Rezvan Ehsani

476 total citations
11 papers, 296 citations indexed

About

Rezvan Ehsani is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Rezvan Ehsani has authored 11 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Cancer Research. Recurrent topics in Rezvan Ehsani's work include RNA modifications and cancer (4 papers), Bioinformatics and Genomic Networks (4 papers) and Machine Learning in Bioinformatics (3 papers). Rezvan Ehsani is often cited by papers focused on RNA modifications and cancer (4 papers), Bioinformatics and Genomic Networks (4 papers) and Machine Learning in Bioinformatics (3 papers). Rezvan Ehsani collaborates with scholars based in Norway, Iran and Netherlands. Rezvan Ehsani's co-authors include Finn Drabløs, Ivan V. Kulakovskiy, Andreas Lennartsson, Ilya E. Vorontsov, Yulia A. Medvedeva, Grigory Khimulya, Takeya Kasukawa, Shahram Bahrami, Lars A. Akslen and Dimitrios Kleftogiannis and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Database.

In The Last Decade

Rezvan Ehsani

11 papers receiving 294 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rezvan Ehsani Norway	6	201	66	28	26	26	11	296
Chuanchao Zhang China	10	205 1.0×	59 0.9×	28 1.0×	17 0.7×	36 1.4×	39	319
Matthew Amodio United States	5	199 1.0×	58 0.9×	16 0.6×	30 1.2×	20 0.8×	12	268
Héctor Climente-González France	7	400 2.0×	156 2.4×	27 1.0×	30 1.2×	32 1.2×	8	486
Zhi Cao China	11	260 1.3×	59 0.9×	20 0.7×	32 1.2×	34 1.3×	32	384
Yuanjian Feng United States	6	164 0.8×	69 1.0×	20 0.7×	51 2.0×	19 0.7×	11	274
Hanshuang Li China	11	223 1.1×	39 0.6×	16 0.6×	16 0.6×	41 1.6×	25	320
Daniel Sumner Magruder Germany	5	251 1.2×	97 1.5×	12 0.4×	24 0.9×	38 1.5×	7	359
Lingxi Chen China	10	161 0.8×	72 1.1×	23 0.8×	39 1.5×	29 1.1×	43	337
Jiayuan Zhong China	12	235 1.2×	58 0.9×	24 0.9×	19 0.7×	20 0.8×	35	358
Hussein Mohsen United States	6	240 1.2×	85 1.3×	11 0.4×	22 0.8×	23 0.9×	16	325

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-authorship network of co-authors of Rezvan Ehsani

This figure shows the co-authorship network connecting the top 25 collaborators of Rezvan Ehsani. A scholar is included among the top collaborators of Rezvan Ehsani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rezvan Ehsani. Rezvan Ehsani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Ehsani, Rezvan, Inge Jonassen, Lars A. Akslen, & Dimitrios Kleftogiannis. (2023). LOCATOR: feature extraction and spatial analysis of the cancer tissue microenvironment using mass cytometry imaging technologies. Bioinformatics Advances. 3(1). vbad146–vbad146. 3 indexed citations

Ehsani, Rezvan, et al.. (2021). GAPGOM—an R package for gene annotation prediction using GO metrics. BMC Research Notes. 14(1). 162–162. 1 indexed citations

Ehsani, Rezvan & Finn Drabløs. (2020). Enhanced identification of significant regulators of gene expression. BMC Bioinformatics. 21(1). 134–134. 3 indexed citations

Ehsani, Rezvan & Finn Drabløs. (2020). Robust Distance Measures for kNN Classification of Cancer Data. Cancer Informatics. 19. 2412711846–2412711846. 54 indexed citations

Ehsani, Rezvan & Finn Drabløs. (2019). Predicting Cancer Association of LncRNAs by Co-Expression. 2808–2809. 1 indexed citations

Ehsani, Rezvan & Finn Drabløs. (2018). Measures of co-expression for improved function prediction of long non-coding RNAs. BMC Bioinformatics. 19(1). 533–533. 10 indexed citations

Ehsani, Rezvan & Finn Drabløs. (2016). TopoICSim: a new semantic similarity measure based on gene ontology. BMC Bioinformatics. 17(1). 296–296. 22 indexed citations

Ehsani, Rezvan, Shahram Bahrami, & Finn Drabløs. (2016). Feature-based classification of human transcription factors into hypothetical sub-classes related to regulatory function. BMC Bioinformatics. 17(1). 459–459. 15 indexed citations

Medvedeva, Yulia A., Andreas Lennartsson, Rezvan Ehsani, et al.. (2015). EpiFactors: a comprehensive database of human epigenetic factors and complexes. Database. 2015. bav067–bav067. 179 indexed citations

10.

Bahrami, Shahram, Rezvan Ehsani, & Finn Drabløs. (2015). A property-based analysis of human transcription factors. BMC Research Notes. 8(1). 82–82. 7 indexed citations

11.

Ehsani, Rezvan. (2012). Detection of the YMDD Motif Mutations Rate in Chronic Hepatitis B Patients Treated with Lamivudine. SHILAP Revista de lepidopterología. 1 indexed citations

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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