Salvador Guardiola

677 citations
19 papers · 519 indexed · h-index 10
Topics
Monoclonal and Polyclonal Antibodies Research (10 papers)Chemical Synthesis and Analysis (7 papers)Glycosylation and Glycoproteins Research (5 papers)

In The Last Decade

Salvador Guardiola

18 papers receiving 514 citations

Peers

Salvador Guardiola
Comparison fields: 5 of 81
  • Molecular Biology 256
  • Neurology 115
  • Physiology 99
  • Oncology 94
  • Radiology, Nuclear Medicine and Imaging 77
Replace Greet De Baets with:
Greet De Baets Belgium
Nadimpalli R. S. Varma United States
Emiel Michiels Belgium
Jordi Pujols Spain
Xiaodan Ni United States
Wenfang Xu China
Alberto Azzalin Italy
Jay R. Silveira United States
Tyrone Dowdy United States
Kamela O. Alegre United Kingdom
Salvador Guardiola relative to Greet De Baets Belgium Greet De Baets's profile →
Citations per field
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Greet De Baets · 1×
Citations per year

Countries citing papers authored by Salvador Guardiola

Since Specialization
Citations

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

Fields of papers citing papers by Salvador Guardiola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvador Guardiola

This figure shows the co-authorship network connecting the top 25 collaborators of Salvador Guardiola. A scholar is included among the top collaborators of Salvador Guardiola 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 Salvador Guardiola. Salvador Guardiola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 3
3 7
4 6
5 4
6 19
7 6
8 6
9 81
10 18
11 3
12 22
13 38
14 175
15 3
16 19
17 63
18 24
19 22

About Salvador Guardiola

Salvador Guardiola is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Medicine and Microbiology, having authored 19 papers that have together received 519 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Chemical Synthesis and Analysis (7 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Molecular Medicine (44 citations), Aging (14 citations) and Neurology (115 citations). Salvador Guardiola has collaborated with scholars based in Spain, United Kingdom and Belgium. Frequent co-authors include Ernest Giralt, Mónica Varese, Jesús García, Macarena Sánchez‐Navarro, Meritxell Teixidò, Laura Nevola, Mariona Sodupe, Susanna Navarro, Danilo González and Javier Sancho. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Chemical Communications.

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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