Bahman Akbari

533 total citations
26 papers, 398 citations indexed

About

Bahman Akbari is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Bahman Akbari has authored 26 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Bahman Akbari's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (6 papers) and Transgenic Plants and Applications (5 papers). Bahman Akbari is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (6 papers) and Transgenic Plants and Applications (5 papers). Bahman Akbari collaborates with scholars based in Iran, United States and China. Bahman Akbari's co-authors include Safar Farajnia, Fatemeh Safari, Leila Rahbarnia, Hassan Dariushnejad, Mohammadreza Yousefi, Jafar Majidi, Hossein Babaei, Nejat Mahdieh, Mehrdad Sharifi and Younes Ghasemi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Life Sciences and Critical Reviews in Biotechnology.

In The Last Decade

Bahman Akbari

23 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bahman Akbari Iran 11 206 144 140 90 73 26 398
Dominik Escher Switzerland 10 381 1.8× 54 0.4× 300 2.1× 31 0.3× 27 0.4× 11 590
Laura Heeb Switzerland 5 135 0.7× 93 0.6× 40 0.3× 10 0.1× 140 1.9× 7 344
Polly E. Mattila United States 10 316 1.5× 103 0.7× 24 0.2× 9 0.1× 47 0.6× 12 485
Robert Weik Austria 11 367 1.8× 73 0.5× 156 1.1× 38 0.4× 9 0.1× 13 492
Suchitra Kamle United States 15 372 1.8× 157 1.1× 17 0.1× 30 0.3× 13 0.2× 27 542
Hui Theng Gan Singapore 10 343 1.7× 53 0.4× 164 1.2× 10 0.1× 13 0.2× 17 464
Paul Massa Italy 7 172 0.8× 165 1.1× 11 0.1× 60 0.7× 13 0.2× 11 410
Zahangir Khaled United States 10 484 2.3× 138 1.0× 15 0.1× 46 0.5× 9 0.1× 13 704
Robin Hyde‐DeRuyscher United States 8 340 1.7× 46 0.3× 94 0.7× 8 0.1× 56 0.8× 8 494
Sarah Haßdenteufel Germany 13 510 2.5× 69 0.5× 18 0.1× 15 0.2× 33 0.5× 15 646

Countries citing papers authored by Bahman Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Bahman Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bahman Akbari

This figure shows the co-authorship network connecting the top 25 collaborators of Bahman Akbari. A scholar is included among the top collaborators of Bahman Akbari 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 Bahman Akbari. Bahman Akbari 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.
Akbari, Bahman, et al.. (2024). CRISPR‐Cas9 delivery strategies and applications: Review and update. genesis. 62(3). e23598–e23598. 7 indexed citations
2.
Rabbani, Bahareh, et al.. (2024). Pancreatitis as a Main Consequence of APOC2-Related Hypertriglyceridemia: The Role of Nonsense and Frameshift Variants. International Journal of Genomics. 2024. 1–13. 1 indexed citations
3.
Safari, Fatemeh, et al.. (2024). The Association Between the 5-Hydroxytryptamine Receptor 2A Gene Variants rs6311 and rs6313 and Obstructive Sleep Apnea in the Iranian Kurdish Population. Genetic Testing and Molecular Biomarkers. 28(4). 159–164. 2 indexed citations
4.
Najafi, Souzan, et al.. (2024). Interplay of miRNAs and lncRNAs in STAT3 signaling pathway in colorectal cancer progression. Cancer Cell International. 24(1). 16–16. 14 indexed citations
5.
6.
7.
Safari, Fatemeh & Bahman Akbari. (2022). Knockout of caspase-7 gene improves the expression of recombinant protein in CHO cell line through the cell cycle arrest in G2/M phase. Biological Research. 55(1). 2–2. 14 indexed citations
8.
Akbari, Bahman, et al.. (2021). Design and construction a novel humanized biparatopic nanobody-based immunotoxin against epidermal growth factor receptor (EGFR). Journal of Drug Delivery Science and Technology. 66. 102837–102837. 8 indexed citations
9.
Akbari, Bahman, et al.. (2021). Paper Title “Hu7CG2: A Novel Humanized Anti-Epidermal Growth Factor Receptor (EGFR) Biparatopic Nanobody”. Molecular Biotechnology. 63(6). 525–533. 4 indexed citations
10.
Safari, Fatemeh, et al.. (2021). Immunotoxins and nanobody-based immunotoxins: review and update. Journal of drug targeting. 29(8). 848–862. 30 indexed citations
11.
Farajnia, Safar, et al.. (2018). Expression and Evaluation of HuscFv Antibody -PE40 Immunotoxin for Target Therapy of EGFR-Overexpressing Cancers. Iranian Journal of Biotechnology. 16(4). 241–247. 8 indexed citations
12.
Akbari, Bahman, Safar Farajnia, Fatemeh Safari, et al.. (2017). Immunotoxins in cancer therapy: Review and update. International Reviews of Immunology. 36(4). 207–219. 102 indexed citations
13.
Rahbarnia, Leila, Safar Farajnia, Hossein Babaei, et al.. (2016). Invert biopanning: A novel method for efficient and rapid isolation of scFvs by phage display technology. Biologicals. 44(6). 567–573. 17 indexed citations
14.
Akbari, Bahman, Safar Farajnia, Nosratollah Zarghami, et al.. (2016). Construction, expression, and activity of a novel immunotoxin comprising a humanized antiepidermal growth factor receptor scFv and modified Pseudomonas aeruginosa exotoxin A. Anti-Cancer Drugs. 28(3). 263–270. 9 indexed citations
15.
Akbari, Bahman, Safar Farajnia, Nosratollah Zarghami, et al.. (2016). Design, expression and evaluation of a novel humanized single chain antibody against epidermal growth factor receptor (EGFR). Protein Expression and Purification. 127. 8–15. 15 indexed citations
16.
Rahbarnia, Leila, et al.. (2016). Development of a Novel Human Single Chain Antibody Against EGFRVIII Antigen by Phage Display Technology. Advanced Pharmaceutical Bulletin. 6(4). 563–571. 2 indexed citations
17.
Rahbarnia, Leila, et al.. (2016). Evolution of phage display technology: from discovery to application. Journal of drug targeting. 25(3). 216–224. 49 indexed citations
18.
Farajnia, Safar, et al.. (2015). Development and evaluation of a single domain antibody against human epidermal growth factor receptor (EGFR). Protein Expression and Purification. 120. 59–64. 10 indexed citations
19.
Mahdieh, Nejat, et al.. (2012). Screening of OTOF mutations in Iran: A novel mutation and review. International Journal of Pediatric Otorhinolaryngology. 76(11). 1610–1615. 30 indexed citations
20.
Bahrami, Abdulrahman, et al.. (2006). Evaluation of Trans, Trans-Muconic Acid in Urine of Exposed Workers to Benzene in a Cokery Plant. SHILAP Revista de lepidopterología. 13(240). 49–54. 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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