Saeed Eskafi

650 citations
11 papers · 553 · h-index 9

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • Atherosclerosis and Cardiovascular Diseases
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Atherosclerosis and Cardiovascular Diseases 2
    • Receptor Mechanisms and Signaling 2

Saeed Eskafi

11 papers receiving 546 citations

Peers

Saeed Eskafi
Comparison fields: 5 of 62
  • Immunology and Allergy 92
  • Immunology 244
  • Cardiology and Cardiovascular Medicine 169
  • Hematology 74
  • Neurology 45
Replace Chiao Guo with:
Chiao Guo United States
Marta Miguel Turu Spain
Daniel Engelbertsen Sweden
K Shimizu Japan
Gersina Rega‐Kaun Austria
A M Eiroa United States
Lavinia Forte Italy
Nina Tsakadze United States
Linda Lai United States
Rachel M. Perrin United Kingdom
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Citations per field
00.5×1.6×
Chiao Guo · 1×
Citations per year

Countries citing papers authored by Saeed Eskafi

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Eskafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2001172
2 2003129
3 200481
4 200462
5 200357
6 200413
7 200213
8 199210
9 19938
10
Evidence for the predominant role of intracellular PAF binding sites in the regulation of phospholipase A2 in human neutrophils.
19954
11 19954

About Saeed Eskafi

Saeed Eskafi is a scholar working on Immunology, Molecular Biology, Immunology and Allergy, Pharmacology and Epidemiology, having authored 11 papers that have together received 553 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Inflammatory mediators and NSAID effects (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Receptor Mechanisms and Signaling (2 papers), Chemokine receptors and signaling (2 papers) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Immunology and Allergy (92 citations), Immunology (244 citations), Cardiology and Cardiovascular Medicine (169 citations), Hematology (74 citations) and Neurology (45 citations). Saeed Eskafi has collaborated with scholars based in Germany and United States. Frequent co-authors include Christoph D. Garlichs, Alexander Schmeißer, Christian Stumpf, W. G. Daniel, Joseph A. Ludwig, Dorette Raaz, Atilla Yılmaz, Margarete Goppelt‐Struebe, Stefan John and Roland E. Schmieder. Their work appears in journals such as Biochemical and Biophysical Research Communications, European Journal of Heart Failure, Journal of Leukocyte Biology, FEBS Letters and Atherosclerosis.

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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