteriosclerosis Thrombosis and Vascular Biology and Frontiers in Microbiology.

In The Last Decade

Patrick Wijten

9 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Wijten Qatar	7	98	94	54	39	36	9	277
Marie‐Ange Eyraud France	10	112 1.1×	228 2.4×	53 1.0×	33 0.8×	28 0.8×	18	381
Charles‐Antoine Arthaud France	11	139 1.4×	240 2.6×	73 1.4×	31 0.8×	31 0.9×	21	428
Sydney K. Robinson United Kingdom	8	65 0.7×	71 0.8×	80 1.5×	33 0.8×	53 1.5×	13	304
Mara Oliveri Italy	9	111 1.1×	83 0.9×	124 2.3×	16 0.4×	35 1.0×	9	379
Lorenzo Iovino United States	10	86 0.9×	56 0.6×	71 1.3×	25 0.6×	82 2.3×	38	317
Zhengxu Sun China	6	90 0.9×	55 0.6×	181 3.4×	20 0.5×	49 1.4×	11	300
Erin Stevens United States	6	285 2.9×	72 0.8×	95 1.8×	13 0.3×	32 0.9×	7	475
Bridget Litts United States	9	91 0.9×	76 0.8×	107 2.0×	28 0.7×	69 1.9×	15	316
Fernanda G. Pereira Brazil	10	57 0.6×	63 0.7×	70 1.3×	12 0.3×	35 1.0×	24	262
Núria Amézaga Spain	10	204 2.1×	52 0.6×	126 2.3×	24 0.6×	48 1.3×	10	378

Countries citing papers authored by Patrick Wijten

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Wijten

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Wijten. 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 Patrick Wijten. The network helps show where Patrick Wijten may publish in the future.

Co-authorship network of co-authors of Patrick Wijten

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Wijten. A scholar is included among the top collaborators of Patrick Wijten 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 Patrick Wijten. Patrick Wijten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Wada, Ojima Z., Naim Rashid, Patrick Wijten, et al.. (2024). Evaluation of cell disruption methods for protein and coenzyme Q10 quantification in purple non-sulfur bacteria. Frontiers in Microbiology. 15. 1324099–1324099. 7 indexed citations

El‐Agnaf, Omar M. A., Maryam Al‐Nesf, James Flynn, et al.. (2023). Uncovering a neurological protein signature for severe COVID-19. Neurobiology of Disease. 182. 106147–106147. 1 indexed citations

Masania, Jinit, Patrick Wijten, Susanne Keipert, et al.. (2022). Decreased methylglyoxal-mediated protein glycation in the healthy aging mouse model of ectopic expression of UCP1 in skeletal muscle. Redox Biology. 59. 102574–102574. 5 indexed citations

Abbas, Hafsa, et al.. (2020). Vulnerabilities of the SARS-CoV-2 Virus to Proteotoxicity—Opportunity for Repurposed Chemotherapy of COVID-19 Infection. Frontiers in Pharmacology. 11. 585408–585408. 27 indexed citations

Abbas, Hafsa, et al.. (2020). Vulnerabilities of the SARS-CoV-2 Virus to Proteotoxicity — Opportunity for Repurposed Chemotherapy of COVID-19 Infection. SSRN Electronic Journal. 7 indexed citations

Tak, Tamar, Patrick Wijten, Peter Pickkers, et al.. (2017). Human CD62Ldim neutrophils identified as a separate subset by proteome profiling and in vivo pulse-chase labeling. Blood. 129(26). 3476–3485. 89 indexed citations

Bleijerveld, Onno B., Patrick Wijten, Philip G. de Groot, et al.. (2014). Quantitative proteomics analysis reveals similar release profiles following specific PAR-1 or PAR-4 stimulation of platelets. Cardiovascular Research. 103(1). 140–146. 51 indexed citations

Wijten, Patrick, et al.. (2013). High Precision Platelet Releasate Definition by Quantitative Reversed Protein Profiling—Brief Report. Arteriosclerosis Thrombosis and Vascular Biology. 33(7). 1635–1638. 76 indexed citations

Bleijerveld, Onno B., Patrick Wijten, Salvatore Cappadona, et al.. (2012). Deep Proteome Profiling of Circulating Granulocytes Reveals Bactericidal/Permeability-Increasing Protein as a Biomarker for Severe Atherosclerotic Coronary Stenosis. Journal of Proteome Research. 11(11). 5235–5244. 14 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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