J.A. van Leerdam

1.2k total citations
11 papers, 937 citations indexed

About

J.A. van Leerdam is a scholar working on Pollution, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, J.A. van Leerdam has authored 11 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pollution, 5 papers in Spectroscopy and 5 papers in Analytical Chemistry. Recurrent topics in J.A. van Leerdam's work include Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Analytical chemistry methods development (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). J.A. van Leerdam is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Analytical chemistry methods development (5 papers) and Mass Spectrometry Techniques and Applications (4 papers). J.A. van Leerdam collaborates with scholars based in Netherlands, United Kingdom and Spain. J.A. van Leerdam's co-authors include Pim de Voogt, Ariadne C. Hogenboom, Annemarie P. van Wezel, Thomas L. ter Laak, Johannes P. C. Vissers, I. Bobeldijk, Merijn Schriks, Sander C. van der Linden, Bart van der Burg and M.M.E. van der Kooi and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

J.A. van Leerdam

11 papers receiving 912 citations

Peers

J.A. van Leerdam
J.A. van Leerdam
Citations per year, relative to J.A. van Leerdam J.A. van Leerdam (= 1×) peers Marina Di Carro

Countries citing papers authored by J.A. van Leerdam

Since Specialization
Citations

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

Fields of papers citing papers by J.A. van Leerdam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.A. van Leerdam

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

All Works

11 of 11 papers shown
1.
Hernández, Félix, Lubertus Bijlsma, J. de Boer, et al.. (2019). The role of analytical chemistry in exposure science: Focus on the aquatic environment. Chemosphere. 222. 564–583. 92 indexed citations
2.
Alygizakis, ‪Nikiforos, Saer Samanipour, Juliane Hollender, et al.. (2018). Exploring the Potential of a Global Emerging Contaminant Early Warning Network through the Use of Retrospective Suspect Screening with High-Resolution Mass Spectrometry. Environmental Science & Technology. 52(9). 5135–5144. 91 indexed citations
3.
Sjerps, Rosa, Dennis Vughs, J.A. van Leerdam, Thomas L. ter Laak, & Annemarie P. van Wezel. (2016). Data-driven prioritization of chemicals for various water types using suspect screening LC-HRMS. Water Research. 93. 254–264. 87 indexed citations
4.
Leerdam, J.A. van, Jacques Vervoort, Gerard J. Stroomberg, & Pim de Voogt. (2014). Identification of Unknown Microcontaminants in Dutch River Water by Liquid Chromatography-High Resolution Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy. Environmental Science & Technology. 48(21). 12791–12799. 24 indexed citations
5.
Laak, Thomas L. ter, Leo Puijker, J.A. van Leerdam, et al.. (2012). Broad target chemical screening approach used as tool for rapid assessment of groundwater quality. The Science of The Total Environment. 427-428. 308–313. 23 indexed citations
6.
Schriks, Merijn, J.A. van Leerdam, Sander C. van der Linden, et al.. (2010). High-Resolution Mass Spectrometric Identification and Quantification of Glucocorticoid Compounds in Various Wastewaters in The Netherlands. Environmental Science & Technology. 44(12). 4766–4774. 141 indexed citations
7.
Leerdam, J.A. van, Ariadne C. Hogenboom, M.M.E. van der Kooi, & Pim de Voogt. (2009). Determination of polar 1H-benzotriazoles and benzothiazoles in water by solid-phase extraction and liquid chromatography LTQ FT Orbitrap mass spectrometry. International Journal of Mass Spectrometry. 282(3). 99–107. 93 indexed citations
8.
Hogenboom, Ariadne C., J.A. van Leerdam, & Pim de Voogt. (2008). Accurate mass screening and identification of emerging contaminants in environmental samples by liquid chromatography–hybrid linear ion trap Orbitrap mass spectrometry. Journal of Chromatography A. 1216(3). 510–519. 201 indexed citations
9.
Wagenvoort, Arco J., et al.. (2006). HPLC-DAD and Q-TOF MS Techniques Identify Cause of Daphnia Biomonitor Alarms in the River Meuse. Environmental Science & Technology. 40(8). 2678–2685. 45 indexed citations
10.
Bobeldijk, I., Peter G. Stoks, Johannes P. C. Vissers, et al.. (2002). Surface and wastewater quality monitoring: combination of liquid chromatography with (geno)toxicity detection, diode array detection and tandem mass spectrometry for identification of pollutants. Journal of Chromatography A. 970(1-2). 167–181. 36 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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