Dana Pascovici

2.4k total citations
57 papers, 1.6k citations indexed

About

Dana Pascovici is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, Dana Pascovici has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 22 papers in Spectroscopy and 14 papers in Plant Science. Recurrent topics in Dana Pascovici's work include Advanced Proteomics Techniques and Applications (22 papers), Metabolomics and Mass Spectrometry Studies (13 papers) and Mass Spectrometry Techniques and Applications (9 papers). Dana Pascovici is often cited by papers focused on Advanced Proteomics Techniques and Applications (22 papers), Metabolomics and Mass Spectrometry Studies (13 papers) and Mass Spectrometry Techniques and Applications (9 papers). Dana Pascovici collaborates with scholars based in Australia, United States and Iran. Dana Pascovici's co-authors include Paul A. Haynes, Mehdi Mirzaei, Brian J. Atwell, Jemma Wu, Mark P. Molloy, Tim Keighley, Thiri Zaw, Joel M. Chick, Karthik Shantharam Kamath and Yunqi Wu and has published in prestigious journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Dana Pascovici

56 papers receiving 1.6k citations

Peers

Dana Pascovici
Uma K. Aryal United States
Sean J. McIlwain United States
Katja Baerenfaller Switzerland
Cristina Chiva Spain
Alamgir Khan Australia
Chunyuan Yang China
Andrew R. Bottrill United Kingdom
Tom Berkelman United States
Anton Posch Germany
Uma K. Aryal United States
Dana Pascovici
Citations per year, relative to Dana Pascovici Dana Pascovici (= 1×) peers Uma K. Aryal

Countries citing papers authored by Dana Pascovici

Since Specialization
Citations

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

Fields of papers citing papers by Dana Pascovici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Pascovici

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Pascovici. A scholar is included among the top collaborators of Dana Pascovici 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 Dana Pascovici. Dana Pascovici 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.
Lucas, Natasha, et al.. (2024). Investigating the Use of Novel Blood Processing Methods to Boost the Identification of Biomarkers for Non-Small Cell Lung Cancer: A Proof of Concept. Journal of Proteome Research. 24(1). 344–355. 2 indexed citations
2.
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Ahn, Seong Beom, Karthik Shantharam Kamath, Abidali Mohamedali, et al.. (2021). Use of a Recombinant Biomarker Protein DDA Library Increases DIA Coverage of Low Abundance Plasma Proteins. Journal of Proteome Research. 20(5). 2374–2389. 10 indexed citations
4.
Wu, Jemma, Dana Pascovici, Yunqi Wu, Adam K. Walker, & Mehdi Mirzaei. (2021). Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data. Methods in molecular biology. 2426. 375–390. 2 indexed citations
5.
Deng, Liting, Chitra Joseph, Veer Bala Gupta, et al.. (2019). Amyloid β Induces Early Changes in the Ribosomal Machinery, Cytoskeletal Organization and Oxidative Phosphorylation in Retinal Photoreceptor Cells. Frontiers in Molecular Neuroscience. 12. 24–24. 27 indexed citations
6.
Mirzaei, Mehdi, Liting Deng, Nitin Chitranshi, et al.. (2019). Upregulation of Proteolytic Pathways and Altered Protein Biosynthesis Underlie Retinal Pathology in a Mouse Model of Alzheimer’s Disease. Molecular Neurobiology. 56(9). 6017–6034. 46 indexed citations
7.
Pascovici, Dana, Jemma Wu, Matthew J. McKay, et al.. (2018). Clinically Relevant Post-Translational Modification Analyses—Maturing Workflows and Bioinformatics Tools. International Journal of Molecular Sciences. 20(1). 16–16. 63 indexed citations
8.
Lee, Albert, Dana Pascovici, Vita Birzniece, et al.. (2017). Plasma biomarker proteins for detection of human growth hormone administration in athletes. Scientific Reports. 7(1). 10039–10039. 30 indexed citations
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Emery, Samantha J., Mehdi Mirzaei, Daniel Vuong, et al.. (2016). Induction of virulence factors in Giardia duodenalis independent of host attachment. Scientific Reports. 6(1). 20765–20765. 47 indexed citations
11.
Wu, Jemma, Xiaomin Song, Dana Pascovici, et al.. (2016). SWATH Mass Spectrometry Performance Using Extended Peptide MS/MS Assay Libraries. Molecular & Cellular Proteomics. 15(7). 2501–2514. 84 indexed citations
12.
Mirzaei, Mehdi, Dana Pascovici, Jemma Wu, et al.. (2016). TMT One-Stop Shop: From Reliable Sample Preparation to Computational Analysis Platform. Methods in molecular biology. 1549. 45–66. 29 indexed citations
13.
Huang, Pauline, Swetlana Mactier, Giles Best, et al.. (2015). Protein profiles distinguish stable and progressive chronic lymphocytic leukemia. Leukemia & lymphoma. 57(5). 1033–1043. 7 indexed citations
14.
Huang, Pauline, Giles Best, Juhura G. Almazi, et al.. (2013). Cell surface phenotype profiles distinguish stable and progressive chronic lymphocytic leukemia. Leukemia & lymphoma. 55(9). 2085–2092. 25 indexed citations
15.
Kolarich, Daniel, et al.. (2012). Characterization of N- and O-linked glycosylation changes in milk of the tammar wallaby (Macropus eugenii) over lactation. Glycoconjugate Journal. 30(5). 523–536. 10 indexed citations
16.
Pascovici, Dana, et al.. (2011). Differential proteomic response of rice ( Oryza sativa ) leaves exposed to high‐ and low‐temperature stress. PROTEOMICS. 11(14). 2839–2850. 52 indexed citations
17.
Pascovici, Dana, Tim Keighley, Mehdi Mirzaei, Paul A. Haynes, & Brett Cooke. (2011). PloGO: Plotting gene ontology annotation and abundance in multi‐condition proteomics experiments. PROTEOMICS. 12(3). 406–410. 27 indexed citations
18.
Pascovici, Dana, et al.. (2010). Differential metabolic response of cultured rice (Oryza sativa) cells exposed to high‐ and low‐temperature stress. PROTEOMICS. 10(16). 3001–3019. 76 indexed citations
19.
Voelckel, Claudia, Mehdi Mirzaei, Michael Reichelt, et al.. (2010). Transcript and protein profiling identify candidate gene sets of potential adaptive significance in New Zealand Pachycladon. BMC Evolutionary Biology. 10(1). 151–151. 17 indexed citations
20.
Mirzaei, Mehdi, Dana Pascovici, Tim Keighley, et al.. (2010). Shotgun proteomic profiling of five species of New Zealand Pachycladon. PROTEOMICS. 11(1). 166–171. 14 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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