Eskandar Taghizadeh

713 total citations
35 papers, 492 citations indexed

About

Eskandar Taghizadeh is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Eskandar Taghizadeh has authored 35 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Surgery. Recurrent topics in Eskandar Taghizadeh's work include Lipoproteins and Cardiovascular Health (8 papers), MicroRNA in disease regulation (5 papers) and Lipid metabolism and disorders (4 papers). Eskandar Taghizadeh is often cited by papers focused on Lipoproteins and Cardiovascular Health (8 papers), MicroRNA in disease regulation (5 papers) and Lipid metabolism and disorders (4 papers). Eskandar Taghizadeh collaborates with scholars based in Iran, United Kingdom and Chile. Eskandar Taghizadeh's co-authors include Amirhossein Sahebkar, Daryoush Rostami, Seyed Mohammad Gheibi Hayat, George E. Barreto, Alihossein Saberi, Mehdi Rezaee, Seyed Mohammad Gheibihayat, Seyed Masoud Rezaeijo, Najma Farahani and Jamshid Gholizadeh Navashenaq and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Journal of Cellular Physiology.

In The Last Decade

Eskandar Taghizadeh

34 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eskandar Taghizadeh Iran 14 230 85 80 71 65 35 492
Andrew Kuo United States 14 411 1.8× 86 1.0× 64 0.8× 71 1.0× 66 1.0× 22 669
Eileen Vesely United States 7 328 1.4× 83 1.0× 37 0.5× 39 0.5× 64 1.0× 8 486
Sahana Suresh Babu United States 13 381 1.7× 166 2.0× 71 0.9× 85 1.2× 107 1.6× 15 620
Tracy S. Obertone United States 14 354 1.5× 85 1.0× 54 0.7× 86 1.2× 25 0.4× 18 661
Mari Merentie Finland 13 322 1.4× 62 0.7× 98 1.2× 37 0.5× 193 3.0× 17 547
Isabelle Ernens Luxembourg 12 237 1.0× 127 1.5× 54 0.7× 63 0.9× 145 2.2× 20 561
Valerie P. Tan United States 8 361 1.6× 125 1.5× 48 0.6× 41 0.6× 45 0.7× 17 513
Madankumar Ghatge United States 12 163 0.7× 71 0.8× 33 0.4× 156 2.2× 59 0.9× 22 447
Hesham M. El‐Shewy United States 17 457 2.0× 60 0.7× 104 1.3× 50 0.7× 92 1.4× 19 746

Countries citing papers authored by Eskandar Taghizadeh

Since Specialization
Citations

This map shows the geographic impact of Eskandar Taghizadeh'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 Eskandar Taghizadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eskandar Taghizadeh more than expected).

Fields of papers citing papers by Eskandar Taghizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eskandar Taghizadeh. 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 Eskandar Taghizadeh. The network helps show where Eskandar Taghizadeh may publish in the future.

