Neda Akbari

53 papers receiving 686 citations

Peers

Neda Akbari
Comparison fields: 5 of 118
  • Molecular Medicine 111
  • Applied Microbiology and Biotechnology 27
  • Endocrinology 49
  • Biotechnology 58
  • Pollution 53
Replace Fatemeh Nouri with:
Fatemeh Nouri Iran
S. Karthikeyan India
Jogender Singh Rana India
Abdullah A. Alyousef Saudi Arabia
Jiachi Chiou Hong Kong
Xiaoxiao Zhang China
Kasi Murugan India
Yonghui Zhang China
Paulina L. Páez Argentina
Pallee Shree India
Neda Akbari relative to Fatemeh Nouri Iran Fatemeh Nouri's profile →
Citations per field
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Citations per year

Countries citing papers authored by Neda Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Neda Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neda Akbari, 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 Neda Akbari Line = papers co-authored together Neda Akbari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Isolation and genetic characterization of metallo-β-lactamase and carbapenamase producing strains of Acinetobacter baumannii from patients at Tehran hospitals.
201192
2 201654
3 202042
4 201932
5 200931
6 201328
7 201426
8 201325
9 201124
10 201822
11 200921
12 201521
13 201021
14 201320
15 202219
16 201116
17 202215
18
The Frequency of Multidrug-Resistance and Extensively Drug-Resistant Acinetobacter Baumannii in West of Iran
201814
19 201614
20 201614

About Neda Akbari

Neda Akbari is a scholar working on Molecular Biology, Biotechnology, Plant Science, Biomedical Engineering and Food Science, having authored 57 papers that have together received 698 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (7 papers), Transgenic Plants and Applications (4 papers), Antibiotic Resistance in Bacteria (4 papers), Electrochemical sensors and biosensors (3 papers), Nanoplatforms for cancer theranostics (3 papers), Bacterial biofilms and quorum sensing (3 papers), Cancer Research and Treatments (3 papers) and Medical and Biological Ozone Research (3 papers). The work is most often cited by research in Molecular Medicine (111 citations), Applied Microbiology and Biotechnology (27 citations), Endocrinology (49 citations), Biotechnology (58 citations) and Pollution (53 citations). Neda Akbari has collaborated with scholars based in Iran, China and United Kingdom. Frequent co-authors include Khosro Khajeh, N. Sattarahmady, Gholamhossein Tondro, Fereshteh Shahcheraghi, Parvaneh Jafari, Davoud Biria, Nasser Ghaemi, Bijan Ranjbar, Seyed Javad Ahmadi and Mohammad Hossein Mashhadizadeh. Their work appears in journals such as Protein Expression and Purification, International Journal of Biological Macromolecules, Enzyme and Microbial Technology, IET Nanobiotechnology and Scientific Reports.

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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