Mia L. Pras‐Raves

1.9k total citations · 1 hit paper
28 papers, 1.0k citations indexed

About

Mia L. Pras‐Raves is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, Mia L. Pras‐Raves has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Physiology and 6 papers in Clinical Biochemistry. Recurrent topics in Mia L. Pras‐Raves's work include Metabolomics and Mass Spectrometry Studies (10 papers), Metabolism and Genetic Disorders (6 papers) and Lipid metabolism and biosynthesis (5 papers). Mia L. Pras‐Raves is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Metabolism and Genetic Disorders (6 papers) and Lipid metabolism and biosynthesis (5 papers). Mia L. Pras‐Raves collaborates with scholars based in Netherlands, United States and Austria. Mia L. Pras‐Raves's co-authors include Frédéric M. Vaz, Johan Gerrits, Nanda M. Verhoeven‐Duif, Antoine H. C. van Kampen, Boudewijn Burgering, Angela C. M. Luyf, Edwin C.A. Stigter, Riccardo Fodde, Andrea Sacchetti and Matthias Schewe and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Mia L. Pras‐Raves

28 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interplay between metabolic identities in the intestinal crypt supports stem cell function

2017 359 citations Johan Gerrits, Mia L. Pras‐Raves et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mia L. Pras‐Raves Netherlands	18	686	223	157	144	116	28	1.0k
Maria J. Rodríguez Colman Netherlands	16	797 1.2×	187 0.8×	212 1.4×	281 2.0×	29 0.3×	24	1.3k
Lokendra Kumar Sharma India	15	850 1.2×	110 0.5×	255 1.6×	66 0.5×	104 0.9×	37	1.2k
Alexis A. Jourdain Switzerland	20	1.7k 2.5×	187 0.8×	204 1.3×	69 0.5×	286 2.5×	31	2.0k
Mariangela Conconi France	11	771 1.1×	159 0.7×	90 0.6×	89 0.6×	151 1.3×	11	1.1k
Lear E. Brace United States	10	712 1.0×	312 1.4×	69 0.4×	115 0.8×	36 0.3×	15	1.3k
Javier Traba United States	21	737 1.1×	260 1.2×	86 0.5×	93 0.6×	158 1.4×	38	1.3k
Masato Yano Japan	23	1.2k 1.7×	237 1.1×	152 1.0×	55 0.4×	177 1.5×	34	1.6k
Brian M. Wasko United States	17	820 1.2×	144 0.6×	68 0.4×	56 0.4×	112 1.0×	25	1.0k
Cristina Mascaró Spain	13	696 1.0×	204 0.9×	89 0.6×	65 0.5×	94 0.8×	26	944
Rebecca J. Kapphahn United States	19	1.2k 1.7×	117 0.5×	88 0.6×	65 0.5×	96 0.8×	33	1.7k

Countries citing papers authored by Mia L. Pras‐Raves

Since Specialization

Citations

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

Fields of papers citing papers by Mia L. Pras‐Raves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mia L. Pras‐Raves. 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 Mia L. Pras‐Raves. The network helps show where Mia L. Pras‐Raves may publish in the future.

Co-authorship network of co-authors of Mia L. Pras‐Raves

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

All Works

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20 of 20 papers shown

Vaz, Frédéric M., Jan B. van Klinken, Henk van Lenthe, et al.. (2024). Discovery of novel diagnostic biomarkers for Sjögren-Larsson syndrome by untargeted lipidomics. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1869(2). 159447–159447. 3 indexed citations

Kampen, Antoine H. C. van, Aldo Jongejan, Barbera D. C. van Schaik, et al.. (2024). ENCORE: a practical implementation to improve reproducibility and transparency of computational research. Nature Communications. 15(1). 8117–8117. 3 indexed citations

Ham, Maria van der, M. van Aalderen, Martina M.J. de Barse, et al.. (2023). A one-year pilot study comparing direct-infusion high resolution mass spectrometry based untargeted metabolomics to targeted diagnostic screening for inherited metabolic diseases. Frontiers in Molecular Biosciences. 10. 1283083–1283083. 2 indexed citations

Lackner, Katharina, S. Sailer, Eric Wever, et al.. (2023). Alterations in ether lipid metabolism and the consequences for the mouse lipidome. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1868(4). 159285–159285. 8 indexed citations

