Mohammad Pakzad
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Extracellular vesicles in disease
- Renal and related cancers
Papers in
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- Pluripotent Stem Cells Research 14
- CRISPR and Genetic Engineering 5
- Renal and related cancers 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Surgery 5
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Hossein Baharvand (23 shared papers)Seyedeh‐Nafiseh Hassani (9 shared papers)Mehdi Totonchi (4 shared papers)Ali Seifinejad (2 shared papers)Adeleh Taei (4 shared papers)Ghasem Hosseini Salekdeh (7 shared papers)Sepideh Mollamohammadi (3 shared papers)Faezeh Shekari (4 shared papers)
In The Last Decade
Mohammad Pakzad
25 papers receiving 663 citations
Peers
Comparison fields: 5 of 70
- Genetics 88
- Molecular Biology 457
- Rehabilitation 39
- Developmental Neuroscience 15
- Urology 18
Countries citing papers authored by Mohammad Pakzad
This map shows the geographic impact of Mohammad Pakzad'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 Pakzad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Pakzad more than expected).
Fields of papers citing papers by Mohammad Pakzad
This network shows the impact of papers produced by Mohammad Pakzad. 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 Pakzad. The network helps show where Mohammad Pakzad may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Pakzad, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 90 | |
| 2 | 2009 | 84 | |
| 3 | 2019 | 68 | |
| 4 | 2013 | 55 | |
| 5 | 2009 | 54 | |
| 6 | 2020 | 42 | |
| 7 | 2023 | 26 | |
| 8 | 2022 | 25 | |
| 9 | 2014 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2023 | 21 | |
| 12 | 2012 | 20 | |
| 13 | 2014 | 18 | |
| 14 | Cloning, expression and functional characterization of in-house prepared human basic fibroblast growth factor. | 2013 | 17 |
| 15 | 2013 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2013 | 11 | |
| 19 | 2013 | 10 | |
| 20 | 2021 | 9 |
About Mohammad Pakzad
Mohammad Pakzad is a scholar working on Molecular Biology, Surgery, Genetics, Biomedical Engineering and Rehabilitation, having authored 25 papers that have together received 675 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), 3D Printing in Biomedical Research (5 papers), Mesenchymal stem cell research (5 papers), CRISPR and Genetic Engineering (5 papers), Tissue Engineering and Regenerative Medicine (3 papers), Renal and related cancers (2 papers), CAR-T cell therapy research (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Genetics (88 citations), Molecular Biology (457 citations), Rehabilitation (39 citations), Developmental Neuroscience (15 citations) and Urology (18 citations). Mohammad Pakzad has collaborated with scholars based in Iran, Germany and Australia. Frequent co-authors include Hossein Baharvand, Seyedeh‐Nafiseh Hassani, Mehdi Totonchi, Ali Seifinejad, Adeleh Taei, Ghasem Hosseini Salekdeh, Sepideh Mollamohammadi, Faezeh Shekari, Abdoreza Nazari and Hamid Gourabi. Their work appears in journals such as Human Reproduction, Stem Cell Research & Therapy, Molecular BioSystems, Histochemistry and Cell Biology and Life Sciences.
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.