John Giannaras

612 citations
9 papers · 517 · h-index 7

Impact in

    • Inflammatory mediators and NSAID effects
    • Pharmacogenetics and Drug Metabolism
  • Biochemistry top 10%
    • Eicosanoids and Hypertension Pharmacology

Papers in

John Giannaras

9 papers receiving 480 citations

Peers

John Giannaras
Comparison fields: 5 of 73
  • Pharmacology 264
  • Biochemistry 70
  • Pharmacology 64
  • Organic Chemistry 142
  • Genetics 119
Replace W Galbraith with:
W Galbraith United States
Sherrill Nurnberg United States
Yulia Maxuitenko United States
Diana Kazanov Israel
Shengrong Li China
J L Currie United States
Tsung-Ying Shen United States
João F. S. Carvalho Portugal
Peter P.K. Ho United States
James R. Gillig United States
John Giannaras relative to W Galbraith United States W Galbraith's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Giannaras

Since Specialization
Citations

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

Fields of papers citing papers by John Giannaras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1994338
2 199590
3 198932
4 199716
5 198914
6 199612
7 199510
8 19903
9 19962

About John Giannaras

John Giannaras is a scholar working on Molecular Biology, Pharmacology, Oncology, Rheumatology and Cell Biology, having authored 9 papers that have together received 517 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Estrogen and related hormone effects (2 papers), Steroid Chemistry and Biochemistry (1 paper), Calpain Protease Function and Regulation (1 paper), Computational Drug Discovery Methods (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Pharmacology (264 citations), Biochemistry (70 citations), Pharmacology (64 citations), Organic Chemistry (142 citations) and Genetics (119 citations). John Giannaras has collaborated with scholars based in United States. Frequent co-authors include Robert A. Copeland, Jean Williams, Donald Pinto, Stephanie Pick, Sherrill Nurnberg, J M Trzaskos, M Covington, Carl P. Decicco, Janet S. Kerr and Neil R. Ackerman. Their work appears in journals such as Inflammation Research, Bioorganic & Medicinal Chemistry, Protein Expression and Purification, Proceedings of the National Academy of Sciences and Bioorganic & Medicinal Chemistry Letters.

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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