Sailer, S., Katharina Lackner, Mia L. Pras‐Raves, et al.. (2022). Adaptations of the 3T3-L1 adipocyte lipidome to defective ether lipid catabolism upon Agmo knockdown. Journal of Lipid Research. 63(6). 100222–100222. 4 indexed citations

Molenaars, Marte, Bauke V. Schomakers, Hyung L. Elfrink, et al.. (2021). Metabolomics and lipidomics in Caenorhabditis elegans using a single-sample preparation. Disease Models & Mechanisms. 14(4). 33 indexed citations

Held, Ntsiki M., Hyung L. Elfrink, Sander Kooijman, et al.. (2021). Aging selectively dampens oscillation of lipid abundance in white and brown adipose tissue. Scientific Reports. 11(1). 5932–5932. 22 indexed citations

Knottnerus, Suzan J. G., Mia L. Pras‐Raves, Maria van der Ham, et al.. (2020). Prediction of VLCAD deficiency phenotype by a metabolic fingerprint in newborn screening bloodspots. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(6). 165725–165725. 13 indexed citations

Magnúsdóttir, Stefanía, Mia L. Pras‐Raves, Judith Jans, et al.. (2020). MetaboShiny: interactive analysis and metabolite annotation of mass spectrometry-based metabolomics data. Metabolomics. 16(9). 99–99. 16 indexed citations

10.

Kühl, Sandra, Johannes L. Roos, Heinz Horstmann, et al.. (2020). Cerebellar and hepatic alterations in ACBD5-deficient mice are associated with unexpected, distinct alterations in cellular lipid homeostasis. Communications Biology. 3(1). 713–713. 20 indexed citations

11.

Pras‐Raves, Mia L., Johan Gerrits, Marcel Willemsen, et al.. (2019). Metabolic fingerprinting reveals extensive consequences of GLS hyperactivity. Biochimica et Biophysica Acta (BBA) - General Subjects. 1864(3). 129484–129484. 5 indexed citations

12.

Haijes, Hanneke A., Marcel Willemsen, Maria van der Ham, et al.. (2019). Direct Infusion Based Metabolomics Identifies Metabolic Disease in Patients’ Dried Blood Spots and Plasma. Metabolites. 9(1). 12–12. 56 indexed citations

13.

Herzog, Katharina, Mia L. Pras‐Raves, Sacha Ferdinandusse, et al.. (2017). Plasma lipidomics as a diagnostic tool for peroxisomal disorders. Journal of Inherited Metabolic Disease. 41(3). 489–498. 18 indexed citations

14.

Velden, Monique G.M. de Sain–van der, Maria van der Ham, Johan Gerrits, et al.. (2017). Quantification of metabolites in dried blood spots by direct infusion high resolution mass spectrometry. Analytica Chimica Acta. 979. 45–50. 32 indexed citations

15.

Herzog, Katharina, Mia L. Pras‐Raves, Sacha Ferdinandusse, et al.. (2017). Functional characterisation of peroxisomal β‐oxidation disorders in fibroblasts using lipidomics. Journal of Inherited Metabolic Disease. 41(3). 479–487. 45 indexed citations

16.

Lu, Ya‐Wen, Laura C.A. Galbraith, Mia L. Pras‐Raves, et al.. (2016). Defining functional classes of Barth syndrome mutation in humans. Human Molecular Genetics. 25(9). 1754–1770. 56 indexed citations

17.

Herzog, Katharina, Mia L. Pras‐Raves, Martin A. T. Vervaart, et al.. (2016). Lipidomic analysis of fibroblasts from Zellweger spectrum disorder patients identifies disease-specific phospholipid ratios. Journal of Lipid Research. 57(8). 1447–1454. 55 indexed citations

18.

Potze, Lisette, Simone Di Franco, Catarina Grandela, et al.. (2015). Betulinic acid induces a novel cell death pathway that depends on cardiolipin modification. Oncogene. 35(4). 427–437. 57 indexed citations

19.

Vaz, Frédéric M., Mia L. Pras‐Raves, Albert H. Bootsma, & Antoine H. C. van Kampen. (2014). Principles and practice of lipidomics. Journal of Inherited Metabolic Disease. 38(1). 41–52. 32 indexed citations

20.

Hines, Christina S., Kallol Ray, Fei Xiong, et al.. (2014). Allosteric Inhibition of the Neuropeptidase Neurolysin. Journal of Biological Chemistry. 289(51). 35605–35619. 17 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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