Pardis Azmoon

539 citations
18 papers · 389 indexed · h-index 11

Impact in

Papers in

    • Prion Diseases and Protein Misfolding 4
    • Signaling Pathways in Disease 3
    • Extracellular vesicles in disease 3
    • Galectins and Cancer Biology 2

Pardis Azmoon

18 papers receiving 388 citations

Peers

Pardis Azmoon
Comparison fields: 5 of 75
  • Neurology 52
  • Cancer Research 86
  • Immunology 107
  • Hematology 47
  • Cellular and Molecular Neuroscience 74
Replace Michael S. Lam with:
Michael S. Lam United States
Benjamin N. Ostendorf Germany
Chie Naruse Japan
Hea Nam Hong South Korea
Alexandra Makarova United States
Lu Zheng China
Melissa Geyer United States
Annalisa Morano Italy
M. Gorovoy United States
Xin Shi China
Pardis Azmoon relative to Michael S. Lam United States Michael S. Lam's profile →
Citations per field
00.5×1.5×2.1×
Michael S. Lam · 1×
Citations per year

Countries citing papers authored by Pardis Azmoon

Since Specialization
Citations

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

Fields of papers citing papers by Pardis Azmoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2016104
2 201749
3 202246
4 201727
5 202024
6 201923
7 201919
8 201818
9 201913
10 202012
11 202210
12 202110
13 201810
14 20218
15 20235
16 20225
17 20234
18 20242

About Pardis Azmoon

Pardis Azmoon is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Cancer Research and Hematology, having authored 18 papers that have together received 389 indexed citations. Recurring topics across this work include Nerve injury and regeneration (4 papers), Protease and Inhibitor Mechanisms (4 papers), Prion Diseases and Protein Misfolding (4 papers), Signaling Pathways in Disease (3 papers), Extracellular vesicles in disease (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Hereditary Neurological Disorders (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Neurology (52 citations), Cancer Research (86 citations), Immunology (107 citations), Hematology (47 citations) and Cellular and Molecular Neuroscience (74 citations). Pardis Azmoon has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Steven L. Gonias, Elisabetta Mantuano, Coralie Brifault, Andrew S. Gilder, Michael S. Lam, W. Marie Campana, Cristina Zalfa, Donald Pizzo, Lipsa Das and Christina J. Sigurdson. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Journal of Cellular Biochemistry, Journal of Leukocyte Biology and Journal of Neuroscience.

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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