Juris Meija

6.2k total citations · 3 hit papers
176 papers, 4.2k citations indexed

About

Juris Meija is a scholar working on Ecology, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, Juris Meija has authored 176 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ecology, 32 papers in Spectroscopy and 31 papers in Analytical Chemistry. Recurrent topics in Juris Meija's work include Isotope Analysis in Ecology (40 papers), Analytical chemistry methods development (24 papers) and Mass Spectrometry Techniques and Applications (21 papers). Juris Meija is often cited by papers focused on Isotope Analysis in Ecology (40 papers), Analytical chemistry methods development (24 papers) and Mass Spectrometry Techniques and Applications (21 papers). Juris Meija collaborates with scholars based in Canada, United States and China. Juris Meija's co-authors include Zoltán Mester, Joseph A. Caruso, Lu Yang, Thomas Prohaska, Robert D. Loss, N.E. Holden, Paul De Bièvre, Manfred Gröning, Tyler B. Coplen and Willi A. Brand and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Juris Meija

162 papers receiving 4.1k citations

Hit Papers

Isotopic compositions of ... 2013 2026 2017 2021 2016 2016 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juris Meija Canada 32 763 727 691 621 486 176 4.2k
Lu Yang Canada 42 2.0k 2.6× 1.3k 1.8× 745 1.1× 945 1.5× 508 1.0× 167 6.4k
Thomas Walczyk Switzerland 36 290 0.4× 276 0.4× 244 0.4× 473 0.8× 1.4k 2.8× 78 4.9k
Paul De Bièvre Belgium 34 740 1.0× 285 0.4× 768 1.1× 1.2k 1.9× 134 0.3× 255 7.7k
J. Ignacio García Alonso Spain 39 1.9k 2.5× 2.0k 2.7× 1.0k 1.5× 592 1.0× 743 1.5× 208 5.3k
Klaus G. Heumann Germany 38 1.9k 2.4× 1.1k 1.5× 871 1.3× 779 1.3× 336 0.7× 149 5.1k
Roger Wood United Kingdom 32 1.3k 1.7× 626 0.9× 558 0.8× 197 0.3× 158 0.3× 127 6.3k
Steve J. Hill United Kingdom 39 3.0k 3.9× 1.2k 1.7× 975 1.4× 225 0.4× 249 0.5× 166 5.0k
Zoltán Mester Canada 49 3.8k 5.0× 2.0k 2.8× 2.0k 2.9× 551 0.9× 836 1.7× 258 8.2k
Hiroki Haraguchi Japan 38 2.5k 3.2× 867 1.2× 1.5k 2.2× 111 0.2× 327 0.7× 307 5.4k
Keiichirō Fuwa Japan 38 1.4k 1.9× 832 1.1× 891 1.3× 126 0.2× 238 0.5× 235 4.3k

Countries citing papers authored by Juris Meija

Since Specialization
Citations

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

Fields of papers citing papers by Juris Meija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juris Meija

This figure shows the co-authorship network connecting the top 25 collaborators of Juris Meija. A scholar is included among the top collaborators of Juris Meija 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 Juris Meija. Juris Meija 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.
Meija, Juris, et al.. (2024). New statistical framework for interlaboratory evaluation of anti-doping testing results by WADA. Accreditation and Quality Assurance. 29(5-6). 345–357.
2.
Possolo, Antonio, David Brynn Hibbert, Jürgen Stohner, Olha Bodnar, & Juris Meija. (2024). A brief guide to measurement uncertainty (IUPAC Technical Report). Pure and Applied Chemistry. 96(1). 113–134. 5 indexed citations
3.
Meija, Juris, et al.. (2023). Preparation of 18O-labelled azaspiracids for accurate quantitation using liquid chromatography–mass spectrometry. Analytical and Bioanalytical Chemistry. 415(24). 5973–5983. 1 indexed citations
4.
Chartrand, Michelle M. G., Jeffrey Merrick, Maíra Fasciotti, et al.. (2023). Final report for CCQM-P212: coherence of carbon isotope delta reference materials. Metrologia. 60(1A). 8028–8028. 3 indexed citations
5.
Meija, Juris, Olha Bodnar, & Antonio Possolo. (2023). Ode to Bayesian methods in metrology. Metrologia. 60(5). 52001–52001. 9 indexed citations
6.
Pagliano, Enea & Juris Meija. (2023). Calibration model averaging in chemical analysis: a case study for the method of standard additions. Metrologia. 60(3). 35003–35003. 2 indexed citations
7.
Pagliano, Enea, Elizabeth Keegan, Juris Meija, et al.. (2023). Determination of inorganic anions in uranium ore concentrate reference materials. Journal of Radioanalytical and Nuclear Chemistry. 332(6). 2221–2229. 1 indexed citations
8.
Yang, Lu, Jochen Vogl, Jacqueline L. Mann, et al.. (2023). Copper isotope delta measurements in high purity materials: CCQM-P213 pilot study. Metrologia. 60(1A). 8019–8019. 2 indexed citations
9.
Toman, Blaza, et al.. (2022). Errors-in-variables calibration with dark uncertainty. Metrologia. 59(4). 45002–45002. 5 indexed citations
10.
Pagliano, Enea & Juris Meija. (2021). A tool to evaluate nonlinearity in calibration curves involving isotopic internal standards in mass spectrometry. International Journal of Mass Spectrometry. 464. 116557–116557. 12 indexed citations
11.
Sargent, Mike, Heidi Goenaga‐Infante, Kazumi Inagaki, et al.. (2019). The role of ICP-MS in inorganic chemical metrology. Metrologia. 56(3). 34005–34005. 25 indexed citations
12.
Tong, Shuoyun, Juris Meija, Lian Zhou, Zoltán Mester, & Lu Yang. (2019). Determination of the isotopic composition of hafnium using MC-ICPMS. Metrologia. 56(4). 44008–44008. 9 indexed citations
13.
Melanson, Jeremy E., et al.. (2018). BOTS-1: Bovine Muscle Certified Reference Material for Veterinary Drug Residues. NRC Digital Repository. 5 indexed citations
14.
Bates, Jennifer, Anthony Windust, Patrícia Grinberg, et al.. (2018). MYCO-1: Certified reference material of mycotoxin contaminated rye flour. NRC Digital Repository. 1 indexed citations
15.
Bates, Jennifer, Adilah Bahadoor, Anthony Windust, et al.. (2018). OTAN-1: Ochratoxin A calibration solution certified reference material. NRC Digital Repository. 2 indexed citations
16.
Melanson, Jeremy E., et al.. (2018). Purity assignment for peptide certified reference materials by combining qNMR and LC-MS/MS amino acid analysis results: application to angiotensin II. Analytical and Bioanalytical Chemistry. 410(26). 6719–6731. 30 indexed citations
17.
Meija, Juris & Stephen L. R. Ellison. (2017). Guides in Metrology. Chemistry International. 39(1). 27–28. 1 indexed citations
18.
Grinberg, Patrícia, et al.. (2017). AQUA-1: Drinking water Certified Reference Material. NRC Digital Repository. 1 indexed citations
19.
Le, Phuong Mai, et al.. (2017). BPAL-1: Certified Reference Material of [13C5]-bisphenol A. NRC Digital Repository. 1 indexed citations
20.
Grinberg, Patrícia, et al.. (2016). PRON-1: River prawn Certified Reference Material for trace metals and arsenobetaine. NRC Digital Repository. 1 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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