Mohammad Soudyab
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
- RNA regulation and disease
Papers in
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- Circular RNAs in diseases 3
- RNA Research and Splicing 3
- RNA modifications and cancer 2
- Extracellular vesicles in disease 2
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 2
- Co-authors
- Soudeh Ghafouri‐Fard (8 shared papers)Mostafa Iranpour (5 shared papers)Lobat Geranpayeh (4 shared papers)Reza Mirfakhraie (4 shared papers)Eznollah Azargashb (2 shared papers)Abolfazl Movafagh (1 shared paper)Arezou Sayad (4 shared papers)Mohammad Taheri (3 shared papers)
- Journals
- Journal of Molecular Neuroscience (2 papers)Tumor Biology (1 paper)Cell Biochemistry and Function (1 paper)Human Antibodies (1 paper)Heliyon (1 paper)
- Partner nations
- IranGermanyUnited States
In The Last Decade
Mohammad Soudyab
14 papers receiving 439 citations
Peers
Comparison fields: 5 of 35
- Cancer Research 355
- Molecular Biology 314
- Oncology 28
- Endocrinology 4
- Epidemiology 23
Countries citing papers authored by Mohammad Soudyab
This map shows the geographic impact of Mohammad Soudyab'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 Soudyab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Soudyab more than expected).
Fields of papers citing papers by Mohammad Soudyab
This network shows the impact of papers produced by Mohammad Soudyab. 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 Soudyab. The network helps show where Mohammad Soudyab may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Soudyab, 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 Role of Long Non-Coding RNAs in Breast Cancer. | 2016 | 134 |
| 2 | 2015 | 107 | |
| 3 | 2017 | 62 | |
| 4 | 2016 | 33 | |
| 5 | 2017 | 25 | |
| 6 | 2017 | 24 | |
| 7 | 2017 | 21 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 0 |
About Mohammad Soudyab
Mohammad Soudyab is a scholar working on Molecular Biology, Cancer Research, Neurology, Epidemiology and Genetics, having authored 15 papers that have together received 451 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (3 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), RNA modifications and cancer (2 papers), Extracellular vesicles in disease (2 papers) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Cancer Research (355 citations), Molecular Biology (314 citations), Oncology (28 citations), Endocrinology (4 citations) and Epidemiology (23 citations). Mohammad Soudyab has collaborated with scholars based in Iran, Germany and United States. Frequent co-authors include Soudeh Ghafouri‐Fard, Mostafa Iranpour, Lobat Geranpayeh, Reza Mirfakhraie, Eznollah Azargashb, Abolfazl Movafagh, Arezou Sayad, Mohammad Taheri, Shaghayegh Sarrafzadeh and Mohammad Mahdi Eftekharian. Their work appears in journals such as Journal of Molecular Neuroscience, Tumor Biology, Cell Biochemistry and Function, Human Antibodies and Heliyon.
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.