Co-authorship network of co-authors of Eskandar Taghizadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Eskandar Taghizadeh. A scholar is included among the top collaborators of Eskandar Taghizadeh 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 Eskandar Taghizadeh. Eskandar Taghizadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bahreiny, Seyed Sobhan, et al.. (2023). The influence of CDKAL1 (rs7754840) gene polymorphism on susceptibility to gestational diabetes mellitus in pregnant women: a systematic review and meta-analysis. International Journal of Diabetes in Developing Countries. 44(S1). 3–12. 15 indexed citations
2.
Akbari, Zahra, et al.. (2023). The role of miRNAs in the diagnosis and treatment of male infertility: a review study. SHILAP Revista de lepidopterología. 24(1). 9 indexed citations
3.
Rezaeijo, Seyed Masoud, et al.. (2023). Integrative bioinformatics analysis of miRNA and mRNA expression profiles identified some potential biomarkers for breast cancer. SHILAP Revista de lepidopterología. 24(1). 4 indexed citations
4.
Mahmoudi, Ali, et al.. (2022). Effect of diabetes on efferocytosis process. Molecular Biology Reports. 49(11). 10849–10863. 14 indexed citations
5.
Taghizadeh, Eskandar, et al.. (2022). The role of efferocytosis in neuro-degenerative diseases. Neurological Sciences. 43(3). 1593–1603. 12 indexed citations
6.
Taghizadeh, Eskandar, et al.. (2022). Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods. BMC Bioinformatics. 23(1). 410–410. 53 indexed citations
7.
Taghizadeh, Eskandar, Daryoush Rostami, Seyed Mohammad Gheibi Hayat, et al.. (2022). Cellular and Molecular Aspects of Managing Familial Hypercholesterolemia: Recent and Emerging Therapeutic Approaches. Endocrine Metabolic & Immune Disorders - Drug Targets. 22(10). 1018–1028. 3 indexed citations
8.
Taghizadeh, Eskandar, et al.. (2021). Abnormal angiogenesis associated with HIF-1α/VEGF signaling pathway in recurrent miscarriage along with therapeutic goals. Gene Reports. 26. 101483–101483. 8 indexed citations
9.
Taghizadeh, Eskandar, et al.. (2021). CD47 Functionalization of Nanoparticles as a Poly(ethylene glycol) Alternative: A Novel Approach to Improve Drug Delivery. Current Drug Targets. 22(15). 1750–1759. 18 indexed citations
10.
Taghizadeh, Eskandar, et al.. (2021). Genetics of Familial Combined Hyperlipidemia (FCHL) Disorder: An Update. Biochemical Genetics. 60(2). 453–481. 6 indexed citations
11.
Taghizadeh, Eskandar, et al.. (2021). LncRNAs as putative biomarkers and therapeutic targets for Parkinson’s disease. Neurological Sciences. 42(10). 4007–4015. 23 indexed citations
12.
Mousavi, Seyyed Mohammad, et al.. (2021). A Novel Variant in Iranian Patient with Cystinuria: A Case Report. Iranian Journal of Public Health. 50(9). 1897–1901. 1 indexed citations
13.
Taghizadeh, Eskandar, et al.. (2020). Limb-girdle Muscular Dystrophy and Therapy: Insights into Cell and Gene-based Approaches. Current Gene Therapy. 19(6). 386–394. 6 indexed citations
14.
Mardani, Rajab, Eskandar Taghizadeh, Mohammad Reza Karimzadeh, et al.. (2020). A novel variant in C5ORF42 gene is associated with Joubert syndrome. Molecular Biology Reports. 47(5). 4099–4103. 2 indexed citations
15.
Taghizadeh, Eskandar, et al.. (2020). Role of long non-coding RNAs (LncRNAs) in multiple sclerosis: a brief review. Neurological Sciences. 41(9). 2443–2451. 6 indexed citations
16.
Taghizadeh, Eskandar, et al.. (2019). Roles of E6 and E7 Human Papillomavirus Proteins in Molecular Pathogenesis of Cervical Cancer. Current Protein and Peptide Science. 20(9). 926–934. 25 indexed citations
17.
Rostami, Daryoush, et al.. (2019). Involvement of aberrant regulation of epigenetic mechanisms in the pathogenesis of Parkinson's disease and epigenetic‐based therapies. Journal of Cellular Physiology. 234(11). 19307–19319. 33 indexed citations
18.
Taghizadeh, Eskandar, et al.. (2019). A novel mutation in USF1 gene is associated with familial combined hyperlipidemia. IUBMB Life. 72(4). 616–623. 5 indexed citations
19.
Taghizadeh, Eskandar, et al.. (2018). Molecular mechanisms, prevalence, and molecular methods for familial combined hyperlipidemia disease: A review. Journal of Cellular Biochemistry. 120(6). 8891–8898. 15 indexed citations
20.
Taghizadeh, Eskandar, et al.. (2017). Distribution of Human Papillomavirus Genotypes among Women in Mashhad, Iran. Intervirology. 60(1-2). 38–42. 19 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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