Rezvan Ehsani
Impact in
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- Cancer-related molecular mechanisms research
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- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Chromatin Remodeling and Cancer
- Pluripotent Stem Cells Research
Papers in
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 1
- Genomics and Phylogenetic Studies 1
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Finn Drabløs (9 shared papers)Takeya Kasukawa (1 shared paper)Andreas Lennartsson (1 shared paper)Ilya E. Vorontsov (1 shared paper)Ivan V. Kulakovskiy (1 shared paper)Pouda Panahandeh (1 shared paper)Grigory Khimulya (1 shared paper)Yulia A. Medvedeva (1 shared paper)
- Journals
- BMC Bioinformatics (4 papers)Database (1 paper)BMC Research Notes (2 papers)Cancer Informatics (1 paper)Bioinformatics Advances (1 paper)
In The Last Decade
Rezvan Ehsani
11 papers receiving 335 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 38
- Molecular Biology 170
- Genetics 11
- Oncology 23
- Health Information Management 9
Countries citing papers authored by Rezvan Ehsani
This map shows the geographic impact of Rezvan Ehsani'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 Rezvan Ehsani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rezvan Ehsani more than expected).
Fields of papers citing papers by Rezvan Ehsani
This network shows the impact of papers produced by Rezvan Ehsani. 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 Rezvan Ehsani. The network helps show where Rezvan Ehsani may publish in the future.
Co-authors
The 11 scholars most cited alongside Rezvan Ehsani, 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 | 2015 | 211 | |
| 2 | 2020 | 61 | |
| 3 | 2016 | 23 | |
| 4 | 2016 | 14 | |
| 5 | 2018 | 10 | |
| 6 | 2015 | 8 | |
| 7 | 2023 | 5 | |
| 8 | 2020 | 3 | |
| 9 | Detection of the YMDD Motif Mutations Rate in Chronic Hepatitis B Patients Treated with Lamivudine | 2012 | 1 |
| 10 | 2019 | 1 | |
| 11 | 2021 | 1 |
About Rezvan Ehsani
Rezvan Ehsani is a scholar working on Molecular Biology, Cancer Research, Health Information Management, Epidemiology and Nuclear Energy and Engineering, having authored 11 papers that have together received 338 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related molecular mechanisms research (2 papers), Epigenetics and DNA Methylation (1 paper), Hepatitis B Virus Studies (1 paper), Genomics and Phylogenetic Studies (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Cancer Research (38 citations), Molecular Biology (170 citations), Genetics (11 citations), Oncology (23 citations) and Health Information Management (9 citations). Rezvan Ehsani has collaborated with scholars based in Norway, Iran and Sweden. Frequent co-authors include Finn Drabløs, Takeya Kasukawa, Andreas Lennartsson, Ilya E. Vorontsov, Ivan V. Kulakovskiy, Pouda Panahandeh, Grigory Khimulya, Yulia A. Medvedeva, Shahram Bahrami and Inge Jonassen. Their work appears in journals such as BMC Bioinformatics, Database, BMC Research Notes, Cancer Informatics and Bioinformatics Advances.
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.