Daniela Cecconi

3.9k citations
111 papers · 3.1k indexed · h-index 33
    • Advanced Proteomics Techniques and Applications 25
    • Mass Spectrometry Techniques and Applications 8
    • Ubiquitin and proteasome pathways 7
    • Histone Deacetylase Inhibitors Research 6
    • Gene expression and cancer classification 6
    • Cancer, Hypoxia, and Metabolism 6
  • Oncology top 10%
    • Peptidase Inhibition and Analysis 10
    • Pancreatic and Hepatic Oncology Research 8

Daniela Cecconi

110 papers receiving 3.1k citations

Peers

Daniela Cecconi
Comparison fields: 5 of 149
  • Spectroscopy 646
  • Molecular Biology 1.6k
  • Cancer Research 342
  • Oncology 410
  • Nutrition and Dietetics 230
Replace Yoshihiro Izumi with:
Yoshihiro Izumi Japan
Frode S. Berven Norway
Terrence E. Riehl United States
Zee‐Yong Park South Korea
Aldrin V. Gomes United States
Jin Young Kim South Korea
Naoya Hatano Japan
Wells W. Wu United States
Jørgen Olsen Denmark
Daniela Cecconi relative to Yoshihiro Izumi Japan Yoshihiro Izumi's profile →
Citations per field
00.5×1.5×1.9×
Yoshihiro Izumi · 1×
Citations per year

Countries citing papers authored by Daniela Cecconi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cecconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20232
4 20223
5 202016
6 201981
7 201827
8 20144
9 201315
10 20124
11 201240
12 200917
13 200628
14 20063
15 200583
16 200574
17 200560
18 200469
19 200346
20 200241

About Daniela Cecconi

Daniela Cecconi is a scholar working on Spectroscopy, Cancer Research and Molecular Biology, having authored 111 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (25 papers), Peptidase Inhibition and Analysis (10 papers), Pancreatic and Hepatic Oncology Research (8 papers), Mass Spectrometry Techniques and Applications (8 papers), Ubiquitin and proteasome pathways (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Gene expression and cancer classification (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Spectroscopy (646 citations), Molecular Biology (1.6k citations) and Cancer Research (342 citations). Daniela Cecconi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Pier Giorgio Righetti, Jessica Brandi, Marta Palmieri, Elisa Robotti, Massimo Donadelli, Emílio Marengo, Emilio Marengo, Marcello Manfredi, Lello Zolla and Annalisa Castagna. Their work appears in journals such as Electrophoresis, Journal of Proteome Research, Journal of Proteomics, PROTEOMICS and Scientific Reports.

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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