P. van Aarle

629 total citations
10 papers, 474 citations indexed

About

P. van Aarle is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, P. van Aarle has authored 10 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in P. van Aarle's work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers) and Animal Disease Management and Epidemiology (3 papers). P. van Aarle is often cited by papers focused on Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers) and Animal Disease Management and Epidemiology (3 papers). P. van Aarle collaborates with scholars based in Netherlands, United States and Belgium. P. van Aarle's co-authors include Peter Sillekens, Birgit Deiman, Marc Jacobs, Servaas A. Morré, A J van den Brule, Bob van Gemen, Chris J.L.M. Meijer, Jan M.M. Walboomers, S. de Blok and Peter Oudshoorn and has published in prestigious journals such as Journal of Clinical Microbiology, Journal of Clinical Virology and Journal of Virological Methods.

In The Last Decade

P. van Aarle

10 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. van Aarle Netherlands	8	186	173	144	139	104	10	474
Motoko Fujino Japan	13	302 1.6×	84 0.5×	117 0.8×	160 1.2×	46 0.4×	22	467
Zhishan Feng China	16	282 1.5×	114 0.7×	110 0.8×	251 1.8×	55 0.5×	35	536
Wenxue Wu China	14	85 0.5×	183 1.1×	49 0.3×	66 0.5×	180 1.7×	29	483
Norimitsu Hosaka Japan	7	127 0.7×	160 0.9×	238 1.7×	128 0.9×	16 0.2×	7	455
Susan E. Sefers United States	9	344 1.8×	89 0.5×	41 0.3×	293 2.1×	29 0.3×	14	527
Mengchuan Zhao China	12	216 1.2×	71 0.4×	68 0.5×	200 1.4×	39 0.4×	29	389
Cuong Duc Vuong Vietnam	7	187 1.0×	152 0.9×	239 1.7×	214 1.5×	20 0.2×	8	497
Anthony Chamings Australia	11	126 0.7×	77 0.4×	43 0.3×	375 2.7×	46 0.4×	20	582
Yoshihiko Enomoto Japan	12	232 1.2×	143 0.8×	225 1.6×	65 0.5×	13 0.1×	14	458
Simone Spreng Germany	14	59 0.3×	95 0.5×	61 0.4×	171 1.2×	23 0.2×	18	481

Countries citing papers authored by P. van Aarle

Since Specialization

Citations

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

Fields of papers citing papers by P. van Aarle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. van Aarle

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

All Works

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10 of 10 papers shown

Moore, Catherine, Jean-Noël Telles, Sally Corden, et al.. (2010). Development and validation of a commercial real-time NASBA assay for the rapid confirmation of influenza A H5N1 virus in clinical samples. Journal of Virological Methods. 170(1-2). 173–176. 25 indexed citations

Aarle, P. van, et al.. (2006). Real-time NASBA assay for the detection of influenza A and B. Journal of Clinical Virology. 36. S46–S47. 6 indexed citations

Aarle, P. van. (2006). Making avian influenza vaccines available, an industry point of view (IFAH).. PubMed. 124. 151–5. 2 indexed citations

Greene, Shermalyn R., et al.. (2003). Evaluation of the NucliSens® Basic Kit assay for detection of Norwalk virus RNA in stool specimens. Journal of Virological Methods. 108(1). 123–131. 31 indexed citations

Aarle, P. van. (2003). Suitability of an E2 subunit vaccine of classical swine fever in combination with the E(rns)-marker-test for eradication through vaccination.. PubMed. 114. 193–200. 14 indexed citations

Deiman, Birgit, P. van Aarle, & Peter Sillekens. (2002). Characteristics and Applications of Nucleic Acid Sequence-Based Amplification (NASBA). Molecular Biotechnology. 20(2). 163–180. 214 indexed citations

Loens, Katherine, D. Ursi, M. Ieven, et al.. (2002). Detection of Mycoplasma pneumoniae in Spiked Clinical Samples by Nucleic Acid Sequence-Based Amplification. Journal of Clinical Microbiology. 40(4). 1339–1345. 39 indexed citations

Morré, Servaas A., Peter Sillekens, Marc Jacobs, et al.. (1998). Monitoring of Chlamydia trachomatis infections after antibiotic treatment using RNA detection by nucleic acid sequence based amplification.. Molecular Pathology. 51(3). 149–154. 55 indexed citations

Bruisten, Sylvia M., Peter Oudshoorn, Peter van Swieten, et al.. (1997). Stability OF HIV-1 RNA in blood during specimen handling and storage prior to amplification by NASBA-QT. Journal of Virological Methods. 67(2). 199–207. 29 indexed citations

10.

Morré, Servaas A., Peter Sillekens, Marc Jacobs, et al.. (1996). RNA amplification by nucleic acid sequence-based amplification with an internal standard enables reliable detection of Chlamydia trachomatis in cervical scrapings and urine samples. Journal of Clinical Microbiology. 34(12). 3108–3114. 59 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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