Shahla Mansouri

102 total papers · 2.0k total citations
86 papers, 1.7k citations indexed

About

Shahla Mansouri is a scholar working on Molecular Medicine, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Shahla Mansouri has authored 86 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Medicine, 31 papers in Molecular Biology and 21 papers in Infectious Diseases. Recurrent topics in Shahla Mansouri's work include Antibiotic Resistance in Bacteria (36 papers), Bacterial biofilms and quorum sensing (22 papers) and Antimicrobial Resistance in Staphylococcus (14 papers). Shahla Mansouri is often cited by papers focused on Antibiotic Resistance in Bacteria (36 papers), Bacterial biofilms and quorum sensing (22 papers) and Antimicrobial Resistance in Staphylococcus (14 papers). Shahla Mansouri collaborates with scholars based in Iran, United Kingdom and United States. Shahla Mansouri's co-authors include Alireza Foroumadi, Fariba Sharififar, Mohammad Hassan Moshafi, Zahra Kiani, Davood Kalantar-Neyestanaki, Mohammad Moradi, Mohammad Reza Shakibaie, Omid Azizi, Zahra Hashemizadeh and Javid Sadeghi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Microbiology.

In The Last Decade

Shahla Mansouri

83 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shahla Mansouri 501 432 395 312 280 86 1.7k
Hassan A. Hemeg 565 1.1× 251 0.6× 404 1.0× 280 0.9× 131 0.5× 94 2.2k
Cláudio Galuppo Diniz 563 1.1× 278 0.6× 286 0.7× 138 0.4× 146 0.5× 95 1.8k
Donatella Usai 434 0.9× 194 0.4× 454 1.1× 273 0.9× 124 0.4× 54 1.5k
Morteza Saki 530 1.1× 440 1.0× 262 0.7× 145 0.5× 193 0.7× 84 1.8k
Anna Maria Schito 653 1.3× 234 0.5× 237 0.6× 155 0.5× 104 0.4× 76 1.8k
Fengjun Sun 987 2.0× 518 1.2× 192 0.5× 153 0.5× 348 1.2× 104 2.1k
Chien‐Fang Peng 500 1.0× 222 0.5× 146 0.4× 223 0.7× 122 0.4× 62 1.5k
Saad B. Almasaudi 557 1.1× 301 0.7× 496 1.3× 188 0.6× 143 0.5× 43 1.8k
Hafizah Y. Chenia 591 1.2× 446 1.0× 310 0.8× 272 0.9× 335 1.2× 66 1.7k
Dianella Savoia 476 1.0× 155 0.4× 356 0.9× 251 0.8× 118 0.4× 66 1.7k

Countries citing papers authored by Shahla Mansouri

Since Specialization
Citations

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

Fields of papers citing papers by Shahla Mansouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahla Mansouri

This figure shows the co-authorship network connecting the top 25 collaborators of Shahla Mansouri. A scholar is included among the top collaborators of Shahla Mansouri 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 Shahla Mansouri. Shahla Mansouri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026