Stefani N. Thomas

7.3k total citations
61 papers, 2.1k citations indexed

About

Stefani N. Thomas is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Stefani N. Thomas has authored 61 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 19 papers in Spectroscopy and 10 papers in Physiology. Recurrent topics in Stefani N. Thomas's work include Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (11 papers) and Alzheimer's disease research and treatments (9 papers). Stefani N. Thomas is often cited by papers focused on Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (11 papers) and Alzheimer's disease research and treatments (9 papers). Stefani N. Thomas collaborates with scholars based in United States, Germany and Switzerland. Stefani N. Thomas's co-authors include Austin J. Yang, Frank Yang, Daniel W. Chan, Lori J. Sokoll, Christopher A. Crutchfield, Peter Davies, Young Y. Jeng, Zhongping Liao, Hui Zhang and Jeff Kuret and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Stefani N. Thomas

57 papers receiving 2.1k citations

Peers

Stefani N. Thomas
Sricharan Bandhakavi United States
Shajna Begum United Kingdom
Mark Larance Australia
Chun‐Seok Cho United States
Sun‐Il Hwang United States
Richard Foster United Kingdom
Young‐Gyu Ko South Korea
Robert W. Sprung United States
Sricharan Bandhakavi United States
Stefani N. Thomas
Citations per year, relative to Stefani N. Thomas Stefani N. Thomas (= 1×) peers Sricharan Bandhakavi

Countries citing papers authored by Stefani N. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Stefani N. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefani N. Thomas. 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 Stefani N. Thomas. The network helps show where Stefani N. Thomas may publish in the future.

Co-authorship network of co-authors of Stefani N. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Stefani N. Thomas. A scholar is included among the top collaborators of Stefani N. Thomas 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 Stefani N. Thomas. Stefani N. Thomas 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.
Parada, Humberto, Ilir Agalliu, Daniela Sotres‐Alvarez, et al.. (2025). Cancer Incidence in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)—The Onco-SOL Ancillary Study. Cancer Epidemiology Biomarkers & Prevention. 34(4). 491–499.
2.
Ryu, Joohyun, Mihir Shetty, Pádraig D’Arcy, et al.. (2025). Proteomic Analysis of ARID1A-Deficient Ovarian Clear Cell Carcinoma Cells Reveals Differential Mitochondria ETC Subunit Abundances and Targetable Mitochondrial Pathways. International Journal of Molecular Sciences. 26(12). 5466–5466.
3.
Ryu, Joohyun, Mihir Shetty, Subina Mehta, et al.. (2025). Investigating proteogenomic divergence in patient-derived xenograft models of ovarian cancer. Scientific Reports. 15(1). 813–813. 2 indexed citations
4.
Erickson, Britt, et al.. (2025). Opportunities for predictive proteogenomic biomarkers of drug treatment sensitivity in epithelial ovarian cancer. Frontiers in Oncology. 14. 1503107–1503107.
5.
Ryu, Joohyun, et al.. (2024). Quantification of putative ovarian cancer serum protein biomarkers using a multiplexed targeted mass spectrometry assay. Clinical Proteomics. 21(1). 1–1. 1 indexed citations
6.
Thyagarajan, Bharat, et al.. (2023). Targeted electronic health record-based recruitment strategy to enhance COVID-19 vaccine response clinical research study enrollment. Contemporary Clinical Trials Communications. 37. 101250–101250.
7.
Thomas, Stefani N., et al.. (2022). Liquid chromatography–tandem mass spectrometry for clinical diagnostics. Nature Reviews Methods Primers. 2(1). 96–96. 118 indexed citations
8.
Guan, Weihua, et al.. (2021). Proteomic Analysis Reveals Low-Dose PARP Inhibitor-Induced Differential Protein Expression in BRCA1-Mutated High-Grade Serous Ovarian Cancer Cells. Journal of the American Society for Mass Spectrometry. 33(2). 242–250. 5 indexed citations
9.
Thomas, Stefani N., Kathryn A. Pape, Jennifer M. Peters, et al.. (2021). Initial determination of COVID-19 seroprevalence among outpatients and healthcare workers in Minnesota using a novel SARS-CoV-2 total antibody ELISA. Clinical Biochemistry. 90. 15–22. 11 indexed citations
10.
Sun, Shisheng, Yingwei Hu, Minghui Ao, et al.. (2019). N-GlycositeAtlas: a database resource for mass spectrometry-based human N-linked glycoprotein and glycosylation site mapping. Clinical Proteomics. 16(1). 35–35. 73 indexed citations
11.
Jiang, Hanjie, et al.. (2019). Comparative analysis of the catalytic regulation of NEDD4-1 and WWP2 ubiquitin ligases. Journal of Biological Chemistry. 294(46). 17421–17436. 26 indexed citations
12.
Thomas, Stefani N. & Austin J. Yang. (2016). Mass Spectrometry Analysis of Lysine Posttranslational Modifications of Tau Protein from Alzheimer’s Disease Brain. Methods in molecular biology. 1523. 161–177. 12 indexed citations
13.
Crutchfield, Christopher A., Stefani N. Thomas, Lori J. Sokoll, & Daniel W. Chan. (2016). Advances in mass spectrometry-based clinical biomarker discovery. Clinical Proteomics. 13(1). 1–1. 200 indexed citations
14.
Aiyetan, Paul, Stefani N. Thomas, Zhen Zhang, & Hui Zhang. (2015). MRMPlus: an open source quality control and assessment tool for SRM/MRM assay development. BMC Bioinformatics. 16(1). 411–411. 10 indexed citations
15.
Liao, Zhongping, Barbara Dziegielewska, Stefani N. Thomas, et al.. (2012). Phosphorylation of Serine 51 Regulates the Interaction of Human DNA Ligase I with Replication Factor C and Its Participation in DNA Replication and Repair. Journal of Biological Chemistry. 287(44). 36711–36719. 11 indexed citations
16.
Thomas, Stefani N., Yunhu Wan, Zhongping Liao, Phyllis I. Hanson, & Austin J. Yang. (2011). Stable Isotope Labeling with Amino Acids in Cell Culture Based Mass Spectrometry Approach to Detect Transient Protein Interactions Using Substrate Trapping. Analytical Chemistry. 83(14). 5511–5518. 7 indexed citations
18.
Thomas, Stefani N., et al.. (2006). Alzheimer Disease-specific Conformation of Hyperphosphorylated Paired Helical Filament-Tau Is Polyubiquitinated through Lys-48, Lys-11, and Lys-6 Ubiquitin Conjugation. Journal of Biological Chemistry. 281(16). 10825–10838. 254 indexed citations
19.
Thomas, Stefani N., Brian A. Soreghan, Mihaela Nistor, et al.. (2005). Reduced neuronal expression of synaptic transmission modulator HNK‐1/neural cell adhesion molecule as a potential consequence of amyloid β‐mediated oxidative stress: a proteomic approach. Journal of Neurochemistry. 92(4). 705–717. 21 indexed citations
20.
Soreghan, Brian A., et al.. (2004). Rapid Characterization of Amyloid-β Side-Chain Oxidation by Tandem Mass Spectrometry and the Scoring Algorithm for Spectral Analysis. Pharmaceutical Research. 21(7). 1094–1102. 15 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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