David Achaintre

2.4k total citations
18 papers, 816 citations indexed

About

David Achaintre is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, David Achaintre has authored 18 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in David Achaintre's work include Metabolomics and Mass Spectrometry Studies (8 papers), Diet and metabolism studies (7 papers) and Tea Polyphenols and Effects (5 papers). David Achaintre is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Diet and metabolism studies (7 papers) and Tea Polyphenols and Effects (5 papers). David Achaintre collaborates with scholars based in France, Germany and United Kingdom. David Achaintre's co-authors include Sabina Rinaldi, Augustin Scalbert, Pietro Ferrari, Timothy J. Key, Marc J. Gunter, Ruth C. Travis, Julie A. Schmidt, P N Appleby, Marion Carayol and Rudolf Kaaks and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and American Journal of Clinical Nutrition.

In The Last Decade

David Achaintre

16 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Achaintre France 9 427 243 160 82 76 18 816
Kirstin Mittelstraß Germany 12 742 1.7× 384 1.6× 122 0.8× 28 0.3× 37 0.5× 14 1.1k
Pieter Giesbertz Germany 16 601 1.4× 356 1.5× 62 0.4× 30 0.4× 110 1.4× 32 1.1k
Danuta Dudzik Poland 17 671 1.6× 102 0.4× 52 0.3× 230 2.8× 17 0.2× 38 1.1k
Diederik Esser Netherlands 16 232 0.5× 280 1.2× 117 0.7× 21 0.3× 23 0.3× 31 737
Xianfeng Zeng United States 14 926 2.2× 542 2.2× 48 0.3× 103 1.3× 57 0.8× 15 1.6k
Laura Owen United Kingdom 24 375 0.9× 85 0.3× 129 0.8× 125 1.5× 40 0.5× 44 1.6k
Roxana Moreira Portugal 18 283 0.7× 116 0.5× 69 0.4× 32 0.4× 22 0.3× 25 784
Carlos A. Barrero United States 23 596 1.4× 276 1.1× 201 1.3× 47 0.6× 121 1.6× 49 1.4k
Farid Ichou France 14 577 1.4× 369 1.5× 52 0.3× 60 0.7× 104 1.4× 27 999
John P. Kennelly United States 12 658 1.5× 247 1.0× 40 0.3× 37 0.5× 116 1.5× 24 1.4k

Countries citing papers authored by David Achaintre

Since Specialization
Citations

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

Fields of papers citing papers by David Achaintre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Achaintre

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

All Works

18 of 18 papers shown
1.
Petrick, Lauren, David Achaintre, Amith S. Maroli, et al.. (2025). Categorizing Concentration Confidence: A Framework for Reporting Concentration Measures from Mass Spectrometry-Based Assays. Environmental Health Perspectives. 133(5). 55001–55001. 2 indexed citations
2.
Achaintre, David, Ines Perrar, Ute Alexy, et al.. (2024). Metabolomics signatures of sweetened beverages and added sugar are related to anthropometric measures of adiposity in young individuals: results from a cohort study. American Journal of Clinical Nutrition. 120(4). 879–890. 3 indexed citations
3.
4.
Mori, Nagisa, Neil Murphy, Norie Sawada, et al.. (2023). Reproducibility and dietary correlates of plasma polyphenols in the JPHC-NEXT Protocol Area study. European Journal of Clinical Nutrition. 78(1). 34–42. 3 indexed citations
5.
6.
Mori, Nagisa, Neil Murphy, Norie Sawada, et al.. (2022). Prediagnostic plasma polyphenol concentrations and colon cancer risk: The JPHC nested case–control study. Clinical Nutrition. 41(9). 1950–1960. 9 indexed citations
7.
Almanza‐Aguilera, Enrique, David Achaintre, Joseph A. Rothwell, et al.. (2021). Urinary Concentrations of (+)-Catechin and (-)-Epicatechin as Biomarkers of Dietary Intake of Flavan-3-ols in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study. Nutrients. 13(11). 4157–4157. 8 indexed citations
8.
Geijsen, Anne J. M. R., Dieuwertje E. Kok, Moniek van Zutphen, et al.. (2021). Diet quality indices and dietary patterns are associated with plasma metabolites in colorectal cancer patients. European Journal of Nutrition. 60(6). 3171–3184. 8 indexed citations
9.
Hardikar, Sheetal, David Achaintre, Tengda Lin, et al.. (2020). Impact of Pre-Blood Collection Factors on Plasma Metabolomic Profiles. Metabolites. 10(5). 213–213. 6 indexed citations
10.
Ose, Jennifer, Andreana N. Holowatyj, Johanna Nattenmüller, et al.. (2020). Metabolomics profiling of visceral and abdominal subcutaneous adipose tissue in colorectal cancer patients: results from the ColoCare study. Cancer Causes & Control. 31(8). 723–735. 6 indexed citations
11.
Achaintre, David, Audrey Gicquiau, Liang Li, Sabina Rinaldi, & Augustin Scalbert. (2018). Quantification of 38 dietary polyphenols in plasma by differential isotope labelling and liquid chromatography electrospray ionization tandem mass spectrometry. Journal of Chromatography A. 1558. 50–58. 20 indexed citations
12.
Achaintre, David, Audrey Buleté, Cécile Cren‐Olivé, et al.. (2016). Differential Isotope Labeling of 38 Dietary Polyphenols and Their Quantification in Urine by Liquid Chromatography Electrospray Ionization Tandem Mass Spectrometry. Analytical Chemistry. 88(5). 2637–2644. 47 indexed citations
13.
Siskos, Alexandros, Pooja Jain, Werner Römisch‐Margl, et al.. (2016). Interlaboratory Reproducibility of a Targeted Metabolomics Platform for Analysis of Human Serum and Plasma. Analytical Chemistry. 89(1). 656–665. 178 indexed citations
14.
Carayol, Marion, Idlir Licaj, David Achaintre, et al.. (2015). Reliability of Serum Metabolites over a Two-Year Period: A Targeted Metabolomic Approach in Fasting and Non-Fasting Samples from EPIC. PLoS ONE. 10(8). e0135437–e0135437. 86 indexed citations
15.
Schmidt, Julie A., Sabina Rinaldi, Augustin Scalbert, et al.. (2015). Plasma concentrations and intakes of amino acids in male meat-eaters, fish-eaters, vegetarians and vegans: a cross-sectional analysis in the EPIC-Oxford cohort. European Journal of Clinical Nutrition. 70(3). 306–312. 248 indexed citations
16.
Schmidt, Julie A., Sabina Rinaldi, Pietro Ferrari, et al.. (2015). Metabolic profiles of male meat eaters, fish eaters, vegetarians, and vegans from the EPIC-Oxford cohort. American Journal of Clinical Nutrition. 102(6). 1518–1526. 102 indexed citations
17.
Harthé, C., et al.. (2012). Bisphenol A-glucuronide measurement in urine samples. Talanta. 100. 410–413. 16 indexed citations
18.
Dossus, Laure, Susen Becker, David Achaintre, Rudolf Kaaks, & Sabina Rinaldi. (2009). Validity of multiplex-based assays for cytokine measurements in serum and plasma from “non-diseased” subjects: Comparison with ELISA. Journal of Immunological Methods. 350(1-2). 125–132. 74 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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