Lucia Puricelli

1.1k citations
37 papers · 868 indexed · h-index 15
Topics
Advanced Proteomics Techniques and Applications (7 papers)Mass Spectrometry Techniques and Applications (6 papers)Metabolomics and Mass Spectrometry Studies (5 papers)
Partner nations
ItalySwedenUnited States

In The Last Decade

Lucia Puricelli

37 papers receiving 845 citations

Peers

Lucia Puricelli
Comparison fields: 5 of 106
  • Molecular Biology 345
  • Physiology 164
  • Endocrinology, Diabetes and Metabolism 104
  • Spectroscopy 101
  • Pulmonary and Respiratory Medicine 98
Replace Takahiro Kawasaki with:
Takahiro Kawasaki Japan
Rosa Mangerini Italy
Rakesh Kundu India
Jiaxin Zhang China
Youn Wook Chung South Korea
James D. Shoemaker United States
Hongbo Weng China
Alexis J. Cowan United States
Shanshan Tian China
Jihong Yang China
Lucia Puricelli relative to Takahiro Kawasaki Japan Takahiro Kawasaki's profile →
Citations per field
00.5×1.5×2.0×
Takahiro Kawasaki · 1×
Citations per year

Countries citing papers authored by Lucia Puricelli

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Puricelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Puricelli

This figure shows the co-authorship network connecting the top 25 collaborators of Lucia Puricelli. A scholar is included among the top collaborators of Lucia Puricelli 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 Lucia Puricelli. Lucia Puricelli 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 5
2 6
3 88
4 12
5 54
6 125
7 6
8 5
9 148
10 3
11 12
12 36
13 3
14 2
15 5
16 5
17 19
18 15
19 4
20 13

About Lucia Puricelli

Lucia Puricelli is a scholar working on Clinical Biochemistry, Nephrology and Aging, having authored 37 papers that have together received 868 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Clinical Biochemistry (52 citations), Nephrology (52 citations) and Endocrine and Autonomic Systems (45 citations). Lucia Puricelli has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Paolo Tessari, Renato Millioni, Giorgio Arrigoni, Elisabetta Iori, Monica Vedovato, Monica Vettore, Alessandra Cosma, Stefano Sbrignadello, Anna Coracina and Serena Tolin. Their work appears in journals such as Gastroenterology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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