Javid Sadri Nahand

5.0k total citations · 2 hit papers
96 papers, 3.8k citations indexed

About

Javid Sadri Nahand is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Javid Sadri Nahand has authored 96 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 44 papers in Cancer Research and 18 papers in Infectious Diseases. Recurrent topics in Javid Sadri Nahand's work include MicroRNA in disease regulation (36 papers), Extracellular vesicles in disease (25 papers) and Cancer-related molecular mechanisms research (16 papers). Javid Sadri Nahand is often cited by papers focused on MicroRNA in disease regulation (36 papers), Extracellular vesicles in disease (25 papers) and Cancer-related molecular mechanisms research (16 papers). Javid Sadri Nahand collaborates with scholars based in Iran, South Africa and United States. Javid Sadri Nahand's co-authors include Hamed Mirzaei, Mohsen Moghoofei, Hamid Reza Mirzaei, Michael R. Hamblin, Arash Salmaninejad, Hossein Bannazadeh Baghi, Farah Bokharaei‐Salim, Fatemeh Momeni, Mohammad Reza Karimzadeh and Majid Rahmati and has published in prestigious journals such as Journal of Neurochemistry, International Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Javid Sadri Nahand

90 papers receiving 3.8k citations

Hit Papers

Breast cancer diagnosis: Imaging techniques and biochemic... 2017 2026 2020 2023 2017 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javid Sadri Nahand Iran 38 2.3k 1.8k 485 478 459 96 3.8k
Li Zhou China 37 2.1k 0.9× 887 0.5× 807 1.7× 775 1.6× 558 1.2× 145 4.2k
Qianqian Zhu China 35 1.9k 0.8× 938 0.5× 458 0.9× 549 1.1× 437 1.0× 159 3.9k
Yufeng Yuan China 32 1.9k 0.8× 1.3k 0.7× 346 0.7× 315 0.7× 436 0.9× 114 3.3k
Xuebing Li China 29 1.8k 0.8× 819 0.5× 360 0.7× 259 0.5× 296 0.6× 145 3.3k
Ji‐Fu Wei China 35 3.2k 1.4× 1.5k 0.9× 217 0.4× 404 0.8× 451 1.0× 188 5.0k
Michael Zhuo Wang United States 20 2.4k 1.0× 1.1k 0.6× 481 1.0× 302 0.6× 235 0.5× 49 3.5k
César López‐Camarillo Mexico 34 2.0k 0.9× 1.1k 0.6× 258 0.5× 205 0.4× 496 1.1× 160 3.4k
Zhenggang Zhu China 32 2.2k 0.9× 1.1k 0.6× 343 0.7× 574 1.2× 854 1.9× 154 3.7k
Qun Lin China 37 3.4k 1.5× 1.8k 1.0× 663 1.4× 855 1.8× 1.1k 2.3× 127 6.5k
Kui Zhang China 37 2.4k 1.0× 740 0.4× 365 0.8× 794 1.7× 600 1.3× 188 4.5k

Countries citing papers authored by Javid Sadri Nahand

Since Specialization
Citations

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

Fields of papers citing papers by Javid Sadri Nahand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javid Sadri Nahand. 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 Javid Sadri Nahand. The network helps show where Javid Sadri Nahand may publish in the future.

