Masoud Nasri
Impact in
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- Acute Myeloid Leukemia Research
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- Immunodeficiency and Autoimmune Disorders
Papers in
- Genetics 10
- Blood disorders and treatments 8
- Virus-based gene therapy research 2
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- Acute Myeloid Leukemia Research 4
- Co-authors
- Mehdi Allahbakhshian Farsani (2 shared papers)Ali Karimi (1 shared paper)Julia Skokowa (13 shared papers)Benjamin Dannenmann (11 shared papers)Karl Welte (12 shared papers)Yun Xu (4 shared papers)Meinrad Gawaz (2 shared papers)Dominik Rath (1 shared paper)
- Journals
- Blood (3 papers)Molecular Therapy (2 papers)Cell stem cell (2 papers)Haematologica (2 papers)Stem Cell Research & Therapy (1 paper)
- Partner nations
- GermanyUnited StatesIran
In The Last Decade
Masoud Nasri
17 papers receiving 272 citations
Peers
Comparison fields: 5 of 66
- Hematology 45
- Immunology 74
- Genetics 87
- Business and International Management 6
- Oncology 60
Countries citing papers authored by Masoud Nasri
This map shows the geographic impact of Masoud Nasri'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 Masoud Nasri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masoud Nasri more than expected).
Fields of papers citing papers by Masoud Nasri
This network shows the impact of papers produced by Masoud Nasri. 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 Masoud Nasri. The network helps show where Masoud Nasri may publish in the future.
Co-authors
The 25 scholars most cited alongside Masoud Nasri, 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 | 2014 | 60 | |
| 2 | 2019 | 46 | |
| 3 | 2020 | 39 | |
| 4 | 2019 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2019 | 19 | |
| 7 | 2021 | 14 | |
| 8 | 2024 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2024 | 3 | |
| 13 | The assessment of lentiviral vectors application for gene transformation in human dermal fibroblasts (HDFs) | 2014 | 1 |
| 14 | 2023 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Masoud Nasri
Masoud Nasri is a scholar working on Genetics, Hematology, Oncology, Geriatrics and Gerontology and Immunology, having authored 19 papers that have together received 277 indexed citations. Recurring topics across this work include Blood disorders and treatments (8 papers), CRISPR and Genetic Engineering (5 papers), Neutropenia and Cancer Infections (5 papers), Acute Myeloid Leukemia Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Virus-based gene therapy research (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Hematology (45 citations), Immunology (74 citations), Genetics (87 citations), Business and International Management (6 citations) and Oncology (60 citations). Masoud Nasri has collaborated with scholars based in Germany, United States and Iran. Frequent co-authors include Mehdi Allahbakhshian Farsani, Ali Karimi, Julia Skokowa, Benjamin Dannenmann, Karl Welte, Yun Xu, Meinrad Gawaz, Dominik Rath, Anne‐Katrin Rohlfing and Tatsiana Castor. Their work appears in journals such as Blood, Molecular Therapy, Cell stem cell, Haematologica and Stem Cell Research & Therapy.
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.