Nasrollah Jabbari

1.0k total citations
44 papers, 815 citations indexed

About

Nasrollah Jabbari is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nasrollah Jabbari has authored 44 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiation, 16 papers in Pulmonary and Respiratory Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nasrollah Jabbari's work include Advanced Radiotherapy Techniques (17 papers), Radiation Therapy and Dosimetry (13 papers) and Advanced X-ray and CT Imaging (10 papers). Nasrollah Jabbari is often cited by papers focused on Advanced Radiotherapy Techniques (17 papers), Radiation Therapy and Dosimetry (13 papers) and Advanced X-ray and CT Imaging (10 papers). Nasrollah Jabbari collaborates with scholars based in Iran, United States and Sweden. Nasrollah Jabbari's co-authors include Jafar Rezaie, Muhammad Nawaz, Reza Rahbarghazi‬, Elinaz Akbariazar, Maryam Feghhi, Hamid Reza Khalkhali, Leila Salimi, Tahereh Etemadi, Mahmoud Mahmoudi and Rahim Asghari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Nasrollah Jabbari

42 papers receiving 803 citations

Peers

Nasrollah Jabbari
Qian Shao China
Yuanji Xu China
Erik F. Young United States
H Mota United States
Qian Shao China
Nasrollah Jabbari
Citations per year, relative to Nasrollah Jabbari Nasrollah Jabbari (= 1×) peers Qian Shao

Countries citing papers authored by Nasrollah Jabbari

Since Specialization
Citations

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

Fields of papers citing papers by Nasrollah Jabbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasrollah Jabbari

This figure shows the co-authorship network connecting the top 25 collaborators of Nasrollah Jabbari. A scholar is included among the top collaborators of Nasrollah Jabbari 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 Nasrollah Jabbari. Nasrollah Jabbari 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.
Jabbari, Nasrollah, et al.. (2025). Enhanced anticancer efficacy of aluminum-curcumin complex compared to curcumin in colorectal cancer cells. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(7). 9109–9124.
2.
Rezaie, Jafar, Nasrollah Jabbari, Sina Sharifi, & Ali Akbari. (2022). Polyhedral oligomeric silsesquioxane (POSS)-modified citric-acid coated magnetic Fe3O4 nanoparticles for anticancer drug delivery. Materials Letters. 331. 133516–133516. 6 indexed citations
3.
Jabbari, Nasrollah, et al.. (2022). Comparing Geant4 physics models for proton-induced dose deposition and radiolysis enhancement from a gold nanoparticle. Scientific Reports. 12(1). 1779–1779. 14 indexed citations
4.
Afshar, Hadi Lotfnezhad, et al.. (2021). Prediction of Breast Cancer Survival by Machine Learning Methods: An Application of Multiple Imputation. Iranian Journal of Public Health. 50(3). 598–605. 16 indexed citations
5.
Feghhi, Maryam, et al.. (2021). Bystander effects induced by electron beam-irradiated MCF-7 cells: a potential mechanism of therapy resistance. Breast Cancer Research and Treatment. 187(3). 657–671. 5 indexed citations
6.
Mesbahi, Asghar, et al.. (2020). Design and fabrication of a Nano-based neutron shield for fast neutrons from medical linear accelerators in radiation therapy. Radiation Oncology. 15(1). 105–105. 16 indexed citations
7.
Jabbari, Nasrollah, Mohammad Karimipour, Majid Khaksar, et al.. (2019). Tumor-derived extracellular vesicles: insights into bystander effects of exosomes after irradiation. Lasers in Medical Science. 35(3). 531–545. 53 indexed citations
8.
Jabbari, Nasrollah, Muhammad Nawaz, & Jafar Rezaie. (2019). Bystander effects of ionizing radiation: conditioned media from X-ray irradiated MCF-7 cells increases the angiogenic ability of endothelial cells. Cell Communication and Signaling. 17(1). 165–165. 46 indexed citations
9.
Jabbari, Nasrollah, et al.. (2018). Modulating Survivin as a Radioresistant Factor, Caspase-3, and Apoptosis by Omega-3 Docosahexaenoic Acid Sensitizes Mutant- p53 Colorectal Cancer Cells to γ-Irradiation. Cancer Biotherapy and Radiopharmaceuticals. 33(9). 387–395. 6 indexed citations
10.
Mehnati, Parinaz, et al.. (2017). Estimation of absorbed dose of radiosensitive organs and effective sose in patients underwent abdominopelvic spiral CT scan using impact CT patient dosimetry. SHILAP Revista de lepidopterología. 75(2). 103–112.
11.
Jabbari, Nasrollah, et al.. (2017). Acceleration of skin wound healing by low‐dose indirect ionizing radiation in male rats. The Kaohsiung Journal of Medical Sciences. 33(8). 385–393. 7 indexed citations
12.
Khalkhali, Hamid Reza, et al.. (2016). Applying Data Mining Techniques to Extract Hidden Patterns about Breast Cancer Survival in an Iranian Cohort Study.. PubMed. 16(1). 31–5. 7 indexed citations
13.
Jabbari, Nasrollah, et al.. (2014). Influence of the intravenous contrast media on treatment planning dose calculations of lower esophageal and rectal cancers. Journal of Cancer Research and Therapeutics. 10(1). 147–147. 9 indexed citations
14.
Jabbari, Nasrollah, et al.. (2013). Evaluation the Effect of Photon Beam Energies on Organ at Risk Doses in Three-Dimensional Conformal Radiation Therapy. Research Journal of Applied Sciences Engineering and Technology. 6(12). 2110–2117. 7 indexed citations
15.
Jabbari, Nasrollah, et al.. (2012). Assessment of Radiology Technology Students’ Internship with Objective Structured Clinical Examination. 2(3). 19–23. 3 indexed citations
16.
Jabbari, Nasrollah, et al.. (2012). Multiple-source models for electron beams of a medical linear accelerator using BEAMDP computer code. Reports of Practical Oncology & Radiotherapy. 17(4). 211–219. 6 indexed citations
17.
Jabbari, Nasrollah, et al.. (2011). Evaluation of the electron energy fluence and angular distributions from a clinical accelerator. A BEAMnrc Monte Carlo study. Iranian Journal of radiation research. 9(1). 29–36. 1 indexed citations
18.
Jabbari, Nasrollah & Bijan Hashemi. (2009). An assessment of the Photon Contamination due to Bremsstrahlung Radiation in the Electron Beams of a NEPTUN 10PC Linac using a Monte Carlo Method. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Jabbari, Nasrollah & Bijan Hashemi. (2009). Monte Carlo modeling of electron beams from a NEPTUN 10PC medical linear accelerator. Nukleonika. 54(4). 233–238. 6 indexed citations
20.
Jabbari, Nasrollah, Bijan Hashemi, Alireza Farajollahi, & Anoshirvan Kazemnejad. (2007). Monte Carlo calculation of scattered radiation from applicators in low energy clinical electron beams. Nukleonika. 52(3). 97–103. 5 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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