Elham Nazari

520 total citations
50 papers, 275 citations indexed

About

Elham Nazari is a scholar working on Molecular Biology, Cancer Research and Health Information Management. According to data from OpenAlex, Elham Nazari has authored 50 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Cancer Research and 7 papers in Health Information Management. Recurrent topics in Elham Nazari's work include Cancer-related molecular mechanisms research (7 papers), Artificial Intelligence in Healthcare (5 papers) and MicroRNA in disease regulation (4 papers). Elham Nazari is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Artificial Intelligence in Healthcare (5 papers) and MicroRNA in disease regulation (4 papers). Elham Nazari collaborates with scholars based in Iran, United Kingdom and Australia. Elham Nazari's co-authors include Amir Avan, Hamed Tabesh, Mahmood Tara, Majid Khazaei, Gordon A. Ferns, Seyed Mahdi Hassanian, Ghazaleh Khalili‐Tanha, Mahdi Gholian‐Aval, Amin Mehrabian and Mohammadreza Nassiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

In The Last Decade

Elham Nazari

41 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elham Nazari Iran 10 120 78 50 42 39 50 275
Mohanad Mohammed South Africa 9 104 0.9× 36 0.5× 112 2.2× 66 1.6× 19 0.5× 16 299
R. Klar Germany 12 117 1.0× 59 0.8× 57 1.1× 21 0.5× 56 1.4× 31 287
Yip Cheng Har Malaysia 7 123 1.0× 62 0.8× 114 2.3× 68 1.6× 90 2.3× 11 338
Seungju Lee South Korea 7 148 1.2× 57 0.7× 43 0.9× 41 1.0× 55 1.4× 22 416
Giovanna Nicora Italy 9 167 1.4× 57 0.7× 79 1.6× 46 1.1× 22 0.6× 35 434
Marcelo dos Santos Brazil 10 74 0.6× 47 0.6× 17 0.3× 15 0.4× 37 0.9× 33 281
Ana Cernea Spain 8 82 0.7× 41 0.5× 36 0.7× 25 0.6× 38 1.0× 25 273
Thomas M. Gudewicz United States 9 115 1.0× 37 0.5× 127 2.5× 30 0.7× 49 1.3× 14 343
Safiye Çelik United States 8 146 1.2× 47 0.6× 53 1.1× 35 0.8× 25 0.6× 11 316
John Sharko United States 6 76 0.6× 83 1.1× 113 2.3× 16 0.4× 53 1.4× 8 314

Countries citing papers authored by Elham Nazari

Since Specialization
Citations

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

Fields of papers citing papers by Elham Nazari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elham Nazari

This figure shows the co-authorship network connecting the top 25 collaborators of Elham Nazari. A scholar is included among the top collaborators of Elham Nazari 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 Elham Nazari. Elham Nazari 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.
Khalili‐Tanha, Ghazaleh, Alireza Shoari, & Elham Nazari. (2025). The role of Irisin in modulating hypoxia-related disorders: New insights and implications for cancer therapy. SHILAP Revista de lepidopterología. 5. 100068–100068.
4.
Allahyari, Mohammad Sadegh, et al.. (2024). Unlocking the power of public awareness: paving the way for sustainable wetland management in Anzali, Iran. Frontiers in Environmental Science. 11.
5.
Khalili‐Tanha, Ghazaleh, et al.. (2024). The Effects of Hydrogen-Rich Water on Blood Lipid Profiles in Metabolic Disorders Clinical Trials: A Systematic Review and Meta-analysis. International Journal of Endocrinology and Metabolism. 22(3). e148600–e148600. 1 indexed citations
6.
Rouzbahani, Arian Karimi, et al.. (2024). Machine learning algorithms and biomarkers identification for pancreatic cancer diagnosis using multi-omics data integration. Pathology - Research and Practice. 263. 155602–155602. 4 indexed citations
7.
Pourali, Ghazaleh, et al.. (2024). Abstract 4930: Identification of CBX7 and PCDHB18 as novel prognostic biomarkers of cervical cancer: RNA-sequencing and machine learning analysis. Cancer Research. 84(6_Supplement). 4930–4930. 1 indexed citations
8.
Khalili‐Tanha, Ghazaleh, et al.. (2024). Diagnostic, prognostic, and predictive biomarkers in gastric cancer: from conventional to novel biomarkers. Translational research. 274. 35–48. 9 indexed citations
9.
Khalili‐Tanha, Ghazaleh, Hamid Fiuji, Majid Khazaei, et al.. (2024). The therapeutic impact of programmed death – 1 in the treatment of colorectal cancer. Pathology - Research and Practice. 259. 155345–155345. 3 indexed citations
10.
Hassanian, Seyed Mahdi, Majid Ghayour‐Mobarhan, Gordon A. Ferns, et al.. (2023). The prognostic, diagnostic, and therapeutic impact of Long noncoding RNAs in gastric cancer. Cancer Genetics. 282-283. 14–26. 10 indexed citations
11.
Zafari, Nima, Hamid Fiuji, Seyed Mahdi Hassanian, et al.. (2023). Prognostic value of primary tumor location in colorectal cancer: an updated meta-analysis. Clinical and Experimental Medicine. 23(8). 4369–4383. 5 indexed citations
12.
Nazari, Elham, Mohammadreza Nassiri, Seyed Mahdi Hassanian, et al.. (2023). Machine learning algorithms reveal potential miRNAs biomarkers in gastric cancer. Scientific Reports. 13(1). 6147–6147. 26 indexed citations
13.
Naderi, HamidReza, Ghazaleh Pourali, Ghazaleh Khalili‐Tanha, et al.. (2023). Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer. Scientific Reports. 13(1). 16678–16678. 12 indexed citations
14.
Nazari, Elham, Ghazaleh Khalili‐Tanha, Ghazaleh Pourali, et al.. (2023). Bioinformatics analysis and machine learning approach applied to the identification of novel key genes involved in non-alcoholic fatty liver disease. Scientific Reports. 13(1). 20489–20489. 6 indexed citations
15.
Pourali, Ghazaleh, Nima Zafari, Hamid Fiuji, et al.. (2023). Extracellular vesicles: Emerging mediators of cell communication in gastrointestinal cancers exhibiting metabolic abnormalities. Cytokine & Growth Factor Reviews. 73. 101–113. 7 indexed citations
16.
Nazari, Elham, Reza Arefnezhad, Majid Khazaei, et al.. (2023). Breast cancer prediction using different machine learning methods applying multi factors. Journal of Cancer Research and Clinical Oncology. 149(19). 17133–17146. 7 indexed citations
17.
Nazari, Elham, et al.. (2021). Decision fusion in healthcare and medicine: a narrative review. mHealth. 8. 8–8. 7 indexed citations
18.
Nazari, Elham, et al.. (2017). Comprehensive overview of computer-based health information tailoring: a scoping review protocol. BMJ Open. 7(12). e019215–e019215. 15 indexed citations
19.
Nazari, Elham, et al.. (2016). The Common Applications of Social Networks in Healthcare. SHILAP Revista de lepidopterología.
20.
Nazari, Elham, et al.. (2015). The Role of Social Networks in Healthcare: Applications and Limitations. 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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