Eva Duchoslav

3.2k total citations · 1 hit paper
31 papers, 2.4k citations indexed

About

Eva Duchoslav is a scholar working on Spectroscopy, Molecular Biology and Biochemistry. According to data from OpenAlex, Eva Duchoslav has authored 31 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Spectroscopy, 24 papers in Molecular Biology and 4 papers in Biochemistry. Recurrent topics in Eva Duchoslav's work include Metabolomics and Mass Spectrometry Studies (20 papers), Mass Spectrometry Techniques and Applications (20 papers) and Analytical Chemistry and Chromatography (13 papers). Eva Duchoslav is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (20 papers), Mass Spectrometry Techniques and Applications (20 papers) and Analytical Chemistry and Chromatography (13 papers). Eva Duchoslav collaborates with scholars based in United States, Australia and Switzerland. Eva Duchoslav's co-authors include Kim Ekroos, Christer S. Ejsing, Andrej Shevchenko, Kai Simons, Júlio L. Sampaio, Robin W. Klemm, Vineeth Surendranath, R. F. Bonner, Christoph Thiele and Todd W. Mitchell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Analytical Biochemistry.

In The Last Decade

Eva Duchoslav

29 papers receiving 2.3k citations

Hit Papers

Global analysis of the yeast lipidome by quantitative sho... 2009 2026 2014 2020 2009 250 500 750

Peers

Eva Duchoslav
Giorgis Isaac United States
Simona G. Codreanu United States
Bradley L. Ackermann United States
Andris Jankevics United Kingdom
Dong Hae Shin South Korea
Giorgis Isaac United States
Eva Duchoslav
Citations per year, relative to Eva Duchoslav Eva Duchoslav (= 1×) peers Giorgis Isaac

Countries citing papers authored by Eva Duchoslav

Since Specialization
Citations

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

Fields of papers citing papers by Eva Duchoslav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Duchoslav

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Duchoslav. A scholar is included among the top collaborators of Eva Duchoslav 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 Eva Duchoslav. Eva Duchoslav 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
2.
Duchoslav, Eva, et al.. (2022). Fast Electron Detachment Dissociation of Oligonucleotides in Electron-Nitrogen Plasma Stored in Magneto Radio-Frequency Ion Traps. Analytical Chemistry. 94(44). 15510–15517. 8 indexed citations
3.
Yao, Ming, Tingting Cai, Eva Duchoslav, et al.. (2020). Software-aided detection and structural characterization of cyclic peptide metabolites in biological matrix by high-resolution mass spectrometry. Journal of Pharmaceutical Analysis. 10(3). 240–246. 6 indexed citations
4.
Duchoslav, Eva, et al.. (2019). Hybrid SWATH/MS and HR-SRM/MS acquisition for phospholipidomics using QUAL/QUANT data processing. Analytical and Bioanalytical Chemistry. 411(22). 5681–5690. 13 indexed citations
5.
Bruderer, Tobias, Emmanuel Varesio, Eva Duchoslav, et al.. (2018). Metabolomic spectral libraries for data-independent SWATH liquid chromatography mass spectrometry acquisition. Analytical and Bioanalytical Chemistry. 410(7). 1873–1884. 28 indexed citations
6.
Batarseh, Amani, et al.. (2018). Discrimination of isobaric and isomeric lipids in complex mixtures by combining ultra-high pressure liquid chromatography with collision and ozone-induced dissociation. International Journal of Mass Spectrometry. 431. 27–36. 15 indexed citations
7.
Nikitin, Frédéric, Thomas Stricker, Eva Duchoslav, et al.. (2017). Optimization by infusion of multiple reaction monitoring transitions for sensitive quantification of peptides by liquid chromatography/mass spectrometry. Rapid Communications in Mass Spectrometry. 31(9). 753–761. 6 indexed citations
8.
Brown, Simon H. J., Carolina Kunnen, Eva Duchoslav, et al.. (2013). A comparison of patient matched meibum and tear lipidomes. QUT ePrints (Queensland University of Technology). 5 indexed citations
9.
Simons, Brigitte, et al.. (2011). Comparing Global and Targeted Lipid and Fatty Acid Shotgun Profiling of Brain Tissue Extracts by NanoESIInfusion. Journal of Biomolecular Techniques JBT. 22. 1 indexed citations
10.
Bilgin, Mesut, Daniel F. Markgraf, Eva Duchoslav, et al.. (2011). Quantitative profiling of PE, MMPE, DMPE, and PC lipid species by multiple precursor ion scanning: A tool for monitoring PE metabolism. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1811(12). 1081–1089. 28 indexed citations
11.
Ejsing, Christer S., Júlio L. Sampaio, Vineeth Surendranath, et al.. (2009). Global analysis of the yeast lipidome by quantitative shotgun mass spectrometry. Proceedings of the National Academy of Sciences. 106(7). 2136–2141. 790 indexed citations breakdown →
12.
Yao, Ming, Li Ma, Eva Duchoslav, & Mingshe Zhu. (2009). Rapid screening and characterization of drug metabolites using multiple ion monitoring dependent product ion scan and postacquisition data mining on a hybrid triple quadrupole‐linear ion trap mass spectrometer. Rapid Communications in Mass Spectrometry. 23(11). 1683–1693. 37 indexed citations
13.
Murphy, Robert C., et al.. (2007). Qualitative Analysis and Quantitative Assessment of Changes in Neutral Glycerol Lipid Molecular Species Within Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 432. 1–20. 44 indexed citations
14.
Murphy, Robert C., et al.. (2007). Detection of the abundance of diacylglycerol and triacylglycerol molecular species in cells using neutral loss mass spectrometry. Analytical Biochemistry. 366(1). 59–70. 118 indexed citations
15.
Ejsing, Christer S., Thomas J. Moehring, U. Bahr, et al.. (2006). Collision‐induced dissociation pathways of yeast sphingolipids and their molecular profiling in total lipid extracts: a study by quadrupole TOF and linear ion trap–orbitrap mass spectrometry. Journal of Mass Spectrometry. 41(3). 372–389. 90 indexed citations
16.
Janiszewski, John, Kevin M. Whalen, Mark J. Cole, et al.. (2001). A High-Capacity LC/MS System for the Bioanalysis of Samples Generated from Plate-Based Metabolic Screening. Analytical Chemistry. 73(7). 1495–1501. 73 indexed citations
17.
Gergov, Merja, et al.. (2000). Automated liquid chromatographic/tandem mass spectrometric method for screening beta-blocking drugs in urine. International Journal of Mass Spectrometry. 35. 912–918. 3 indexed citations
18.
Gergov, Merja, et al.. (2000). Automated liquid chromatographic/tandem mass spectrometric method for screening ?-blocking drugs in urine. Journal of Mass Spectrometry. 35(7). 912–918. 84 indexed citations
19.
Shushan, Bori, Pierre Marquet, J L Dupuy, et al.. (1999). Development of a Toxicant Screening Procedure Using Liquid Chromatography-Electrospray-Mass-Spectrometry (LC-ESMS). Therapeutic Drug Monitoring. 21(4). 467–467. 3 indexed citations
20.

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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