Yazdan Asgari

667 total citations
40 papers, 472 citations indexed

About

Yazdan Asgari is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Yazdan Asgari has authored 40 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Epidemiology. Recurrent topics in Yazdan Asgari's work include Bioinformatics and Genomic Networks (13 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Cancer-related molecular mechanisms research (6 papers). Yazdan Asgari is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Cancer-related molecular mechanisms research (6 papers). Yazdan Asgari collaborates with scholars based in Iran, Australia and Hungary. Yazdan Asgari's co-authors include Ali Masoudi‐Nejad, Ali Salehzadeh‐Yazdi, Falk Schreiber, Marjan Yaghmaie, Mahdi Jalili, Seyed Shahriar Arab, Kamran Alimoghaddam, Ardeshir Ghavamzadeh, Pegah Khosravi and Mohammad Ghorbani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Yazdan Asgari

38 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yazdan Asgari Iran 12 289 104 52 43 39 40 472
Xiaojing Ren China 9 276 1.0× 44 0.4× 87 1.7× 22 0.5× 20 0.5× 29 535
Lu Meng China 9 299 1.0× 54 0.5× 15 0.3× 9 0.2× 49 1.3× 12 395
Alberto Calderone Italy 12 521 1.8× 57 0.5× 12 0.2× 9 0.2× 101 2.6× 16 635
Max Schelker Germany 7 318 1.1× 70 0.7× 15 0.3× 6 0.1× 22 0.6× 7 450
Najl V. Valeyev United Kingdom 10 252 0.9× 24 0.2× 13 0.3× 15 0.3× 21 0.5× 19 444
Jorge Fernández-de-Cossio-Díaz France 12 218 0.8× 37 0.4× 28 0.5× 16 0.4× 11 0.3× 22 332
Steven N. Steinway United States 12 459 1.6× 104 1.0× 52 1.0× 6 0.1× 31 0.8× 19 731
Stan Letovsky United States 7 786 2.7× 133 1.3× 22 0.4× 7 0.2× 75 1.9× 11 872
Yishai Shimoni Israel 10 467 1.6× 157 1.5× 20 0.4× 19 0.4× 69 1.8× 22 750
Ingo Schupp Germany 9 426 1.5× 38 0.4× 19 0.4× 7 0.2× 49 1.3× 10 582

Countries citing papers authored by Yazdan Asgari

Since Specialization
Citations

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

Fields of papers citing papers by Yazdan Asgari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yazdan Asgari

This figure shows the co-authorship network connecting the top 25 collaborators of Yazdan Asgari. A scholar is included among the top collaborators of Yazdan Asgari 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 Yazdan Asgari. Yazdan Asgari 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
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Asgari, Yazdan, et al.. (2023). Competitive Effect of Overexpressed C-terminal of Snail-1 (CSnail) inControl of the Growth and Metastasis of Melanoma Cells. Recent Patents on Anti-Cancer Drug Discovery. 19(3). 342–353.
3.
Mohammadi, Shima, Maryam Zahmatkesh, Yazdan Asgari, Samaneh Aminyavari, & Gholamreza Hassanzadeh. (2023). Evaluation of hippocampal arylalkylamine N-acetyltransferase activity in amyloid-β neurotoxicity. Journal of Molecular Endocrinology. 71(2). 6 indexed citations
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Asgari, Yazdan, et al.. (2023). The Potential of Circulating miR-193b, miR-146b-3p and miR-483-3p as Noninvasive Biomarkers in Cutaneous Melanoma Patients. Molecular Biotechnology. 66(10). 2830–2840. 1 indexed citations
6.
Sadroddiny, Esmaeil, et al.. (2023). Targeted expression of a designed fusion protein containing BMP2 into the lumen of exosomes. Biochimica et Biophysica Acta (BBA) - General Subjects. 1868(1). 130505–130505. 6 indexed citations
7.
Nouri, Fatemeh, et al.. (2023). The immunostimulant effects of the rice ragged stunt virus genome on the growth and metastasis of breast cancer in mouse model. International Immunopharmacology. 125(Pt A). 111101–111101. 1 indexed citations
8.
Asgari, Yazdan, et al.. (2023). GCPBayes pipeline: a tool for exploring pleiotropy at the gene level. NAR Genomics and Bioinformatics. 5(3). lqad065–lqad065. 1 indexed citations
9.
Asgari, Yazdan, Pierre‐Emmanuel Sugier, Fabienne Lesueur, et al.. (2023). Investigation of common genetic risk factors between thyroid traits and breast cancer. Human Molecular Genetics. 33(1). 38–47. 1 indexed citations
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Pouresmaeili, Farkhondeh, et al.. (2022). Constructing mRNA, miRNA, circRNA and lncRNA regulatory network by Analysis of microarray data in breast cancer. Gene Reports. 26. 101510–101510. 1 indexed citations
12.
Beheshtizadeh, Nima, Yazdan Asgari, Noushin Nasiri, et al.. (2021). A network analysis of angiogenesis/osteogenesis-related growth factors in bone tissue engineering based on in-vitro and in-vivo data: A systems biology approach. Tissue and Cell. 72. 101553–101553. 26 indexed citations
13.
Mohammadian, Farideh, et al.. (2021). Binder design for targeting SARS-CoV-2 spike protein: An in silico perspective. Gene Reports. 26. 101452–101452. 2 indexed citations
14.
Mafakher, Ladan, Zahra Salehi, Yazdan Asgari, et al.. (2021). Unveiling the structure of GPI-anchored protein of Malassezia globosa and its pathogenic role in pityriasis versicolor. Journal of Molecular Modeling. 27(9). 246–246. 3 indexed citations
15.
Taheri, Mohammad, et al.. (2021). Expression Analysis of Long Non-Coding RNAs Related With FOXM1, GATA3, FOXA1 and ESR1 in Breast Tissues. Frontiers in Oncology. 11. 671418–671418. 8 indexed citations
16.
Heidari, Reza, Mostafa Akbariqomi, Yazdan Asgari, Diako Ebrahimi, & Hamid Alinejad‐Rokny. (2021). A systematic review of long non-coding RNAs with a potential role in breast cancer. Mutation Research/Reviews in Mutation Research. 787. 108375–108375. 15 indexed citations
17.
Mahmoudi, Shahram, Yazdan Asgari, Hamzeh Rahimi, et al.. (2019). Thioredoxin is a potential pathogenesis attribute of Malassezia globosa and Malassezia sympodialis in pityriasis versicolor. Gene Reports. 17. 100468–100468. 1 indexed citations
18.
Tahmoorespur, Mojtaba, et al.. (2015). Analysis of the enzyme network involved in cattle milk production using graph theory.. PubMed. 4(2). 93–103. 3 indexed citations
19.
Asgari, Yazdan, et al.. (2015). Alterations in cancer cell metabolism: The Warburg effect and metabolic adaptation. Genomics. 105(5-6). 275–281. 80 indexed citations
20.
Jalili, Mahdi, Ali Salehzadeh‐Yazdi, Yazdan Asgari, et al.. (2015). CentiServer: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis. PLoS ONE. 10(11). e0143111–e0143111. 85 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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