Justyna Wolak-Dinsmore

1.2k total citations
12 papers, 923 citations indexed

About

Justyna Wolak-Dinsmore is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Justyna Wolak-Dinsmore has authored 12 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Physiology. Recurrent topics in Justyna Wolak-Dinsmore's work include Metabolomics and Mass Spectrometry Studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Metabolism and Genetic Disorders (3 papers). Justyna Wolak-Dinsmore is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Metabolism and Genetic Disorders (3 papers). Justyna Wolak-Dinsmore collaborates with scholars based in United States and Netherlands. Justyna Wolak-Dinsmore's co-authors include Margery A. Connelly, Irina Shalaurova, James D. Otvos, Rachel H. Mackey, James H. Stein, Russell P. Tracy, Steven P. Matyus, Robin P.F. Dullaart, Stephan J. L. Bakker and Eke G. Gruppen and has published in prestigious journals such as Clinical Chemistry, Nutrients and Clinica Chimica Acta.

In The Last Decade

Justyna Wolak-Dinsmore

12 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justyna Wolak-Dinsmore United States	11	354	288	275	247	148	12	923
Jose L. Flores‐Guerrero Netherlands	17	287 0.8×	261 0.9×	215 0.8×	220 0.9×	103 0.7×	36	808
Raimund Pechlaner Austria	16	437 1.2×	152 0.5×	262 1.0×	182 0.7×	206 1.4×	48	1.2k
Yuan Xu China	19	305 0.9×	170 0.6×	352 1.3×	361 1.5×	133 0.9×	51	1.1k
Jacqueline T. Jonker Netherlands	16	228 0.6×	436 1.5×	313 1.1×	281 1.1×	221 1.5×	32	1.2k
Akintunde O. Akinkuolie United States	20	315 0.9×	230 0.8×	264 1.0×	431 1.7×	384 2.6×	30	1.4k
Carine M. Boustany‐Kari United States	17	407 1.1×	156 0.5×	180 0.7×	262 1.1×	118 0.8×	20	1.3k
Claudia Ress Austria	18	143 0.4×	266 0.9×	341 1.2×	197 0.8×	184 1.2×	32	866
Mariann I. Lassenius Finland	14	282 0.8×	253 0.9×	157 0.6×	102 0.4×	117 0.8×	40	870
Ivette Cruz‐Bautista Mexico	18	395 1.1×	258 0.9×	351 1.3×	494 2.0×	302 2.0×	46	1.4k
Ida Gregersen Norway	15	573 1.6×	288 1.0×	142 0.5×	73 0.3×	121 0.8×	27	1.1k

Countries citing papers authored by Justyna Wolak-Dinsmore

Since Specialization

Citations

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

Fields of papers citing papers by Justyna Wolak-Dinsmore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justyna Wolak-Dinsmore. 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 Justyna Wolak-Dinsmore. The network helps show where Justyna Wolak-Dinsmore may publish in the future.

Co-authorship network of co-authors of Justyna Wolak-Dinsmore

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

All Works

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12 of 12 papers shown

Matyus, Steven P., et al.. (2022). Vantera Mediated Quantification of Urine Citrate and Creatinine: A New Technology to Assess Risk of Nephrolithiasis. Diagnostics. 12(11). 2606–2606. 1 indexed citations

Garcia, Erwin, et al.. (2021). Quantification of choline in serum and plasma using a clinical nuclear magnetic resonance analyzer. Clinica Chimica Acta. 524. 106–112. 20 indexed citations

Garcia, Erwin, Dennis W. Bennett, Margery A. Connelly, et al.. (2020). The extended lipid panel assay: a clinically-deployed high-throughput nuclear magnetic resonance method for the simultaneous measurement of lipids and Apolipoprotein B. Lipids in Health and Disease. 19(1). 247–247. 35 indexed citations

Berg, Eline H. van den, Jose L. Flores‐Guerrero, Eke G. Gruppen, et al.. (2019). Non-Alcoholic Fatty Liver Disease and Risk of Incident Type 2 Diabetes: Role of Circulating Branched-Chain Amino Acids. Nutrients. 11(3). 705–705. 74 indexed citations

Wolak-Dinsmore, Justyna, Eke G. Gruppen, Irina Shalaurova, et al.. (2018). A novel NMR-based assay to measure circulating concentrations of branched-chain amino acids: Elevation in subjects with type 2 diabetes mellitus and association with carotid intima media thickness. Clinical Biochemistry. 54. 92–99. 77 indexed citations

Flores‐Guerrero, Jose L., Maryse C.J. Osté, Lyanne M. Kieneker, et al.. (2018). Plasma Branched-Chain Amino Acids and Risk of Incident Type 2 Diabetes: Results from the PREVEND Prospective Cohort Study. Journal of Clinical Medicine. 7(12). 513–513. 64 indexed citations

Garcia, Erwin, Justyna Wolak-Dinsmore, Zeneng Wang, et al.. (2017). NMR quantification of trimethylamine-N-oxide in human serum and plasma in the clinical laboratory setting. Clinical Biochemistry. 50(16-17). 947–955. 47 indexed citations

Connelly, Margery A., Justyna Wolak-Dinsmore, & Robin P.F. Dullaart. (2017). Branched Chain Amino Acids Are Associated with Insulin Resistance Independent of Leptin and Adiponectin in Subjects with Varying Degrees of Glucose Tolerance. Metabolic Syndrome and Related Disorders. 15(4). 183–186. 51 indexed citations

Connelly, Margery A., Eke G. Gruppen, Justyna Wolak-Dinsmore, et al.. (2015). GlycA, a marker of acute phase glycoproteins, and the risk of incident type 2 diabetes mellitus: PREVEND study. Clinica Chimica Acta. 452. 10–17. 81 indexed citations

10.

Otvos, James D., Irina Shalaurova, Justyna Wolak-Dinsmore, et al.. (2015). GlycA: A Composite Nuclear Magnetic Resonance Biomarker of Systemic Inflammation. Clinical Chemistry. 61(5). 714–723. 295 indexed citations

11.

Matyus, Steven P., Paul Braun, Justyna Wolak-Dinsmore, et al.. (2014). NMR measurement of LDL particle number using the Vantera® Clinical Analyzer. Clinical Biochemistry. 47(16-17). 203–210. 125 indexed citations

12.

Matyus, Steven P., Paul Braun, Justyna Wolak-Dinsmore, et al.. (2014). HDL particle number measured on the Vantera®, the first clinical NMR analyzer. Clinical Biochemistry. 48(3). 148–155. 53 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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