Allegra Via

1.6k total citations
29 papers, 1.1k citations indexed

About

Allegra Via is a scholar working on Molecular Biology, Materials Chemistry and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Allegra Via has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Materials Chemistry and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Allegra Via's work include Protein Structure and Dynamics (11 papers), Enzyme Structure and Function (7 papers) and RNA and protein synthesis mechanisms (5 papers). Allegra Via is often cited by papers focused on Protein Structure and Dynamics (11 papers), Enzyme Structure and Function (7 papers) and RNA and protein synthesis mechanisms (5 papers). Allegra Via collaborates with scholars based in Italy, United Kingdom and Germany. Allegra Via's co-authors include Manuela Helmer‐Citterich, Anna Tramontano, Christine Gemünd, Toby J. Gibson, Francesca Diella, Rune Linding, Bernhard Küster, Scott Cameron, Nikolaj Blom and Thomas Sicheritz‐Pontén and has published in prestigious journals such as Bioinformatics, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Allegra Via

28 papers receiving 1.1k citations

Peers

Allegra Via
Comparison fields: 5 of 103
  • Molecular Biology 765
  • Spectroscopy 126
  • Materials Chemistry 125
  • Public Health, Environmental and Occupational Health 104
  • Genetics 90
Replace Domenico Raimondo with:
Domenico Raimondo Italy
Romain A. Studer United Kingdom
Benoît Charloteaux Belgium
Stephen M. J. Searle United Kingdom
Zoltán Gáspári Hungary
Jean-François Taly Spain
Håkan Viklund Sweden
Lucía B. Chemes Argentina
Luciano Brocchieri United States
Charlotte Tumescheit United Kingdom
Domenico Raimondo Italy View profile →
Citations per field, relative to Allegra Via
Allegra Via · 1×
Citations per year, relative to Allegra Via
Allegra Via · 1×

Countries citing papers authored by Allegra Via

Since Specialization
Citations

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

Fields of papers citing papers by Allegra Via

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allegra Via

This figure shows the co-authorship network connecting the top 25 collaborators of Allegra Via. A scholar is included among the top collaborators of Allegra Via 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 Allegra Via. Allegra Via 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
# Work Indexed citations
1 0
2 1
3 9
4 4
5 18
6 12
7 65
8 26
9 32
10 65
11 18
12 33
13 30
14 18
15 7
16 40
17 307
18 7
19 1
20 71

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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