Valentina Cecarini

5.5k citations
57 papers · 2.4k indexed · h-index 29
Topics
Ubiquitin and proteasome pathways (12 papers)Alzheimer's disease research and treatments (10 papers)Autophagy in Disease and Therapy (10 papers)
Partner nations
ItalyUnited StatesChina

In The Last Decade

Valentina Cecarini

57 papers receiving 2.4k citations

Peers

Valentina Cecarini
Comparison fields: 5 of 120
  • Molecular Biology 1.4k
  • Physiology 807
  • Biological Psychiatry 445
  • Oncology 202
  • Epidemiology 196
Replace Laura Bonfili with:
Laura Bonfili Italy
Anna Maria Eleuteri Italy
Yan‐Fang Xian Hong Kong
Zhi‐Xiu Lin Hong Kong
Weiwei Ma China
Marco Malaguti Italy
Cinzia Nasuti Italy
Hitoshi Shirakawa Japan
Ke Ma China
Tomasz Śliwiński Poland
Valentina Cecarini relative to Laura Bonfili Italy Laura Bonfili's profile →
Citations per field
00.5×1.5×
Laura Bonfili · 1×
Citations per year

Countries citing papers authored by Valentina Cecarini

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Cecarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Cecarini

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Cecarini. A scholar is included among the top collaborators of Valentina Cecarini 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 Valentina Cecarini. Valentina Cecarini 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
#WorkIndexed citations
1 4
2 1
3 8
4 18
5 51
6 20
7 207
8 30
9 36
10 34
11 18
12 61
13 17
14 19
15 7
16 8
17 46
18 38
19 28
20 47

About Valentina Cecarini

Valentina Cecarini is a scholar working on Biological Psychiatry, Applied Microbiology and Biotechnology and Cell Biology, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), Alzheimer's disease research and treatments (10 papers) and Autophagy in Disease and Therapy (10 papers). The work is most often cited by research in Biological Psychiatry (445 citations), Physiology (807 citations) and Aging (46 citations). Valentina Cecarini has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Anna Maria Eleuteri, Laura Bonfili, Mauro Angeletti, Massimiliano Cuccioloni, Jeffrey N. Keller, Giacomo Rossi, Sara Berardi, Silvia Scarpona, Matteo Mozzicafreddo and Qunxing Ding. Their work appears in journals such as Trends in Neurosciences, Scientific Reports and Brain Research.

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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