Sara Abbasian

47 total papers · 818 total citations
38 papers, 646 citations indexed

About

Sara Abbasian is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Sara Abbasian has authored 38 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Electrical and Electronic Engineering and 12 papers in Biomedical Engineering. Recurrent topics in Sara Abbasian's work include Advanced biosensing and bioanalysis techniques (10 papers), Electrochemical sensors and biosensors (9 papers) and Gold and Silver Nanoparticles Synthesis and Applications (8 papers). Sara Abbasian is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), Electrochemical sensors and biosensors (9 papers) and Gold and Silver Nanoparticles Synthesis and Applications (8 papers). Sara Abbasian collaborates with scholars based in Iran, Iraq and Germany. Sara Abbasian's co-authors include Ahmad Moshaii, Maryam Nikkhah, Ebrahim Kouhsari, Abed Zahedi Bialvaei, Mansour Sedighi, Parviz Norouzi, Zahra Ghafouri, Hossein Naderi‐Manesh, Nima Mohammadzadeh and Seyed Nezamedin Hosseini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Analytical Biochemistry.

In The Last Decade

Sara Abbasian

37 papers receiving 635 citations

Author Peers

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

Author Last Decade Papers Cites
Sara Abbasian 275 224 200 130 116 38 646
Guillaume Anquetin 417 1.5× 180 0.8× 200 1.0× 80 0.6× 28 0.2× 28 738
Amid Rahi 287 1.0× 219 1.0× 174 0.9× 183 1.4× 63 0.5× 22 655
Xianxue Gan 546 2.0× 300 1.3× 228 1.1× 156 1.2× 28 0.2× 24 714
Diana Bogdan 289 1.1× 223 1.0× 273 1.4× 131 1.0× 47 0.4× 45 685
Tomás E. Benavidez 311 1.1× 365 1.6× 286 1.4× 133 1.0× 29 0.3× 27 707
Alireza Sanati 255 0.9× 284 1.3× 184 0.9× 143 1.1× 26 0.2× 27 591
Shixing Chen 301 1.1× 253 1.1× 89 0.4× 104 0.8× 90 0.8× 33 569
Shuxia Zhang 259 0.9× 100 0.4× 216 1.1× 191 1.5× 166 1.4× 30 767
Faezeh Ghorbanizamani 313 1.1× 343 1.5× 119 0.6× 138 1.1× 17 0.1× 49 711
Ying Lu 531 1.9× 290 1.3× 178 0.9× 150 1.2× 35 0.3× 42 744

Countries citing papers authored by Sara Abbasian

Since Specialization
Citations

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

Fields of papers citing papers by Sara Abbasian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Abbasian

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