Mandana Amiri

132 total papers · 3.5k total citations
96 papers, 2.9k citations indexed

About

Mandana Amiri is a scholar working on Electrical and Electronic Engineering, Electrochemistry and Bioengineering. According to data from OpenAlex, Mandana Amiri has authored 96 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 40 papers in Electrochemistry and 21 papers in Bioengineering. Recurrent topics in Mandana Amiri's work include Electrochemical Analysis and Applications (40 papers), Electrochemical sensors and biosensors (38 papers) and Analytical Chemistry and Sensors (21 papers). Mandana Amiri is often cited by papers focused on Electrochemical Analysis and Applications (40 papers), Electrochemical sensors and biosensors (38 papers) and Analytical Chemistry and Sensors (21 papers). Mandana Amiri collaborates with scholars based in Iran, France and Germany. Mandana Amiri's co-authors include Abolfazl Bezaatpour, Frank Marken, Sabine Szunerits, Rabah Boukherroub, Saeed Shahrokhian, Mika Sillanpää, Lorena Griparić, Alexander M. van der Bliek, Shilpa Gandre-Babbe and Khadijeh Nekoueian and has published in prestigious journals such as Chemical Society Reviews, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Mandana Amiri

92 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
Mandana Amiri 1.1k 1.0k 750 666 473 96 2.9k
Masato Tominaga 1.4k 1.2× 656 0.6× 991 1.3× 392 0.6× 233 0.5× 122 3.2k
Haijuan Li 1.6k 1.5× 2.2k 2.1× 1.3k 1.7× 1.5k 2.2× 1.4k 3.0× 128 4.7k
Wakako Tsugawa 1.4k 1.2× 1.1k 1.1× 542 0.7× 225 0.3× 408 0.9× 111 2.4k
Scott Banta 920 0.8× 2.2k 2.2× 456 0.6× 592 0.9× 886 1.9× 135 3.9k
Xin Yao 1.6k 1.4× 1.4k 1.4× 675 0.9× 1.7k 2.5× 708 1.5× 109 4.2k
Pierre Labbé 573 0.5× 1.4k 1.4× 351 0.5× 345 0.5× 220 0.5× 89 2.5k
Tomohiko Yamazaki 741 0.7× 679 0.7× 294 0.4× 476 0.7× 588 1.2× 96 2.1k
Howard H. Weetall 960 0.9× 2.0k 1.9× 289 0.4× 500 0.8× 942 2.0× 125 3.7k
Zhiai Xu 1.2k 1.1× 2.1k 2.1× 713 1.0× 1.3k 1.9× 2.2k 4.7× 133 5.3k
Waleed A. El‐Said 988 0.9× 732 0.7× 531 0.7× 795 1.2× 865 1.8× 119 2.8k

Countries citing papers authored by Mandana Amiri

Since Specialization
Citations

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

Fields of papers citing papers by Mandana Amiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mandana Amiri

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