Veronica Mainini

622 citations
20 papers · 509 · h-index 14

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment

Papers in

    • Advanced Proteomics Techniques and Applications 6
    • Mass Spectrometry Techniques and Applications 6
    • Analytical Chemistry and Chromatography 4
    • Metabolomics and Mass Spectrometry Studies 4
    • Molecular Biology Techniques and Applications 2

Veronica Mainini

20 papers receiving 500 citations

Peers

Veronica Mainini
Comparison fields: 5 of 75
  • Spectroscopy 208
  • Hematology 81
  • Genetics 55
  • Molecular Biology 194
  • Cancer Research 35
Replace M. Kate Curtis with:
M. Kate Curtis United Kingdom
Darryl E. Palmer‐Toy United States
J Mayans Spain
Yehong Yang China
Stephen Archacki United States
Mazène Hochane France
J. Bakker Netherlands
Shigemi Hosogaya Japan
Carmen van der Zwaan Netherlands
Michael J. Dunn United States
Veronica Mainini relative to M. Kate Curtis United Kingdom M. Kate Curtis's profile →
Citations per field
00.5×2×4×6.1×
M. Kate Curtis · 1×
Citations per year

Countries citing papers authored by Veronica Mainini

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Mainini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Veronica Mainini, 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 Veronica Mainini Line = papers co-authored together Veronica Mainini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010130
2 201238
3 201237
4 200836
5 201031
6 201431
7 201327
8 201023
9 200923
10 201419
11 201318
12 200918
13 201315
14 201113
15 201213
16 201211
17 201210
18 20138
19 20117
20 20091

About Veronica Mainini

Veronica Mainini is a scholar working on Spectroscopy, Molecular Biology, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 509 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Analytical Chemistry and Chromatography (4 papers), Molecular Biology Techniques and Applications (2 papers), Muscle metabolism and nutrition (1 paper), Cancer Genomics and Diagnostics (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Spectroscopy (208 citations), Hematology (81 citations), Genetics (55 citations), Molecular Biology (194 citations) and Cancer Research (35 citations). Veronica Mainini has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Fulvio Magni, Clizia Chinello, Erica Gianazza, Grzegorz Bilo, Andrea Giuliano, Alberto Piperno, Miriam Revera, Gianfranco Parati, M. Galli Kienle and Carolina Lombardi. Their work appears in journals such as Molecular BioSystems, Journal of Proteomics, Histopathology, Blood and Cytopathology.

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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