A. Claeys

759 total citations
58 papers, 432 citations indexed

About

A. Claeys is a scholar working on Molecular Biology, Spectroscopy and Bioengineering. According to data from OpenAlex, A. Claeys has authored 58 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Spectroscopy and 10 papers in Bioengineering. Recurrent topics in A. Claeys's work include Analytical Chemistry and Chromatography (10 papers), Analytical Chemistry and Sensors (10 papers) and Electrochemical sensors and biosensors (6 papers). A. Claeys is often cited by papers focused on Analytical Chemistry and Chromatography (10 papers), Analytical Chemistry and Sensors (10 papers) and Electrochemical sensors and biosensors (6 papers). A. Claeys collaborates with scholars based in Belgium, France and Sweden. A. Claeys's co-authors include A.P. De Leenheer, M.F. Lefevere, Guido Slegers, Jimmy Van den Eynden, Kathleen Marchal, Badrul Arefin, Ganesh Umapathy, Ruth H. Palmer, Bengt Hallberg and Ilse Claeys and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

A. Claeys

54 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Claeys Belgium 12 112 89 60 45 39 58 432
О. А. Азизова Russia 12 113 1.0× 63 0.7× 87 1.4× 8 0.2× 98 2.5× 65 530
В. И. Сергиенко Russia 12 149 1.3× 95 1.1× 79 1.3× 14 0.3× 79 2.0× 78 606
D M Mock United States 13 165 1.5× 42 0.5× 17 0.3× 32 0.7× 107 2.7× 25 617
Abraham Mazur United States 10 181 1.6× 127 1.4× 17 0.3× 8 0.2× 43 1.1× 14 580
Dave Flowers United States 3 185 1.7× 65 0.7× 119 2.0× 5 0.1× 38 1.0× 3 674
Zhexuan Lin China 13 202 1.8× 62 0.7× 6 0.1× 30 0.7× 16 0.4× 42 507
H. Hartmann Germany 11 95 0.8× 96 1.1× 19 0.3× 7 0.2× 30 0.8× 27 390
Maria van der Ham Netherlands 15 335 3.0× 32 0.4× 22 0.4× 24 0.5× 45 1.2× 28 574
Chi-Liang Chern Taiwan 8 171 1.5× 21 0.2× 23 0.4× 7 0.2× 26 0.7× 8 461
Hiroshi Ikawa Japan 14 255 2.3× 33 0.4× 57 0.9× 6 0.1× 99 2.5× 56 624

Countries citing papers authored by A. Claeys

Since Specialization
Citations

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

Fields of papers citing papers by A. Claeys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Claeys

This figure shows the co-authorship network connecting the top 25 collaborators of A. Claeys. A scholar is included among the top collaborators of A. Claeys 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 A. Claeys. A. Claeys 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.
Merseburger, Peter, Caroline Jansson, Jenny Karlsson, et al.. (2025). Spatial transcriptomics exploration of the primary neuroblastoma microenvironment in archived FFPE samples unveils novel paracrine interactions. The Journal of Pathology. 267(2). 181–195. 3 indexed citations
2.
Belza, Joke, Frank Vanhaecke, An Vermeulen, et al.. (2024). Effects of hyperthermia on cisplatin tissue penetration and gene expression in peritoneal metastases: results from a randomized trial in ovarian cancer. British journal of surgery. 111(4). 3 indexed citations
3.
Claeys, A. & Jimmy Van den Eynden. (2024). MHC class II genotypes are independent predictors of anti-PD1 immunotherapy response in melanoma. SHILAP Revista de lepidopterología. 4(1). 184–184. 3 indexed citations
4.
Merseburger, Peter, A. Claeys, Frank Speleman, et al.. (2023). Preclinical exploration of the DNA damage response pathway using the interactive neuroblastoma cell line explorer CLEAN. NAR Cancer. 6(1). zcad062–zcad062. 1 indexed citations
5.
Claeys, A., et al.. (2023). Benchmark of tools for in silico prediction of MHC class I and class II genotypes from NGS data. BMC Genomics. 24(1). 247–247. 12 indexed citations
6.
Elliott, Kerryn, Joris Van de Velde, A. Claeys, et al.. (2022). A clinically annotated post-mortem approach to study multi-organ somatic mutational clonality in normal tissues. Scientific Reports. 12(1). 10322–10322. 2 indexed citations
7.
Umapathy, Ganesh, Wei‐Yun Lai, Barbara Witek, et al.. (2021). ALK ligand ALKAL2 potentiates MYCN‐driven neuroblastoma in the absence of ALK mutation. The EMBO Journal. 40(3). e105784–e105784. 33 indexed citations
8.
Arefin, Badrul, Yeshwant Kurhe, Ganesh Umapathy, et al.. (2021). ATR inhibition enables complete tumour regression in ALK-driven NB mouse models. Nature Communications. 12(1). 6813–6813. 23 indexed citations
9.
Claeys, A., et al.. (2021). Low immunogenicity of common cancer hot spot mutations resulting in false immunogenic selection signals. PLoS Genetics. 17(2). e1009368–e1009368. 14 indexed citations
10.
Charles, J., et al.. (2014). Deux cas de dermatose acantholytique sous vémurafénib. Annales de Dermatologie et de Vénéréologie. 141(11). 689–693.
11.
Coudeyre, Emmanuel, et al.. (2014). Transcultural validation of the Risk Assessment and Predictor Tool (RAPT) to predict discharge outcomes after total hip replacement. Annals of Physical and Rehabilitation Medicine. 57(3). 169–184. 16 indexed citations
12.
Claeys, A., et al.. (1998). The determination of trace quantities of copper in biological material by radioactivation analysis.. PubMed. 16. 207–16.
13.
Slegers, Guido, et al.. (1986). Enzymatic synthesis of 13 N-labeled γ-amino-butyric acid. Journal of Labelled Compounds and Radiopharmaceuticals. 23. 1114–1115. 4 indexed citations
14.
Lefevere, M.F., Guido Slegers, & A. Claeys. (1979). Evaluation of a rapid, sensitive and specific assay for the determination of collagenolytic activity in biological samples. Clinica Chimica Acta. 92(2). 167–175. 15 indexed citations
15.
Claeys, A., et al.. (1973). Titrimetric determination of amphetamine sulphate in tablets. The Analyst. 98(1166). 372–372. 4 indexed citations
16.
Claeys, A., et al.. (1972). The decomposition of hypobromite solutions. Talanta. 19(12). 1555–1561. 2 indexed citations
17.
Claeys, A., et al.. (1965). La Détermination Ampérométrique de L'Arsénite Par L'Hypobromite. Bulletin des Sociétés Chimiques Belges. 74(5-6). 281–288. 1 indexed citations
18.
Claeys, A., et al.. (1964). La Détermination de la Thiosémicarbazide Par L'Hypobromite. Bulletin des Sociétés Chimiques Belges. 73(11-12). 898–902. 2 indexed citations
19.
Claeys, A., et al.. (1964). La Détermination de L'Eau Oxygénée Par L'Hypobromite en Milieu Alcalin. Bulletin des Sociétés Chimiques Belges. 73(5-6). 622–627. 3 indexed citations
20.
Claeys, A.. (1963). A Practical General Formula for the Calculation of Hydrogen‐ion Concentration of Aqueous Solutions of Acids and Bases. Bulletin des Sociétés Chimiques Belges. 72(1-2). 102–122. 5 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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