Saeideh Saadat

55 total papers · 1.2k total citations
44 papers, 826 citations indexed

About

Saeideh Saadat is a scholar working on Complementary and alternative medicine, Molecular Biology and Pharmacology. According to data from OpenAlex, Saeideh Saadat has authored 44 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Complementary and alternative medicine, 10 papers in Molecular Biology and 10 papers in Pharmacology. Recurrent topics in Saeideh Saadat's work include Nigella sativa pharmacological applications (7 papers), Asthma and respiratory diseases (5 papers) and Saffron Plant Research Studies (4 papers). Saeideh Saadat is often cited by papers focused on Nigella sativa pharmacological applications (7 papers), Asthma and respiratory diseases (5 papers) and Saffron Plant Research Studies (4 papers). Saeideh Saadat collaborates with scholars based in Iran, Netherlands and China. Saeideh Saadat's co-authors include Mohammad Hossein Boskabady, Mohammad Hossein Boskabady, Arghavan Memarzia, Mohammad Reza Khazdair, Zahra Gholamnezhad, Nema Mohamadian Roshan, ‬Rana Keyhanmanesh, Mohammad Reza Aslani, Mahmoud Hosseini and Maryam Fallahi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Journal of Ethnopharmacology.

In The Last Decade

Saeideh Saadat

44 papers receiving 811 citations

Author Peers

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

Author Last Decade Papers Cites
Saeideh Saadat 238 180 146 127 126 44 826
Lingying Yu 344 1.4× 106 0.6× 160 1.1× 96 0.8× 241 1.9× 29 962
Nema Mohamadian Roshan 196 0.8× 174 1.0× 112 0.8× 71 0.6× 37 0.3× 67 820
M.V. Venkataranganna 233 1.0× 134 0.7× 231 1.6× 56 0.4× 75 0.6× 42 808
Vahideh Ghorani 226 0.9× 181 1.0× 163 1.1× 138 1.1× 29 0.2× 39 956
Ying Li 466 2.0× 145 0.8× 113 0.8× 44 0.3× 55 0.4× 42 931
Rekha R. Shenoy 235 1.0× 106 0.6× 72 0.5× 60 0.5× 53 0.4× 57 919
Bum‐Sang Shim 441 1.9× 161 0.9× 122 0.8× 68 0.5× 90 0.7× 39 919
Rosa Direito 241 1.0× 123 0.7× 62 0.4× 184 1.4× 60 0.5× 48 886
Hongxun Tao 497 2.1× 122 0.7× 193 1.3× 75 0.6× 56 0.4× 34 859
Kalpesh R. Patil 340 1.4× 157 0.9× 138 0.9× 80 0.6× 24 0.2× 32 1.0k

Countries citing papers authored by Saeideh Saadat

Since Specialization
Citations

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

Fields of papers citing papers by Saeideh Saadat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeideh Saadat

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