Petia Shipkova

3.2k total citations · 1 hit paper
59 papers, 2.2k citations indexed

About

Petia Shipkova is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Petia Shipkova has authored 59 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Spectroscopy and 13 papers in Oncology. Recurrent topics in Petia Shipkova's work include Metabolomics and Mass Spectrometry Studies (14 papers), Mass Spectrometry Techniques and Applications (12 papers) and Analytical Chemistry and Chromatography (10 papers). Petia Shipkova is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (14 papers), Mass Spectrometry Techniques and Applications (12 papers) and Analytical Chemistry and Chromatography (10 papers). Petia Shipkova collaborates with scholars based in United States, Germany and Sweden. Petia Shipkova's co-authors include Xiaoqin Liu, Elin Org, Aldons J. Lusis, Thomas A. Drake, Brian W. Parks, Margarete Mehrabian, Michael D. Reily, Donald G. Robertson, Nelly Aranı́bar and Nathan J. Cherrington and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Biochemistry.

In The Last Decade

Petia Shipkova

58 papers receiving 2.1k 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.

Sex differences and hormonal effects on gut microbiota composition in mice

2016 567 citations Petia Shipkova, Xiaoqin Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Petia Shipkova United States	23	1.2k	430	413	380	246	59	2.2k
Clementina Mesaros United States	30	1.6k 1.4×	276 0.6×	195 0.5×	516 1.4×	230 0.9×	129	3.4k
Daniel Monleón Spain	34	1.7k 1.5×	250 0.6×	395 1.0×	466 1.2×	174 0.7×	110	3.3k
Jérôme Guitton France	31	974 0.8×	536 1.2×	140 0.3×	161 0.4×	274 1.1×	165	2.8k
Han Roelofsen Netherlands	28	1.5k 1.2×	818 1.9×	527 1.3×	847 2.2×	145 0.6×	53	3.3k
Hitoshi Chiba Japan	31	1.5k 1.3×	228 0.5×	451 1.1×	486 1.3×	304 1.2×	232	3.4k
Aldrin V. Gomes United States	48	3.3k 2.8×	399 0.9×	514 1.2×	475 1.3×	240 1.0×	115	5.6k
Yoshiaki Hashimoto Japan	33	1.7k 1.5×	288 0.7×	252 0.6×	320 0.8×	100 0.4×	195	4.2k
José Remacle Belgium	26	1.2k 1.0×	248 0.6×	164 0.4×	469 1.2×	106 0.4×	69	2.9k
Claude Wolf France	36	2.3k 1.9×	205 0.5×	212 0.5×	552 1.5×	132 0.5×	112	3.7k
Hong Lü United States	30	1.0k 0.9×	716 1.7×	408 1.0×	184 0.5×	67 0.3×	131	2.9k

Countries citing papers authored by Petia Shipkova

Since Specialization

Citations

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

Fields of papers citing papers by Petia Shipkova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petia Shipkova

This figure shows the co-authorship network connecting the top 25 collaborators of Petia Shipkova. A scholar is included among the top collaborators of Petia Shipkova 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 Petia Shipkova. Petia Shipkova 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

Zhang, Yueping, Petia Shipkova, Bethanne M. Warrack, et al.. (2023). Metabolomic Profiling and Drug Interaction Characterization Reveal Riboflavin As a Breast Cancer Resistance Protein–Specific Endogenous Biomarker That Demonstrates Prediction of Transporter Activity In Vivo. Drug Metabolism and Disposition. 51(7). 851–861. 11 indexed citations

Ciccimaro, Eugene, et al.. (2020). A Peptide Immunoaffinity LC–MS/MS Strategy for Quantifying the GPCR Protein, S1PR1 in Human Colon Biopsies. Bioanalysis. 12(18). 1311–1324. 3 indexed citations

Olah, Timothy, et al.. (2020). Immunoaffinity Enrichment Lc–Ms/Ms Quantitation Ofcdh17 in Tissues. Bioanalysis. 12(20). 1439–1447. 2 indexed citations

Luo, Yi, Edgar D. Charles, Petia Shipkova, et al.. (2019). FRI-323-Pegbelfermin (BMS-986036) reduces serum levels of secondary bile acids in patients with non-alcoholic steatohepatitis. Journal of Hepatology. 70(1). e538–e538. 1 indexed citations

Shen, Hong, Vinay K. Holenarsipur, T. Thanga Mariappan, et al.. (2018). Evidence for the Validity of Pyridoxic Acid (PDA) as a Plasma-Based Endogenous Probe for OAT1 and OAT3 Function in Healthy Subjects. Journal of Pharmacology and Experimental Therapeutics. 368(1). 136–145. 45 indexed citations

