Lívia S. Eberlin

9.5k total citations · 2 hit papers
116 papers, 6.9k citations indexed

About

Lívia S. Eberlin is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Lívia S. Eberlin has authored 116 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Spectroscopy, 60 papers in Molecular Biology and 22 papers in Computational Mechanics. Recurrent topics in Lívia S. Eberlin's work include Mass Spectrometry Techniques and Applications (88 papers), Metabolomics and Mass Spectrometry Studies (48 papers) and Advanced Proteomics Techniques and Applications (29 papers). Lívia S. Eberlin is often cited by papers focused on Mass Spectrometry Techniques and Applications (88 papers), Metabolomics and Mass Spectrometry Studies (48 papers) and Advanced Proteomics Techniques and Applications (29 papers). Lívia S. Eberlin collaborates with scholars based in United States, Brazil and Germany. Lívia S. Eberlin's co-authors include R. Graham Cooks, Demian R. Ifa, Allison L. Dill, Clara L. Feider, Christina R. Ferreira, Rachel J. DeHoog, Jialing Zhang, Chunping Wu, Anna Krieger and Marta Sans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Lívia S. Eberlin

112 papers receiving 6.8k citations

Hit Papers

Mass spectrometry imaging under ambient conditions 2012 2026 2016 2021 2012 2019 100 200 300

Peers

Lívia S. Eberlin
Keqi Tang China
Justin M. Wiseman United States
U. Bahr Germany
Jeffrey M. Spraggins United States
Stevan Horning United States
Lívia S. Eberlin
Citations per year, relative to Lívia S. Eberlin Lívia S. Eberlin (= 1×) peers David Touboul

Countries citing papers authored by Lívia S. Eberlin

Since Specialization
Citations

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

Fields of papers citing papers by Lívia S. Eberlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lívia S. Eberlin. 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 Lívia S. Eberlin. The network helps show where Lívia S. Eberlin may publish in the future.

