Sara Razi
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
Papers in
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- Epigenetics and DNA Methylation 2
- PI3K/AKT/mTOR signaling in cancer 2
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- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Davood Bashash (2 shared papers)Mohammad‐Javad Sanaei (1 shared paper)Atieh Pourbagheri‐Sigaroodi (1 shared paper)Mohsen Nabi‐Afjadi (2 shared papers)Hakimeh Zali (2 shared papers)Hamidreza Zalpoor (2 shared papers)Sina Naserian (1 shared paper)Sara Shamdani (1 shared paper)
- Journals
- Scientific Reports (2 papers)Information Sciences (1 paper)Translational Oncology (1 paper)Biomedicine & Pharmacotherapy (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- IranSouth AfricaFrance
In The Last Decade
Sara Razi
8 papers receiving 309 citations
Sara Razi's Hit Papers
Peers
Comparison fields: 5 of 88
- Cancer Research 76
- Molecular Biology 153
- Computational Theory and Mathematics 35
- Infectious Diseases 34
- Cognitive Neuroscience 35
Countries citing papers authored by Sara Razi
This map shows the geographic impact of Sara Razi'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 Sara Razi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Razi more than expected).
Fields of papers citing papers by Sara Razi
This network shows the impact of papers produced by Sara Razi. 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 Sara Razi. The network helps show where Sara Razi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara Razi, 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 | The PI3K/Akt/mTOR pathway in lung cancer; oncogenic alterations, therapeutic opportunities, challenges, and a glance at the application of nanoparticles Hit paper breakdown → | 2022 | 133 |
| 2 | 2019 | 53 | |
| 3 | 2021 | 48 | |
| 4 | 2023 | 28 | |
| 5 | 2023 | 24 | |
| 6 | 2022 | 19 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2022 | 0 | |
| 10 | 2025 | 0 |
About Sara Razi
Sara Razi is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Epidemiology and Infectious Diseases, having authored 10 papers that have together received 313 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related molecular mechanisms research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Coronary Interventions and Diagnostics (1 paper), Computational Drug Discovery Methods (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Cancer Research (76 citations), Molecular Biology (153 citations), Computational Theory and Mathematics (35 citations), Infectious Diseases (34 citations) and Cognitive Neuroscience (35 citations). Sara Razi has collaborated with scholars based in Iran, South Africa and France. Frequent co-authors include Davood Bashash, Mohammad‐Javad Sanaei, Atieh Pourbagheri‐Sigaroodi, Mohsen Nabi‐Afjadi, Hakimeh Zali, Hamidreza Zalpoor, Sina Naserian, Sara Shamdani, Georges Uzan and Vahid Niazi. Their work appears in journals such as Scientific Reports, Information Sciences, Translational Oncology, Biomedicine & Pharmacotherapy and Frontiers in Immunology.
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.