Piero Ricchiuto

1.1k citations
23 papers · 677 indexed · h-index 12
Topics
Protein Structure and Dynamics (7 papers)Bioinformatics and Genomic Networks (5 papers)Enzyme Structure and Function (4 papers)

In The Last Decade

Piero Ricchiuto

21 papers receiving 671 citations

Peers

Piero Ricchiuto
Comparison fields: 5 of 109
  • Molecular Biology 401
  • Physiology 127
  • Oncology 118
  • Immunology 106
  • Materials Chemistry 68
Replace Nassima Oumata with:
Nassima Oumata France
Clemens Röhrl Austria
Sukalyan Chatterjee United States
Shuai Zong China
O. Yu. Ivanova Russia
Julien Beyrath Netherlands
Yonghua Liu China
Silvia Franchini Italy
Åke Sidén Sweden
Miguel Ararat United States
Piero Ricchiuto relative to Nassima Oumata France Nassima Oumata's profile →
Citations per field
00.5×3.4×
Nassima Oumata · 1×
Citations per year

Countries citing papers authored by Piero Ricchiuto

Since Specialization
Citations

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

Fields of papers citing papers by Piero Ricchiuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piero Ricchiuto

This figure shows the co-authorship network connecting the top 25 collaborators of Piero Ricchiuto. A scholar is included among the top collaborators of Piero Ricchiuto 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 Piero Ricchiuto. Piero Ricchiuto 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 0
2 1
3 11
4 0
5 2
6 20
7 72
8 2
9 70
10 207
11 1
12 6
13
Abstract 16180: K-877, A Novel PPAR-alpha Selective Agonist, Suppresses Macrophage Activation and Arterial Lesion Formation
5
14 77
15 12
16 7
17 24
18 16
19 82
20 31

About Piero Ricchiuto

Piero Ricchiuto is a scholar working on Molecular Biology, Nephrology and Neurology, having authored 23 papers that have together received 677 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Bioinformatics and Genomic Networks (5 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Physiology (29 citations), Molecular Biology (401 citations) and Developmental Neuroscience (22 citations). Piero Ricchiuto has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Stefan Auer, Dimo Kashchiev, Elisabetta Gianazza, Ivano Eberini, Hiroshi Iwata, Amitabh Sharma, Masanori Aikawa, Sasha A. Singh, Albert-Ĺaszló Barabási and Luca Mollica. Their work appears in journals such as Circulation, Nature Communications and The Journal of Chemical Physics.

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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