Shima Afrasiabi

47 total papers · 553 total citations
38 papers, 379 citations indexed

About

Shima Afrasiabi is a scholar working on Pulmonary and Respiratory Medicine, Periodontics and Biomedical Engineering. According to data from OpenAlex, Shima Afrasiabi has authored 38 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 15 papers in Periodontics and 11 papers in Biomedical Engineering. Recurrent topics in Shima Afrasiabi's work include Photodynamic Therapy Research Studies (17 papers), Oral microbiology and periodontitis research (15 papers) and Nanoplatforms for cancer theranostics (10 papers). Shima Afrasiabi is often cited by papers focused on Photodynamic Therapy Research Studies (17 papers), Oral microbiology and periodontitis research (15 papers) and Nanoplatforms for cancer theranostics (10 papers). Shima Afrasiabi collaborates with scholars based in Iran, Italy and Russia. Shima Afrasiabi's co-authors include Nasim Chiniforush, Abbas Bahador, Maryam Pourhajibagher, Alireza Partoazar, Reza Raoofian, Maryam Tabarzad, Ramin Goudarzi, Stefano Benedicenti, Antonio Signore and Mansooreh Samimi and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and Applied Sciences.

In The Last Decade

Shima Afrasiabi

34 papers receiving 376 citations

Author Peers

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

Author						Papers	Cites
Shima Afrasiabi	122	112	100	86	49	38	379
Luciano Pereira Rosa	167 1.4×	256 2.3×	52 0.5×	49 0.6×	31 0.6×	33	423
Maíra Terra Garcia	96 0.8×	107 1.0×	60 0.6×	75 0.9×	62 1.3×	35	353
Francine Cristina da Silva	120 1.0×	198 1.8×	50 0.5×	66 0.8×	24 0.5×	20	421
Hanie Ahmadi	96 0.8×	46 0.4×	57 0.6×	16 0.2×	54 1.1×	25	354
J Nowicka	43 0.4×	28 0.3×	85 0.8×	43 0.5×	29 0.6×	49	375
Mateusz Cieśluk	103 0.8×	28 0.3×	135 1.4×	29 0.3×	42 0.9×	22	401
L. B. QUESNEL	44 0.4×	61 0.5×	106 1.1×	35 0.4×	9 0.2×	23	384
Fatemeh Lavaee	58 0.5×	85 0.8×	24 0.2×	118 1.4×	26 0.5×	56	374
Jelly Atema‐Smit	53 0.4×	27 0.2×	105 1.1×	111 1.3×	14 0.3×	16	343
Emily Correna Carlo Reis	138 1.1×	61 0.5×	50 0.5×	38 0.4×	15 0.3×	56	397

Countries citing papers authored by Shima Afrasiabi

Since Specialization

Citations

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

Fields of papers citing papers by Shima Afrasiabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shima Afrasiabi

This figure shows the co-authorship network connecting the top 25 collaborators of Shima Afrasiabi. A scholar is included among the top collaborators of Shima Afrasiabi 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 Shima Afrasiabi. Shima Afrasiabi 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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