Vijak Mahdavi
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- Cardiomyopathy and Myosin Studies 11
- Viral Infections and Immunology Research 4
- Molecular Biology top 0.5%
- Muscle Physiology and Disorders 15
- RNA Research and Splicing 12
- RNA and protein synthesis mechanisms 10
- Retinoids in leukemia and cellular processes 4
- Genetics top 1%
- Estrogen and related hormone effects 5
- Virus-based gene therapy research 4
- Immunology and Allergy top 2%
- Co-authors
- B Nadal-GinardBernardo Nadal‐GinardSeigo IzumoSidney StricklandAnne‐Marie LompréJay W. SchneiderWei GuRoger E. Breitbart
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Vijak Mahdavi
46 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Cardiology and Cardiovascular Medicine 2.5k
- Molecular Biology 6.6k
- Genetics 1.6k
- Endocrinology, Diabetes and Metabolism 762
- Immunology and Allergy 232
Countries citing papers authored by Vijak Mahdavi
This map shows the geographic impact of Vijak Mahdavi'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 Vijak Mahdavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijak Mahdavi more than expected).
Fields of papers citing papers by Vijak Mahdavi
This network shows the impact of papers produced by Vijak Mahdavi. 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 Vijak Mahdavi. The network helps show where Vijak Mahdavi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vijak Mahdavi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 84 | |
| 2 | 1995 | 116 | |
| 3 | 1995 | 70 | |
| 4 | 1995 | 98 | |
| 5 | Interaction of myogenic factors and the retinoblastoma protein mediates muscle cell commitment and differentiationbreakdown → | 1993 | 629 |
| 6 | 1993 | 6 | |
| 7 | 1991 | 200 | |
| 8 | 1990 | 44 | |
| 9 | 1989 | 249 | |
| 10 | 1988 | 380 | |
| 11 | 1987 | 382 | |
| 12 | 1987 | 38 | |
| 13 | All Members of the MHC Multigene Family Respond to Thyroid Hormone in a Highly Tissue-Specific Mannerbreakdown → | 1986 | 551 |
| 14 | 1985 | 32 | |
| 15 | 1984 | 41 | |
| 16 | Expression of the cardiac ventricular alpha- and beta-myosin heavy chain genes is developmentally and hormonally regulated.breakdown → | 1984 | 541 |
| 17 | 1979 | 61 | |
| 18 | 1979 | 20 | |
| 19 | 1978 | 10 | |
| 20 | 1972 | 11 |
About Vijak Mahdavi
Vijak Mahdavi is a scholar working on Cardiology and Cardiovascular Medicine, Aging and Molecular Biology, having authored 46 papers that have together received 8.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), RNA Research and Splicing (12 papers), Cardiomyopathy and Myosin Studies (11 papers), RNA and protein synthesis mechanisms (10 papers), Estrogen and related hormone effects (5 papers), Virus-based gene therapy research (4 papers), Viral Infections and Immunology Research (4 papers) and Retinoids in leukemia and cellular processes (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.5k citations), Molecular Biology (6.6k citations) and Genetics (1.6k citations). Vijak Mahdavi has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include B Nadal-Ginard, Bernardo Nadal‐Ginard, Seigo Izumo, Sidney Strickland, Anne‐Marie Lompré, Jay W. Schneider, Wei Gu, Roger E. Breitbart, Sunjay Kaushal and Gianluigi Condorelli. Their work appears in journals such as Nature, Science and Cell.
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.