Co-authorship network of co-authors of Javid Sadri Nahand

This figure shows the co-authorship network connecting the top 25 collaborators of Javid Sadri Nahand. A scholar is included among the top collaborators of Javid Sadri Nahand 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 Javid Sadri Nahand. Javid Sadri Nahand 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.
Nahand, Javid Sadri, et al.. (2026). CAR-engineered cell therapies: current understandings and future perspectives. Molecular Biomedicine. 7(1). 7–7.
2.
Shahabi, Parviz, et al.. (2025). Exosomal regulation of cellular reprogramming and polarization in the tumor microenvironment. Cancer Cell International. 26(1). 11–11.
3.
Kesheh, Mina Mobini, Mohammad Yousef Memar, Hossein Bannazadeh Baghi, et al.. (2024). MicroRNAs and human viral diseases: A focus on the role of microRNA-29. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(1). 167500–167500. 10 indexed citations
4.
Baghi, Hossein Bannazadeh, et al.. (2024). War or peace: Viruses and metastasis. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1879(6). 189179–189179. 14 indexed citations
5.
Taghizadieh, Mohammad, et al.. (2024). The tumor microenvironment's gambit: Exosomal pawns on the board of head and neck cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1879(6). 189189–189189. 14 indexed citations
6.
Nahand, Javid Sadri, et al.. (2024). Let’s make it personal: CRISPR tools in manipulating cell death pathways for cancer treatment. Cell Biology and Toxicology. 40(1). 61–61. 16 indexed citations
9.
Nahand, Javid Sadri, et al.. (2023). Evaluation of expression pattern of cellular miRNAs (let-7b, miR-29a, miR-126, miR-34a, miR-181a-5p) and IL-6, TNF-α, and TGF-β in patients with pseudoexfoliation syndrome. Pathology - Research and Practice. 249. 154721–154721. 12 indexed citations
10.
Khatami, Alireza, Mohammad Taghizadieh, Javid Sadri Nahand, et al.. (2023). Evaluation of MicroRNA Expression Pattern (miR-28, miR-181a, miR-34a, and miR-31) in Patients with COVID-19 Admitted to ICU and Diabetic COVID-19 Patients. Intervirology. 66(1). 63–76. 12 indexed citations
11.
Doroudian, Mohammad, et al.. (2023). Viral Nanoparticles‐Mediated Delivery of Therapeutic Cargo. Advanced Therapeutics. 6(10). 13 indexed citations
12.
Yekani, Mina, Solmaz Maleki Dizaj, Hossein Sedaghat, et al.. (2023). Preparation, biocompatibility, and antimicrobial effects of gelatin nanofibers scaffolds containing vancomycin and curcumin. Journal of Drug Delivery Science and Technology. 90. 105029–105029. 10 indexed citations
13.
Mirzaei, Hamed, Neda Rahimian, Hamid Reza Mirzaei, Javid Sadri Nahand, & Michael R. Hamblin. (2022). Exosomes and MicroRNAs in Biomedical Science. 13 indexed citations
14.
Memar, Mohammad Yousef, Abolfazl Jafari-Sales, Ahad Bazmani, et al.. (2022). The Effect of Oncogene Proteins of Human Papillomaviruses on Apoptosis Pathways in Prostate Cancer. ONCOLOGIE. 24(2). 227–245. 15 indexed citations
15.
Aghbash, Parisa Shiri, Ali Shamekh, Taher Entezari‐Maleki, et al.. (2022). SARS-CoV-2: Receptor and Co-receptor Tropism Probability. Current Microbiology. 79(5). 133–133. 48 indexed citations
16.
Nahand, Javid Sadri, Mohammad Taghizadieh, Mohammad Saeid Ebrahimi, et al.. (2021). Oncogenic viruses and chemoresistance: What do we know?. Pharmacological Research. 170. 105730–105730. 33 indexed citations
17.
Mostafaei, Shayan, Babak Sayad, Mohammad Doroudian, et al.. (2021). The role of viral and bacterial infections in the pathogenesis of IPF: a systematic review and meta-analysis. Respiratory Research. 22(1). 53–53. 24 indexed citations
18.
Nahand, Javid Sadri, Mohsen Moghoofei, Arash Salmaninejad, et al.. (2019). Pathogenic role of exosomes and microRNAs in HPV‐mediated inflammation and cervical cancer: A review. International Journal of Cancer. 146(2). 305–320. 187 indexed citations
19.
Moghoofei, Mohsen, Shayan Mostafaei, Abolfazl Nesaei, et al.. (2018). Epstein–Barr virus and thyroid cancer: The role of viral expressed proteins. Journal of Cellular Physiology. 234(4). 3790–3799. 48 indexed citations
20.
Tavakolizadeh, Jahanshir, Kambiz Roshanaei, Arash Salmaninejad, et al.. (2017). MicroRNAs and exosomes in depression: Potential diagnostic biomarkers. Journal of Cellular Biochemistry. 119(5). 3783–3797. 141 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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