Mohammad Ebrahimi
Impact in
- Pharmaceutical Science top 10%
- Advanced Drug Delivery Systems
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA Interference and Gene Delivery 2
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- Natural Language Processing Techniques 3
- Topic Modeling 3
- Co-authors
- Hossein Hosseinkhani (2 shared papers)Fatemeh Abedini (2 shared papers)Abraham J. Domb (1 shared paper)Ghanbar Mahmoodi Chalbatani (1 shared paper)Mohammad Rashno (1 shared paper)Habibollah Mahmoodzadeh (1 shared paper)Vahid Marmari (1 shared paper)Hassan Dana (1 shared paper)
In The Last Decade
Mohammad Ebrahimi
19 papers receiving 654 citations
Peers
Comparison fields: 5 of 112
- Pharmaceutical Science 49
- Cancer Research 108
- Molecular Medicine 36
- Biomaterials 86
- Molecular Biology 348
Countries citing papers authored by Mohammad Ebrahimi
This map shows the geographic impact of Mohammad Ebrahimi'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 Ebrahimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Ebrahimi more than expected).
Fields of papers citing papers by Mohammad Ebrahimi
This network shows the impact of papers produced by Mohammad Ebrahimi. 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 Ebrahimi. The network helps show where Mohammad Ebrahimi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Ebrahimi, 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 | 2017 | 340 | |
| 2 | 2018 | 140 | |
| 3 | 2015 | 33 | |
| 4 | 2016 | 29 | |
| 5 | 2021 | 27 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2015 | 9 | |
| 11 | An Efficient Approach for Multi-Sentence Compression | 2016 | 8 |
| 12 | 2015 | 6 | |
| 13 | Appraising UMLS Coverage for Summarizing Medical Evidence. | 2016 | 4 |
| 14 | 2016 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2015 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2017 | 1 |
About Mohammad Ebrahimi
Mohammad Ebrahimi is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Information Systems, having authored 25 papers that have together received 666 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Context-Aware Activity Recognition Systems (2 papers), RNA Interference and Gene Delivery (2 papers), Data Management and Algorithms (2 papers), Human Mobility and Location-Based Analysis (2 papers), Electrochemical sensors and biosensors (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Pharmaceutical Science (49 citations), Cancer Research (108 citations), Molecular Medicine (36 citations), Biomaterials (86 citations) and Molecular Biology (348 citations). Mohammad Ebrahimi has collaborated with scholars based in Iran, Australia and China. Frequent co-authors include Hossein Hosseinkhani, Fatemeh Abedini, Abraham J. Domb, Ghanbar Mahmoodi Chalbatani, Mohammad Rashno, Habibollah Mahmoodzadeh, Vahid Marmari, Hassan Dana, Elaheh ShafieiBavani and Raymond K. Wong. Their work appears in journals such as Biochemical and Biophysical Research Communications, Microchimica Acta, Theoretical Computer Science, Journal of the Association for Information Science and Technology and Polymers for Advanced Technologies.
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.