Anna Pashkova

1.1k total citations
10 papers, 162 citations indexed

About

Anna Pashkova is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Anna Pashkova has authored 10 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Spectroscopy, 6 papers in Molecular Biology and 1 paper in Computational Mechanics. Recurrent topics in Anna Pashkova's work include Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Anna Pashkova is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Anna Pashkova collaborates with scholars based in United States, Germany and Netherlands. Anna Pashkova's co-authors include Barry L. Karger, Eugene Moskovets, Tomáš Rejtar, В. К. Андреев, František Foret, Roger W. Giese, Victor P. Andreev, Aimin Tan, Li Zang and Eugen Damoc and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Analytical Chemistry.

In The Last Decade

Anna Pashkova

8 papers receiving 155 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Pashkova United States 6 137 83 20 12 9 10 162
Vincen Wu United Kingdom 6 124 0.9× 107 1.3× 21 1.1× 21 1.8× 4 0.4× 7 197
David Butcher United States 8 120 0.9× 98 1.2× 18 0.9× 11 0.9× 7 0.8× 15 187
Efstathios A. Elia United Kingdom 10 152 1.1× 59 0.7× 41 2.0× 29 2.4× 7 0.8× 15 192
E. Ayala Ecuador 2 40 0.3× 47 0.6× 15 0.8× 6 0.5× 8 0.9× 3 68
Chelsea J. Nikula United Kingdom 6 86 0.6× 77 0.9× 17 0.8× 17 1.4× 3 0.3× 9 146
Jane Razumovskaya United States 4 147 1.1× 143 1.7× 21 1.1× 4 0.3× 16 1.8× 6 200
Gary Lavine United States 6 65 0.5× 182 2.2× 10 0.5× 4 0.3× 4 0.4× 7 212
Suncerae I. Smith United States 9 259 1.9× 197 2.4× 13 0.7× 5 0.4× 7 0.8× 12 329
M. Stein Germany 7 63 0.5× 98 1.2× 114 5.7× 24 2.0× 4 0.4× 11 204
Kenta Hirai Japan 4 46 0.3× 54 0.7× 18 0.9× 4 0.3× 3 0.3× 7 103

Countries citing papers authored by Anna Pashkova

Since Specialization
Citations

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

Fields of papers citing papers by Anna Pashkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Pashkova

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

All Works

10 of 10 papers shown
1.
Hsu, Chris, Nicholas Shulman, Hamish Stewart, et al.. (2025). Evaluation of a Prototype Orbitrap Astral Zoom Mass Spectrometer for Quantitative Proteomics─Beyond Identification Lists. Journal of Proteome Research. 24(11). 5742–5754.
2.
Zeller, Martin, Anna Pashkova, Eugen Damoc, et al.. (2025). In-depth plasma N-glycoproteome profiling using narrow-window data-independent acquisition on the Orbitrap Astral mass spectrometer. Nature Communications. 16(1). 2497–2497. 7 indexed citations
3.
Serrano, Lia R., Trenton M. Peters-Clarke, Tabiwang N. Arrey, et al.. (2024). The One Hour Human Proteome. Molecular & Cellular Proteomics. 23(5). 100760–100760. 23 indexed citations
4.
Yu, Xuan, Anna Pashkova, Mark Zeller, et al.. (2024). B-146 Unlocking the potential of large-cohort proteomics studies with the Orbitrap Astral mass platform. Clinical Chemistry. 70(Supplement_1). 1 indexed citations
6.
Fu, Qin, Niveda Sundararaman, Eugen Damoc, et al.. (2024). A Proteomics Pipeline for Generating Clinical Grade Biomarker Candidates from Data‐Independent Acquisition Mass Spectrometry (DIA‐MS) Discovery. Angewandte Chemie International Edition. 63(52). e202409446–e202409446. 3 indexed citations
7.
Pashkova, Anna, Tomáš Rejtar, Roger W. Giese, et al.. (2005). Coumarin Tags for Analysis of Peptides by MALDI-TOF MS and MS/MS. 2. Alexa Fluor 350 Tag for Increased Peptide and Protein Identification by LC-MALDI-TOF/TOF MS. Analytical Chemistry. 77(7). 2085–2096. 34 indexed citations
8.
Pashkova, Anna, Eugene Moskovets, & Barry L. Karger. (2004). Coumarin Tags for Improved Analysis of Peptides by MALDI-TOF MS and MS/MS. 1. Enhancement in MALDI MS Signal Intensities. Analytical Chemistry. 76(15). 4550–4557. 50 indexed citations
10.
Tan, Aimin, Anna Pashkova, Li Zang, František Foret, & Barry L. Karger. (2002). A miniaturized multichamber solution isoelectric focusing device for separation of protein digests. Electrophoresis. 23(20). 3599–3607. 22 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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