M. Alavi

651 citations
31 papers · 564 · h-index 15

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • Angiogenesis and VEGF in Cancer 3
    • Proteoglycans and glycosaminoglycans research 11

M. Alavi

30 papers receiving 546 citations

Peers

M. Alavi
Comparison fields: 5 of 72
  • Cell Biology 170
  • Immunology and Allergy 57
  • Cancer Research 133
  • Biochemistry 31
  • Surgery 178
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Citations per year

Countries citing papers authored by M. Alavi

Since Specialization
Citations

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

Fields of papers citing papers by M. Alavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199389
2 198145
3 198034
4 199431
5 198731
6 198429
7 198528
8
Co-localization of aortic apolipoprotein B and chondroitin sulfate in an injury model of atherosclerosis.
199327
9 198325
10 200525
11 198222
12
The in vitro interactions between serum lipoproteins and proteoglycans of the neointima of rabbit aorta after a single balloon catheter injury.
198917
13 198115
14 198214
15 198414
16
Distribution of endogenous apoprotein B-containing lipoproteins in normal and injured aortas of normocholesterolemic rabbits.
199213
17 199612
18 197711
19
The proliferation of neointimal smooth muscle cells cultured from rabbit aortic explants 15 weeks after de-endothelialization by a balloon catheter.
199411
20 199510

About M. Alavi

M. Alavi is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 31 papers that have together received 564 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (11 papers), Protease and Inhibitor Mechanisms (9 papers), Cholesterol and Lipid Metabolism (5 papers), Connective tissue disorders research (4 papers), Cell Adhesion Molecules Research (4 papers), Fatty Acid Research and Health (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cell Biology (170 citations), Immunology and Allergy (57 citations), Cancer Research (133 citations), Biochemistry (31 citations) and Surgery (178 citations). M. Alavi has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Sean Moore, Eduard F. Stange, Zorina S. Galis, G. Preclik, A. Schneider, H. Ditschuneit, Zhihe Li, Hans Ditschuneit, He Wang and J. Rainer Poley. Their work appears in journals such as Atherosclerosis, International Journal of Experimental Pathology, Experimental and Molecular Pathology, Journal of Histochemistry & Cytochemistry and Journal of Lipid 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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