Mohammad Vasei
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
-
- Renal and related cancers 7
- Surgery 20
- Co-authors
- Mahmood Vessal (2 shared papers)Mina Hemmati (1 shared paper)Seyed Javad Mowla (15 shared papers)Guido Sauter (3 shared papers)Masoud Soleimani (11 shared papers)Lukas Bubendorf (1 shared paper)Luigi Terracciano (1 shared paper)Patrick A. Baeuerle (1 shared paper)
- Journals
- Stem Cells and Development (5 papers)Apmis (4 papers)Acta Cytologica (4 papers)Cytotherapy (3 papers)Scientific Reports (2 papers)
- Partner nations
- IranUnited StatesSwitzerland
In The Last Decade
Mohammad Vasei
125 papers receiving 3.2k citations
Mohammad Vasei's Hit Papers
Peers
Comparison fields: 5 of 150
- Cancer Research 501
- Genetics 249
- Biochemistry 148
- Endocrinology, Diabetes and Metabolism 318
- Biomaterials 193
Countries citing papers authored by Mohammad Vasei
This map shows the geographic impact of Mohammad Vasei'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 Mohammad Vasei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Vasei more than expected).
Fields of papers citing papers by Mohammad Vasei
This network shows the impact of papers produced by Mohammad Vasei. 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 Mohammad Vasei. The network helps show where Mohammad Vasei may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Vasei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Antidiabetic effects of quercetin in streptozocin-induced diabetic rats Hit paper breakdown → | 2003 | 502 |
| 2 | 2006 | 316 | |
| 3 | 2000 | 241 | |
| 4 | 2013 | 115 | |
| 5 | 2018 | 110 | |
| 6 | 2017 | 98 | |
| 7 | 2013 | 90 | |
| 8 | 2016 | 84 | |
| 9 | 2010 | 72 | |
| 10 | 2013 | 63 | |
| 11 | 2002 | 60 | |
| 12 | 2002 | 60 | |
| 13 | 2012 | 47 | |
| 14 | 2014 | 44 | |
| 15 | 2016 | 43 | |
| 16 | 2022 | 40 | |
| 17 | 2004 | 39 | |
| 18 | 2013 | 35 | |
| 19 | 2016 | 35 | |
| 20 | 2010 | 34 |
About Mohammad Vasei
Mohammad Vasei is a scholar working on Molecular Biology, Surgery, Oncology, Genetics and Cancer Research, having authored 129 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), MicroRNA in disease regulation (8 papers), Research on Leishmaniasis Studies (8 papers), Renal and related cancers (7 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Scheduling and Optimization Algorithms (4 papers) and Assembly Line Balancing Optimization (4 papers). The work is most often cited by research in Cancer Research (501 citations), Genetics (249 citations), Biochemistry (148 citations), Endocrinology, Diabetes and Metabolism (318 citations) and Biomaterials (193 citations). Mohammad Vasei has collaborated with scholars based in Iran, United States and Switzerland. Frequent co-authors include Mahmood Vessal, Mina Hemmati, Seyed Javad Mowla, Guido Sauter, Masoud Soleimani, Lukas Bubendorf, Luigi Terracciano, Patrick A. Baeuerle, Philip Went and Juha Kononen. Their work appears in journals such as Stem Cells and Development, Apmis, Acta Cytologica, Cytotherapy and Scientific Reports.
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.