Mohammad Pakzad

25 papers and 601 indexed citations i.

About

Mohammad Pakzad is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Mohammad Pakzad has authored 25 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Surgery and 5 papers in Biomedical Engineering. Recurrent topics in Mohammad Pakzad’s work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (7 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Mohammad Pakzad is often cited by papers focused on Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (7 papers) and Tissue Engineering and Regenerative Medicine (6 papers). Mohammad Pakzad collaborates with scholars based in Iran, Germany and Italy. Mohammad Pakzad's co-authors include Hossein Baharvand, Seyedeh‐Nafiseh Hassani, Mehdi Totonchi, Ali Seifinejad, Adeleh Taei, Ghasem Hosseini Salekdeh, Hamid Gourabi, Ali Fathi, Abdoreza Nazari and Faezeh Shekari and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Human Reproduction.

In The Last Decade

Co-authorship network of co-authors of Mohammad Pakzad i

Fields of papers citing papers by Mohammad Pakzad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Mohammad Pakzad

Since Specialization
Citations

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).

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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2025