M. Alavi

737 citations
32 papers · 637 indexed · h-index 15

M. Alavi

32 papers receiving 617 citations

Peers

M. Alavi
Comparison fields: 5 of 76
  • Cell Biology 185
  • Immunology and Allergy 65
  • Cancer Research 151
  • Biochemistry 39
  • Immunology 118
Replace R W Brocia with:
R W Brocia United States
Boris B. Boyanovsky United States
Yuko Nagayasu Japan
E.Ch. Sleyster Netherlands
Chakravarthi Sharma United States
Theo JC Van Berkel Netherlands
Masayoshi Horimoto Japan
Vicenta Llorente‐Cortés Spain
C. A. Suenram United States
Parvathy Sasikumar United Kingdom
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Citations per field
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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-authorship network

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
#Work
1 200669
2 200525
3 19984
4 19979
5 19972
6 199612
7 199510
8 199431
9 19946
10
The proliferation of neointimal smooth muscle cells cultured from rabbit aortic explants 15 weeks after de-endothelialization by a balloon catheter.
199411
11 19935
12 199389
13
Co-localization of aortic apolipoprotein B and chondroitin sulfate in an injury model of atherosclerosis.
199327
14
Distribution of endogenous apoprotein B-containing lipoproteins in normal and injured aortas of normocholesterolemic rabbits.
199213
15 19926
16 19923
17 19928
18 198528
19 198510
20 198214

About M. Alavi

M. Alavi is a scholar working on Cell Biology, Cancer Research, Immunology and Allergy, Hematology and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 637 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), Metabolomics and Mass Spectrometry Studies (3 papers), Nitric Oxide and Endothelin Effects (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Cell Biology (185 citations), Immunology and Allergy (65 citations), Cancer Research (151 citations), Biochemistry (39 citations) and Immunology (118 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, Zhihe Li, G. Preclik, H. Ditschuneit, A. Schneider, 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, Pathobiology and Analytical Biochemistry.

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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