John Guardiola

3.5k citations
116 papers · 3.0k indexed · h-index 31

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Virology top 5%

Papers in

    • T-cell and B-cell Immunology 37
    • Immune Cell Function and Interaction 36
    • Immunotherapy and Immune Responses 30
    • HIV Research and Treatment 12

John Guardiola

108 papers receiving 2.8k citations

Peers

John Guardiola
Comparison fields: 5 of 115
  • Immunology 1.3k
  • Virology 136
  • Biochemistry 165
  • Molecular Biology 1.0k
  • Radiology, Nuclear Medicine and Imaging 312
Replace Uzi Gileadi with:
Uzi Gileadi United Kingdom
Kagemasa Kuribayashi Japan
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Citations per field
00.5×3.1×
Uzi Gileadi · 1×
Citations per year

Countries citing papers authored by John Guardiola

Since Specialization
Citations

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

Fields of papers citing papers by John Guardiola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Guardiola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Guardiola Line = papers co-authored together John Guardiola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992240
2 1992161
3 2014118
4 2005117
5 1979103
6
Control of MHC class II gene expression in autoimmune, infectious, and neoplastic diseases.
199385
7 200083
8 199077
9 197471
10 198569
11 199969
12 198565
13 200864
14 200359
15 197757
16 199055
17 197454
18 197353
19 199850
20 199550

About John Guardiola

John Guardiola is a scholar working on Immunology, Virology, Biochemistry, Radiology, Nuclear Medicine and Imaging and Gastroenterology, having authored 116 papers that have together received 3.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (37 papers), Immune Cell Function and Interaction (36 papers), Immunotherapy and Immune Responses (30 papers), Monoclonal and Polyclonal Antibodies Research (18 papers), HIV Research and Treatment (12 papers), Biochemical and Molecular Research (6 papers), Enzyme Structure and Function (6 papers) and Colorectal Cancer Screening and Detection (5 papers). The work is most often cited by research in Immunology (1.3k citations), Virology (136 citations), Biochemistry (165 citations), Molecular Biology (1.0k citations) and Radiology, Nuclear Medicine and Imaging (312 citations). John Guardiola has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Maurizio Iaccarino, Maurilio De Felice, Antonella Maffei, Roberto S. Accolla, Monica Autiero, Giovanna Del Pozzo, Giovanna Carrà, Piergiuseppe De Berardinis, Paolo Abrescia and Alessandro Lamberti. Their work appears in journals such as Human Immunology, Journal of Bacteriology, The Journal of Immunology, Nucleic Acids Research and The American Journal of Gastroenterology.

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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