Dana Pascovici

2.4k citations
57 papers · 1.6k indexed · h-index 26
    • Advanced Proteomics Techniques and Applications 22
    • Mass Spectrometry Techniques and Applications 9
    • Plant Stress Responses and Tolerance 7
    • Plant responses to water stress 5
    • Metabolomics and Mass Spectrometry Studies 13
    • Photosynthetic Processes and Mechanisms 6
    • Bioinformatics and Genomic Networks 5
    • Gene expression and cancer classification 4
  • Parasitology top 10%

Dana Pascovici

56 papers receiving 1.6k citations

Peers

Dana Pascovici
Comparison fields: 5 of 129
  • Spectroscopy 303
  • Plant Science 538
  • Molecular Biology 906
  • Biological Psychiatry 32
  • Parasitology 51
Replace Chunyuan Yang with:
Chunyuan Yang China
Amber L. Mosley United States
Tom Berkelman United States
Andrew R. Bottrill United Kingdom
Alamgir Khan Australia
Michelle Salemi United States
Tobias Maier Spain
Toshitaka Sato Japan
Sylvie Luche France
Dana Pascovici relative to Chunyuan Yang China Chunyuan Yang's profile →
Citations per field
00.5×10×20×30×40×49.5×
Chunyuan Yang · 1×
Citations per year

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

The 25 scholars most cited alongside Dana Pascovici, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dana Pascovici Line = papers co-authored together Dana Pascovici links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 202113
3 202110
4 20212
5 201927
6 201946
7 201863
8 201730
9 201717
10 201647
11 201684
12 201629
13 20157
14 201325
15 201210
16 201152
17 201127
18 201076
19 201017
20 201014

About Dana Pascovici

Dana Pascovici is a scholar working on Spectroscopy, Molecular Biology and Plant Science, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (22 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Mass Spectrometry Techniques and Applications (9 papers), Plant Stress Responses and Tolerance (7 papers), Photosynthetic Processes and Mechanisms (6 papers), Plant responses to water stress (5 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Spectroscopy (303 citations), Plant Science (538 citations) and Molecular Biology (906 citations). Dana Pascovici has collaborated with scholars based in Australia, United States and Iran. Frequent 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. Their work appears in journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.

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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