Ali Afgar

658 citations
60 papers · 472 · h-index 13

Impact in

    • Parasitic Infections and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Ali Afgar

57 papers receiving 470 citations

Peers

Ali Afgar
Comparison fields: 5 of 86
  • Parasitology 83
  • Cancer Research 99
  • Pathology and Forensic Medicine 91
  • Public Health, Environmental and Occupational Health 101
  • Molecular Medicine 15
Replace Luciana Maria Silva with:
Luciana Maria Silva Brazil
Parul Mehra India
Armanda Rodrigues Portugal
Abhisek Ghosal United States
Phuong Tran Australia
Hélène Authier France
Leonardo Marques da Fonseca Brazil
Martha-Eugenia Ruiz‐Tachiquín Mexico
Meng-Ti Hsieh Taiwan
Darya A. Haas Germany
Ali Afgar relative to Luciana Maria Silva Brazil Luciana Maria Silva's profile →
Citations per field
00.5×
Luciana Maria Silva · 1×
Citations per year

Countries citing papers authored by Ali Afgar

Since Specialization
Citations

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

Fields of papers citing papers by Ali Afgar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ali Afgar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali Afgar Line = papers co-authored together Ali Afgar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201845
2 201641
3 201840
4 201725
5 202224
6 201716
7 201816
8 202215
9 201915
10 201814
11 201914
12 202313
13 201913
14 202212
15 201811
16 201810
17 20209
18 20209
19 20218
20 20218

About Ali Afgar

Ali Afgar is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Parasitology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 60 papers that have together received 472 indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (11 papers), Parasitic Infections and Diagnostics (10 papers), MicroRNA in disease regulation (10 papers), Research on Leishmaniasis Studies (9 papers), Congenital Anomalies and Fetal Surgery (9 papers), Epigenetics and DNA Methylation (6 papers), Cancer-related molecular mechanisms research (5 papers) and vaccines and immunoinformatics approaches (4 papers). The work is most often cited by research in Parasitology (83 citations), Cancer Research (99 citations), Pathology and Forensic Medicine (91 citations), Public Health, Environmental and Occupational Health (101 citations) and Molecular Medicine (15 citations). Ali Afgar has collaborated with scholars based in Iran, Argentina and Nigeria. Frequent co-authors include Ladan Teimoori‐Toolabi, Mohammad Ali Mohammadi, Iraj Sharifi, Majid Fasihi Harandi, Fatemeh Sharifi, Seyed Mohammad Mousavi, Rezvan Najafi, Reza Yadegarazari, Mehdi Bamorovat and Razieh Tavakoli Oliaee. Their work appears in journals such as Scientific Reports, BMC Complementary Medicine and Therapies, Experimental Parasitology, Frontiers in Veterinary Science and Heliyon.

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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