Rezvan Ehsani

476 citations
11 papers · 296 · h-index 6

Impact in

    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering

Papers in

    • RNA modifications and cancer 4
    • Bioinformatics and Genomic Networks 4
    • Machine Learning in Bioinformatics 3
    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2
    • Single-cell and spatial transcriptomics 1
    • Computational Drug Discovery Methods 3

Rezvan Ehsani

11 papers receiving 294 citations

Peers

Rezvan Ehsani
Comparison fields: 5 of 90
  • Cancer Research 66
  • Molecular Biology 201
  • Health Information Management 5
  • Oncology 26
  • Immunology 19
Replace Shaolong Cao with:
Shaolong Cao United States
Lingxi Chen China
Yupeng Cun China
Zi-Chao Zhang China
Héctor Climente-González France
Hanshuang Li China
Jiayuan Zhong China
Masato Kimura United States
Nataliya Sharopova United States
Anne Sturcke United States
Rezvan Ehsani relative to Shaolong Cao United States Shaolong Cao's profile →
Citations per field
00.5×3.5×
Shaolong Cao · 1×
Citations per year

Countries citing papers authored by Rezvan Ehsani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rezvan Ehsani Line = papers co-authored together Rezvan Ehsani links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2015179
2 202054
3 201622
4 201615
5 201810
6 20157
7 20203
8 20233
9
Detection of the YMDD Motif Mutations Rate in Chronic Hepatitis B Patients Treated with Lamivudine
20121
10 20211
11 20191

About Rezvan Ehsani

Rezvan Ehsani is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Epidemiology and Artificial Intelligence, having authored 11 papers that have together received 296 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (3 papers), Cancer-related molecular mechanisms research (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (66 citations), Molecular Biology (201 citations), Health Information Management (5 citations), Oncology (26 citations) and Immunology (19 citations). Rezvan Ehsani has collaborated with scholars based in Norway, Iran and Netherlands. Frequent co-authors include Finn Drabløs, Yulia A. Medvedeva, Ilya E. Vorontsov, Grigory Khimulya, Takeya Kasukawa, Ivan V. Kulakovskiy, Andreas Lennartsson, Shahram Bahrami, Lars A. Akslen and Dimitrios Kleftogiannis. Their work appears in journals such as BMC Bioinformatics, Database, BMC Research Notes, Cancer Informatics and SHILAP Revista de lepidopterología.

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.

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