G. Bioque

733 citations
24 papers · 577 · h-index 9

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
  • Rheumatology top 10%

Papers in

    • Eosinophilic Disorders and Syndromes 6
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2

G. Bioque

24 papers receiving 554 citations

Peers

G. Bioque
Comparison fields: 5 of 86
  • Immunology 263
  • Rheumatology 98
  • Genetics 134
  • Gastroenterology 22
  • Otorhinolaryngology 16
Replace Ian R. Witherden with:
Ian R. Witherden United Kingdom
Anna Monica Bianco Italy
Stefano Dastoli Italy
W.G.R.M. de Boer Australia
Setsuo Hasegawa Japan
Tricia Finney‐Hayward United States
C.R. Stiller Canada
R. Morera Italy
Qi Yu China
Hayato Nakamura Japan
G. Bioque relative to Ian R. Witherden United Kingdom Ian R. Witherden's profile →
Citations per field
00.5×
Ian R. Witherden · 1×
Citations per year

Countries citing papers authored by G. Bioque

Since Specialization
Citations

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

Fields of papers citing papers by G. Bioque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Bioque, 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 G. Bioque Line = papers co-authored together G. Bioque links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995179
2 1996127
3 199643
4 198937
5 200337
6 199735
7 200019
8 199015
9 199311
10 19938
11 19928
12 19947
13 19936
14 19926
15 19976
16 19925
17 19935
18 19944
19 19914
20 19954

About G. Bioque

G. Bioque is a scholar working on Rheumatology, Immunology, Genetics, Pharmacology and Spectroscopy, having authored 24 papers that have together received 577 indexed citations. Recurring topics across this work include Eosinophilic Disorders and Syndromes (6 papers), Analytical Chemistry and Chromatography (5 papers), Inflammatory mediators and NSAID effects (5 papers), Inflammatory Bowel Disease (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Alcohol Consumption and Health Effects (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Immunology (263 citations), Rheumatology (98 citations), Genetics (134 citations), Gastroenterology (22 citations) and Otorhinolaryngology (16 citations). G. Bioque has collaborated with scholars based in Spain, Netherlands and Argentina. Frequent co-authors include J. Bart A. Crusius, S. G. M. Meuwissen, Ioannis E. Κoutroubakis, A. S. Peña, P.J. Kostense, Ellen Gelpí, Joan Roselló‐Catafau, O. Bulbena, Bing Xia and B. Mary E. von Blomberg. Their work appears in journals such as Prostaglandins Leukotrienes and Essential Fatty Acids, Clinical & Experimental Immunology, Journal of Chromatography A, Gastroenterology and Inflammation Research.

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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