Ali Najafi

2.2k total citations
115 papers, 1.6k citations indexed

About

Ali Najafi is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Ali Najafi has authored 115 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 16 papers in Cancer Research and 12 papers in Epidemiology. Recurrent topics in Ali Najafi's work include Cancer-related molecular mechanisms research (10 papers), Bacteriophages and microbial interactions (8 papers) and RNA modifications and cancer (8 papers). Ali Najafi is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Bacteriophages and microbial interactions (8 papers) and RNA modifications and cancer (8 papers). Ali Najafi collaborates with scholars based in Iran, Hungary and Türkiye. Ali Najafi's co-authors include Ali Masoudi‐Nejad, Reza Ranjbar, Balal Sadeghı, Parham Moradi, Sina Tabakhi, Mehrdad Moosazadeh Moghaddam, Habib MotieGhader, Mohammad Hassan Karimpour, Majid Ghaderi and Mohammad Taghi Shakeri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ali Najafi

109 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Najafi Iran 23 836 239 195 148 127 115 1.6k
Wen‐Chi Chou United States 17 934 1.1× 145 0.6× 109 0.6× 166 1.1× 183 1.4× 26 1.4k
Rui Fang China 23 773 0.9× 136 0.6× 202 1.0× 117 0.8× 68 0.5× 104 2.4k
Mrinmoy Ghosh South Korea 27 667 0.8× 235 1.0× 154 0.8× 79 0.5× 65 0.5× 103 2.2k
Michelle Giglio United States 14 1.3k 1.5× 127 0.5× 87 0.4× 106 0.7× 168 1.3× 21 1.7k
Jaak Simm Belgium 20 697 0.8× 135 0.6× 83 0.4× 148 1.0× 94 0.7× 46 1.5k
Yanxin Huang China 24 882 1.1× 112 0.5× 152 0.8× 139 0.9× 47 0.4× 108 1.8k
Jorng‐Tzong Horng Taiwan 28 1.4k 1.6× 224 0.9× 175 0.9× 171 1.2× 68 0.5× 135 2.6k
Yuan Jiang China 27 1.2k 1.5× 93 0.4× 252 1.3× 126 0.9× 104 0.8× 166 2.7k
Cesar Arze United States 11 1.1k 1.3× 287 1.2× 172 0.9× 77 0.5× 75 0.6× 11 1.5k
Dominik Heider Germany 30 1.3k 1.6× 425 1.8× 125 0.6× 405 2.7× 246 1.9× 140 2.9k

Countries citing papers authored by Ali Najafi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Najafi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Najafi

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Najafi. A scholar is included among the top collaborators of Ali Najafi 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 Ali Najafi. Ali Najafi 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.
Nouri, Leila, et al.. (2025). Active chitosan film containing single and double nanoemulsions of Oliveira decumbens Vent essential oil/anthocyanin of eggplant for chicken preservation. Journal of Food Measurement & Characterization. 19(10). 7381–7403. 4 indexed citations
2.
Najafi, Ali, et al.. (2025). Predicting host-pathogen interactions with machine learning algorithms: A scoping review. Infection Genetics and Evolution. 130. 105751–105751. 1 indexed citations
3.
4.
Jamalkandi, Sadegh Azimzadeh, et al.. (2023). Exploring Co-occurrence patterns and microbial diversity in the lung microbiome of patients with non-small cell lung cancer. BMC Microbiology. 23(1). 182–182. 4 indexed citations
5.
Lanjanian, Hossein, et al.. (2023). A deep learning-based framework for predicting survival-associated groups in colon cancer by integrating multi-omics and clinical data. Heliyon. 9(7). e17653–e17653. 13 indexed citations
6.
Faraji, Ali Reza, et al.. (2023). An overview of the characteristics, toxicity, and treatment methods for the degradation of pharmaceutically active compounds: Naproxen as a case study. Journal of environmental chemical engineering. 11(6). 111575–111575. 16 indexed citations
7.
Najafi, Ali, et al.. (2023). DeeP4med: deep learning for P4 medicine to predict normal and cancer transcriptome in multiple human tissues. BMC Bioinformatics. 24(1). 275–275. 4 indexed citations
8.
9.
Najafi, Ali, et al.. (2022). Identification of shared molecular signatures between multiple sclerosis and Parkinson's disease using systems biology approach. Gene Reports. 27. 101604–101604. 1 indexed citations
10.
MotieGhader, Habib, et al.. (2017). mRNA–miRNA bipartite network reconstruction to predict prognostic module biomarkers in colorectal cancer stage differentiation. Molecular BioSystems. 13(10). 2168–2180. 31 indexed citations
11.
Farnoosh, Gholamreza, Ali Mohammad Latifi, Khosro Khajeh, Hossein Aghamollaei, & Ali Najafi. (2016). Enzymatic Degradation of Organophosphate Compounds: Evaluation of High-level Production, Solubility and Stability. 2(4). 339–344. 3 indexed citations
12.
Nazari, Mansour & Ali Najafi. (2016). An epidemiological study on scorpion envenomation in Kazerun, Iran, 2009-2014.. Majallah-i dānishgāh-i ̒ulūm-i pizishkī-i Māzandarān/Journal of Mazandaran University of Medical Sciences. 26(140). 206–211. 1 indexed citations
13.
Nazari, Mansour, et al.. (2016). Situation analysis of cutaneous leishmaniasis in an endemic area, south of Iran. Asian Pacific Journal of Tropical Medicine. 10(1). 92–97. 11 indexed citations
14.
Ranjbar, Reza, et al.. (2014). USE OF TAQMAN (R) REAL-TIME PCR FOR RAPID DETECTION OF SALMONELLA ENTERICA SEROVAR TYPHI. Research Repository Portal (Ilam University of Medical Sciences). 1 indexed citations
15.
Arjmand, Mohammad, et al.. (2014). The metabonomic changes of leishmania major, s promastigotes (fredlin strain) after in vitro artemisinin treatment at stationary phase. Koomesh Journal. 16(1). 90–96. 2 indexed citations
16.
Najafi, Ali, et al.. (2010). Spatial Integration of Fry and Fractal Analyses in Regional Exploration: A case study from Bafq–Posht-e-Badam, Iran. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 35(35). 113–130. 4 indexed citations
17.
Tavakoli, Hamid Reza, et al.. (2010). Rapid, specific and concurrent detection of Listeria, Salmonella and Escherichia coli pathogens by multiplex PCR in Iranian food. African Journal of Microbiology Research. 4(23). 2503–2507. 3 indexed citations
18.
Najafi, Ali, et al.. (2009). Multiplex Reverse Transcription-PCR Assay for Detection of Type A Influenza Virus plus Differentiation of Avian H7 and H9 Hemagglutinin Subtypes in Iran. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Najafi, Ali, et al.. (2009). Assessment of Genetic Diversity in Some Iranian Populations of Bunium persicum Using RAPD and AFLP Markers. Iranian Journal of Biotechnology. 7(2). 93–100. 30 indexed citations
20.
Karami, Ali, et al.. (2006). Molecular Aspects of Hepatocellular Carcinoma Caused by Hepatitis C Virus. Hepatitis Monthly. 6(2). 75–82. 2 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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