Miriam Sindelar

1.5k total citations · 1 hit paper
17 papers, 1.0k citations indexed

About

Miriam Sindelar is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Miriam Sindelar has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Biomedical Engineering. Recurrent topics in Miriam Sindelar's work include Metabolomics and Mass Spectrometry Studies (8 papers), Advanced Chemical Sensor Technologies (4 papers) and Isotope Analysis in Ecology (3 papers). Miriam Sindelar is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Advanced Chemical Sensor Technologies (4 papers) and Isotope Analysis in Ecology (3 papers). Miriam Sindelar collaborates with scholars based in United States, Germany and France. Miriam Sindelar's co-authors include Gary J. Patti, Ethan Stancliffe, Steven S. Gross, Michaela Schwaiger-Haber, Samie R. Jaffrey, Klaus T. Wanner, Brandon D. Kayser, Terri Pietka, Samuel Klein and Michael P. Franczyk and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Miriam Sindelar

17 papers receiving 1.0k citations

Hit Papers

Nicotinamide mononucleotide increases muscle insulin sens... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miriam Sindelar United States 15 724 169 135 133 128 17 1.0k
Cameron O. Scarlett United States 17 491 0.7× 61 0.4× 125 0.9× 94 0.7× 83 0.6× 30 1.0k
Andrea Galmozzi United States 19 1.0k 1.4× 85 0.5× 111 0.8× 374 2.8× 66 0.5× 31 1.8k
Clint D.J. Tavares United States 18 1.1k 1.5× 157 0.9× 33 0.2× 273 2.1× 48 0.4× 24 1.6k
Sebastiano Intagliata Italy 22 676 0.9× 82 0.5× 69 0.5× 75 0.6× 17 0.1× 53 1.0k
James J. Ellinger United States 13 451 0.6× 34 0.2× 238 1.8× 187 1.4× 72 0.6× 16 716
Jingjing Shi China 14 301 0.4× 57 0.3× 43 0.3× 84 0.6× 66 0.5× 56 764
Michele Azzolini Italy 20 477 0.7× 50 0.3× 212 1.6× 163 1.2× 11 0.1× 29 906
Cristina Godio Italy 19 991 1.4× 126 0.7× 37 0.3× 348 2.6× 23 0.2× 27 1.7k
Μαργαρίτα Τενοπούλου United States 12 739 1.0× 80 0.5× 15 0.1× 431 3.2× 87 0.7× 18 1.3k
Mitesh Sanghvi United States 18 366 0.5× 21 0.1× 82 0.6× 132 1.0× 44 0.3× 29 994

Countries citing papers authored by Miriam Sindelar

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Sindelar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Sindelar

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

All Works

17 of 17 papers shown
1.
Pan, Yuanlong, et al.. (2024). Effects of Dietary Medium-Chain Triglyceride Supplementation on the Serum Metabolome of Young Adult and Senior Canines. Animals. 14(24). 3577–3577. 1 indexed citations
2.
Stein, Benjamin D., Eric E. Gardner, Jae Won Chang, et al.. (2023). LKB1-Dependent Regulation of TPI1 Creates a Divergent Metabolic Liability between Human and Mouse Lung Adenocarcinoma. Cancer Discovery. 13(4). 1002–1025. 20 indexed citations
3.
Stancliffe, Ethan, et al.. (2022). An Untargeted Metabolomics Workflow that Scales to Thousands of Samples for Population-Based Studies. Analytical Chemistry. 94(50). 17370–17378. 17 indexed citations
4.
Schwaiger-Haber, Michaela, Ethan Stancliffe, Valerie Arends, et al.. (2021). A Workflow to Perform Targeted Metabolomics at the Untargeted Scale on a Triple Quadrupole Mass Spectrometer. SHILAP Revista de lepidopterología. 1(1). 35–45. 32 indexed citations
5.
Stancliffe, Ethan, Michaela Schwaiger-Haber, Miriam Sindelar, & Gary J. Patti. (2021). DecoID improves identification rates in metabolomics through database-assisted MS/MS deconvolution. Nature Methods. 18(7). 779–787. 51 indexed citations
6.
Sindelar, Miriam, Ethan Stancliffe, Michaela Schwaiger-Haber, et al.. (2021). Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity. Cell Reports Medicine. 2(8). 100369–100369. 82 indexed citations
7.
Yoshino, Mihoko, Jun Yoshino, Brandon D. Kayser, et al.. (2021). Nicotinamide mononucleotide increases muscle insulin sensitivity in prediabetic women. Science. 372(6547). 1224–1229. 259 indexed citations breakdown →
8.
Cho, Kevin, Michaela Schwaiger-Haber, Fuad J. Naser, et al.. (2021). Targeting unique biological signals on the fly to improve MS/MS coverage and identification efficiency in metabolomics. Analytica Chimica Acta. 1149. 338210–338210. 25 indexed citations
9.
Sindelar, Miriam & Gary J. Patti. (2020). Chemical Discovery in the Era of Metabolomics. Journal of the American Chemical Society. 142(20). 9097–9105. 112 indexed citations
10.
Yao, Cong-Hui, Lingjue Wang, Ethan Stancliffe, et al.. (2019). Dose-Response Metabolomics To Understand Biochemical Mechanisms and Off-Target Drug Effects with the TOXcms Software. Analytical Chemistry. 92(2). 1856–1864. 29 indexed citations
11.
Mauer, Jan, Miriam Sindelar, Vladimir Despic, et al.. (2019). FTO controls reversible m6Am RNA methylation during snRNA biogenesis. Nature Chemical Biology. 15(4). 340–347. 205 indexed citations
12.
Grozhik, Anya V., Anthony O. Olarerin-George, Miriam Sindelar, et al.. (2019). Antibody cross-reactivity accounts for widespread appearance of m1A in 5’UTRs. Nature Communications. 10(1). 5126–5126. 83 indexed citations
13.
Sindelar, Miriam, Jonathan P. Dyke, Ruba S. Deeb, et al.. (2018). Untargeted Metabolite Profiling of Cerebrospinal Fluid Uncovers Biomarkers for Severity of Late Infantile Neuronal Ceroid Lipofuscinosis (CLN2, Batten Disease). Scientific Reports. 8(1). 20 indexed citations
14.
Wein, Thomas, Lars Allmendinger, Miriam Sindelar, et al.. (2015). Development of Highly Potent GAT1 Inhibitors: Synthesis of Nipecotic Acid Derivatives by Suzuki–Miyaura Cross‐Coupling Reactions. ChemMedChem. 11(5). 519–538. 27 indexed citations
15.
Sindelar, Miriam, et al.. (2013). Focused Pseudostatic Hydrazone Libraries Screened by Mass Spectrometry Binding Assay: Optimizing Affinities toward γ-Aminobutyric Acid Transporter 1. Journal of Medicinal Chemistry. 56(3). 1323–1340. 44 indexed citations
17.
Sindelar, Miriam, et al.. (1994). [The first coitus as an outcome indicator].. PubMed. 133(9). 266–7. 2 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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