Co-authorship network of co-authors of Lívia S. Eberlin

This figure shows the co-authorship network connecting the top 25 collaborators of Lívia S. Eberlin. A scholar is included among the top collaborators of Lívia S. Eberlin 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 Lívia S. Eberlin. Lívia S. Eberlin 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.
Lin, Chenchu, Yan Shi, Manoj Kushwaha, et al.. (2025). Cholesterol metabolism regulated by CAMKK2-CREB signaling promotes castration-resistant prostate cancer. Cell Reports. 44(6). 115792–115792.
2.
Howard, James R., Mary Etta King, Rachel J. DeHoog, et al.. (2025). A Workflow Enabling the Automated Synthesis, Chain-End Degradation, and Rapid Mass Spectrometry Analysis for Molecular Information Storage in Sequence-Defined Oligourethanes. JACS Au. 5(3). 1232–1242. 3 indexed citations
3.
Towers, Mark, Rachel J. DeHoog, Emrys A. Jones, et al.. (2025). Development of Low-Flow High-Resolution Desorption Electrospray Ionization Mass Spectrometry Imaging. Journal of the American Society for Mass Spectrometry. 37(1). 152–162. 2 indexed citations
4.
King, Mary Etta, et al.. (2023). Aggregated Molecular Phenotype Scores: Enhancing Assessment and Visualization of Mass Spectrometry Imaging Data for Tissue-Based Diagnostics. Analytical Chemistry. 95(34). 12913–12922. 4 indexed citations
5.
Garza, Kyana Y., et al.. (2022). Urine Metabolites Enable Fast Detection of COVID-19 Using Mass Spectrometry. Metabolites. 12(11). 1056–1056. 5 indexed citations
6.
King, Mary Etta, Jialing Zhang, John Q. Lin, et al.. (2021). Rapid diagnosis and tumor margin assessment during pancreatic cancer surgery with the MasSpec Pen technology. Proceedings of the National Academy of Sciences. 118(28). 50 indexed citations
7.
Lin, John Q., Fernando Guimarães, Michael Murgu, et al.. (2020). Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools. International Journal of Molecular Sciences. 21(10). 3611–3611. 24 indexed citations
8.
Zhang, Jialing, et al.. (2019). Mass Spectrometry Imaging Enables Discrimination of Renal Oncocytoma from Renal Cell Cancer Subtypes and Normal Kidney Tissues. Cancer Research. 80(4). 689–698. 45 indexed citations
9.
DeHoog, Rachel J., Jialing Zhang, Elizabeth Alore, et al.. (2019). Preoperative metabolic classification of thyroid nodules using mass spectrometry imaging of fine-needle aspiration biopsies. Proceedings of the National Academy of Sciences. 116(43). 21401–21408. 40 indexed citations
10.
Simoska, Olja, Marta Sans, Christopher M. Crittenden, et al.. (2018). Real-Time Electrochemical Detection of Pseudomonas aeruginosa Phenazine Metabolites Using Transparent Carbon Ultramicroelectrode Arrays. ACS Sensors. 4(1). 170–179. 69 indexed citations
11.
Zhang, Jialing, John Q. Lin, Jonathan H. Young, et al.. (2017). Nondestructive tissue analysis for ex vivo and in vivo cancer diagnosis using a handheld mass spectrometry system. Science Translational Medicine. 9(406). 300 indexed citations
12.
Zhang, Jialing, Wendong Yu, Seung Woo Ryu, et al.. (2016). Cardiolipins Are Biomarkers of Mitochondria-Rich Thyroid Oncocytic Tumors. Cancer Research. 76(22). 6588–6597. 65 indexed citations
13.
Vickman, Renee E., Scott A. Crist, Lívia S. Eberlin, et al.. (2016). Cholesterol Sulfonation Enzyme, SULT2B1b, Modulates AR and Cell Growth Properties in Prostate Cancer. Molecular Cancer Research. 14(9). 776–786. 23 indexed citations
14.
Eberlin, Lívia S., Katherine Margulis, Richard N. Zare, et al.. (2016). Pancreatic Cancer Surgical Resection Margins: Molecular Assessment by Mass Spectrometry Imaging. PLoS Medicine. 13(8). e1002108–e1002108. 77 indexed citations
15.
Badu‐Tawiah, Abraham K., Lívia S. Eberlin, Zheng Ouyang, & R. Graham Cooks. (2013). Chemical Aspects of the Extractive Methods of Ambient Ionization Mass Spectrometry. Annual Review of Physical Chemistry. 64(1). 481–505. 100 indexed citations
16.
Pirro, Valentina, Christina R. Ferreira, Paolo Oliveri, et al.. (2013). Desorption Electrospray Ionization Mass Spectrometry Reveals Lipid Metabolism of Individual Oocytes and Embryos. PLoS ONE. 8(9). e74981–e74981. 66 indexed citations
17.
Pirro, Valentina, Lívia S. Eberlin, Paolo Oliveri, & R. Graham Cooks. (2012). Interactive hyperspectral approach for exploring and interpreting DESI-MS images of cancerous and normal tissue sections. The Analyst. 137(10). 2374–2374. 45 indexed citations
18.
Eberlin, Lívia S., Isaiah Norton, Allison L. Dill, et al.. (2011). Classifying Human Brain Tumors by Lipid Imaging with Mass Spectrometry. Cancer Research. 72(3). 645–654. 241 indexed citations
19.
Dill, Allison L., Lívia S. Eberlin, Demian R. Ifa, & R. Graham Cooks. (2010). Perspectives in imaging using mass spectrometry. Chemical Communications. 47(10). 2741–2746. 53 indexed citations
20.
Chen, Hao, Lívia S. Eberlin, Marcela Nefliu, Rodinei Augusti, & R. Graham Cooks. (2008). Organic Reactions of Ionic Intermediates Promoted by Atmospheric‐Pressure Thermal Activation. Angewandte Chemie International Edition. 47(18). 3422–3425. 64 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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