Tamara C. Petrucci

4.1k citations
84 papers · 3.4k indexed · h-index 34
Topics
Muscle Physiology and Disorders (26 papers)Adipose Tissue and Metabolism (16 papers)RNA regulation and disease (12 papers)
Partner nations
ItalyUnited StatesFrance

In The Last Decade

Tamara C. Petrucci

83 papers receiving 3.3k citations

Peers

Tamara C. Petrucci
Comparison fields: 5 of 102
  • Molecular Biology 2.5k
  • Cell Biology 822
  • Physiology 726
  • Cellular and Molecular Neuroscience 611
  • Immunology 380
Replace Seiichi Kawashima with:
Seiichi Kawashima Japan
Rejean L. Idzerda United States
Jacques Baudier France
Mary N. Teruel United States
Fernando A. González Spain
Johan Van Lint Belgium
Greg R. Phillips United States
Shuichi Tsuji Japan
Syu-ichi Hirai Japan
Edon Melloni Italy
Tamara C. Petrucci relative to Seiichi Kawashima Japan Seiichi Kawashima's profile →
Citations per field
00.5×1.6×
Seiichi Kawashima · 1×
Citations per year

Countries citing papers authored by Tamara C. Petrucci

Since Specialization
Citations

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

Fields of papers citing papers by Tamara C. Petrucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara C. Petrucci. 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 Tamara C. Petrucci. The network helps show where Tamara C. Petrucci may publish in the future.

Co-authorship network of co-authors of Tamara C. Petrucci

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara C. Petrucci. A scholar is included among the top collaborators of Tamara C. Petrucci 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 Tamara C. Petrucci. Tamara C. Petrucci 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 27
3 38
4 20
5 25
6 13
7 31
8 8
9 5
10 6
11 11
12 9
13 13
14 13
15 7
16 40
17 16
18 66
19 17
20 0

About Tamara C. Petrucci

Tamara C. Petrucci is a scholar working on Cell Biology, Physiology and Neurology, having authored 84 papers that have together received 3.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (26 papers), Adipose Tissue and Metabolism (16 papers) and RNA regulation and disease (12 papers). The work is most often cited by research in Cell Biology (822 citations), Neurology (307 citations) and Molecular Biology (2.5k citations). Tamara C. Petrucci has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Jon S. Morrow, Gianfranco Macchia, Vittorio Silano, Marina Ceccarini, Andrea Brancaccio, Paola Paggi, Pompeo Macioce, Anna Maria Michela Di Stasi, Vincenzo Buonocore and Francesca Di Tommaso. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

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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