Silvia Smaldone

1.4k citations
25 papers · 1.0k indexed · h-index 18
Topics
Connective tissue disorders research (16 papers)TGF-β signaling in diseases (7 papers)Aortic Disease and Treatment Approaches (4 papers)
Partner nations
United StatesItalyFrance

In The Last Decade

Silvia Smaldone

25 papers receiving 1.0k citations

Peers

Silvia Smaldone
Comparison fields: 5 of 82
  • Genetics 565
  • Molecular Biology 504
  • Pulmonary and Respiratory Medicine 256
  • Cancer Research 161
  • Oncology 106
Replace Dražen Šošić with:
Dražen Šošić United States
Lut Van Laer Belgium
Jeroen Knijnenburg Netherlands
Nathalie Dagoneau France
Abdulrahman Alswaid Saudi Arabia
Marjolijn Renard Belgium
Kyu Sang Joeng United States
Víctor Martínez‐Glez Spain
Stephen H. Settle United States
Hervé Kempf France
Silvia Smaldone relative to Dražen Šošić United States Dražen Šošić's profile →
Citations per field
00.5×1.7×
Dražen Šošić · 1×
Citations per year

Countries citing papers authored by Silvia Smaldone

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Smaldone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Smaldone

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Smaldone. A scholar is included among the top collaborators of Silvia Smaldone 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 Silvia Smaldone. Silvia Smaldone 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 47
2 42
3 11
4 31
5 171
6 3
7 18
8 10
9 19
10 42
11 52
12 45
13 25
14 1
15 81
16 31
17 10
18 41
19 30
20 6

About Silvia Smaldone

Silvia Smaldone is a scholar working on Genetics, Molecular Biology and Developmental Neuroscience, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Connective tissue disorders research (16 papers), TGF-β signaling in diseases (7 papers) and Aortic Disease and Treatment Approaches (4 papers). The work is most often cited by research in Genetics (565 citations), Cancer Research (161 citations) and Developmental Biology (18 citations). Silvia Smaldone has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Francesco Ramirez, Luca Carta, Harikiran Nistala, Sui Lee‐Arteaga, Jason Cook, Friedrich Laub, Bruce M. Wentworth, Seng H. Cheng, Nicholas P. Clayton and C. Dragomir. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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