Shen, Hong, David M. Nelson, Regina V. Oliveira, et al.. (2017). Discovery and Validation of Pyridoxic Acid and Homovanillic Acid as Novel Endogenous Plasma Biomarkers of Organic Anion Transporter (OAT) 1 and OAT3 in Cynomolgus Monkeys. Drug Metabolism and Disposition. 46(2). 178–188. 38 indexed citations

Zheng, Joanna J., David M. Nelson, Timothy Olah, et al.. (2016). The utility of stable isotope labeled (SIL) analogues in the bioanalysis of endogenous compounds by LC-MS applied to the study of bile acids in a metabolomics assay. Analytical Biochemistry. 503. 71–78. 15 indexed citations

Washburn, Dorothy K., William N. Washburn, Petia Shipkova, & Mary Ann Pelleymounter. (2014). Chemical analysis of cacao residues in archaeological ceramics from North America: considerations of contamination, sample size and systematic controls. Journal of Archaeological Science. 50. 191–207. 23 indexed citations

Parker, Rex A., Ricardo Garcı́a, Carol S. Ryan, et al.. (2013). Bile acid and sterol metabolism with combined HMG-CoA reductase and PCSK9 suppression. Journal of Lipid Research. 54(9). 2400–2409. 30 indexed citations

10.

Clarke, John, Petr Novák, April D. Lake, et al.. (2013). Characterization of Hepatocellular Carcinoma Related Genes and Metabolites in Human Nonalcoholic Fatty Liver Disease. Digestive Diseases and Sciences. 59(2). 365–374. 33 indexed citations

11.

Wang, Aiying, Charles R. Dorso, Lisa M. Kopcho, et al.. (2012). Potency, selectivity and prolonged binding of saxagliptin to DPP4: maintenance of DPP4 inhibition by saxagliptin in vitro and ex vivo when compared to a rapidly-dissociating DPP4 inhibitor. BMC Pharmacology. 12(1). 2–2. 49 indexed citations

12.

Behnia, Kamelia, Georgia Cornelius, Jian Wang, et al.. (2011). Estimation of the Extent ofin VivoFormation of a Mutagenic Aromatic Amine from a Potent Thyromimetic Compound: Correlation ofin Vitroandin VivoFindings. Chemical Research in Toxicology. 24(6). 905–912. 2 indexed citations

13.

Onorato, Joelle M., Luping Chen, Petia Shipkova, et al.. (2010). Liquid-liquid extraction coupled with LC/MS/MS for monitoring of malonyl-CoA in rat brain tissue. Analytical and Bioanalytical Chemistry. 397(7). 3137–3142. 16 indexed citations

14.

Drexler, Dieter M., Michael D. Reily, & Petia Shipkova. (2010). Advances in mass spectrometry applied to pharmaceutical metabolomics. Analytical and Bioanalytical Chemistry. 399(8). 2645–2653. 50 indexed citations

15.

Onorato, Joelle M., Robert A. Langish, Petia Shipkova, et al.. (2008). A novel method for the determination of 1,5-anhydroglucitol, a glycemic marker, in human urine utilizing hydrophilic interaction liquid chromatography/MS3. Journal of Chromatography B. 873(2). 144–150. 20 indexed citations

16.

Drexler, Dieter M., Kenneth E.J. Dickinson, Serhiy Hnatyshyn, et al.. (2007). An Automated High Throughput Liquid Chromatography–Mass Spectrometry Process to Assess the Metabolic Stability of Drug Candidates. Assay and Drug Development Technologies. 5(2). 247–264. 22 indexed citations

17.

Sanders, Mark, Petia Shipkova, Haiying Zhang, & Bethanne M. Warrack. (2006). Utility of the Hybrid LTQ-FTMS for Drug Metabolism Applications. Current Drug Metabolism. 7(5). 547–555. 32 indexed citations

18.

Chu, Min, Ronald Mierzwa, Ling He, et al.. (2001). Isolation and structure elucidation of two novel deformylase inhibitors produced by Streptomyces sp.. Tetrahedron Letters. 42(21). 3549–3551. 14 indexed citations

19.

Shipkova, Petia, Larry Heimark, Peter L. Bartner, et al.. (2000). High-resolution LC/MS for analysis of minor components in complex mixtures: negative ion ESI for identification of impurities and degradation products of a novel oligosaccharide antibiotic. Journal of Mass Spectrometry. 35(11). 1252–1258. 19 indexed citations

20.

Shipkova, Petia, et al.. (1978). Biochemical methods for the assessment of the selectivity of proteinuria. International Urology and Nephrology. 10(3). 245–249. 6 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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