Xavier Salvatella

7.4k citations
90 papers · 4.8k indexed · 1 hit paper · h-index 40
Topics
Protein Structure and Dynamics (42 papers)Enzyme Structure and Function (18 papers)Alzheimer's disease research and treatments (14 papers)

In The Last Decade

Xavier Salvatella

89 papers receiving 4.7k citations

Hit Papers

Human serum albumin, systemic inflammation, and cirrhosis20142026201820222014100200300400

Peers

Xavier Salvatella
Comparison fields: 5 of 144
  • Molecular Biology 3.5k
  • Materials Chemistry 1.1k
  • Spectroscopy 1.0k
  • Physiology 547
  • Cell Biology 302
Replace Neil A. Farrow with:
Neil A. Farrow United States
Óscar Millet Spain
Gennaro Esposito Italy
Richard H. Griffey United States
Jerry D. Glickson United States
Elizabeth A. Komives United States
Andrea Cavalli Switzerland
Frans A. A. Mulder Denmark
Martial Piotto France
Jonathan P. Waltho United Kingdom
Xavier Salvatella relative to Neil A. Farrow United States Neil A. Farrow's profile →
Citations per field
00.5×4.6×
Neil A. Farrow · 1×
Citations per year

Countries citing papers authored by Xavier Salvatella

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Salvatella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xavier Salvatella

This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Salvatella. A scholar is included among the top collaborators of Xavier Salvatella 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 Xavier Salvatella. Xavier Salvatella 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 16
2 7
3 13
4 23
5 7
6 9
7 78
8 30
9 12
10 3
11 22
12 5
13 54
14 18
15
Human serum albumin, systemic inflammation, and cirrhosisbreakdown →
403
16 87
17 87
18 41
19 419
20 56

About Xavier Salvatella

Xavier Salvatella is a scholar working on Spectroscopy, Molecular Biology and Aging, having authored 90 papers that have together received 4.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (42 papers), Enzyme Structure and Function (18 papers) and Alzheimer's disease research and treatments (14 papers). The work is most often cited by research in Spectroscopy (1.0k citations), Molecular Biology (3.5k citations) and Biophysics (157 citations). Xavier Salvatella has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Michele Vendruscolo, Christopher M. Dobson, Andrea Cavalli, Rita García‐Martínez, Vicente Arroyo, R. Bryn Fenwick, Ernest Giralt, Santi Esteban-Martín, Dmitry M. Korzhnev and Ariel A. Di Nardo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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