Mahsa Rasekhian

29 total papers · 762 total citations
21 papers, 545 citations indexed

About

Mahsa Rasekhian is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Mahsa Rasekhian has authored 21 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Genetics. Recurrent topics in Mahsa Rasekhian's work include RNA and protein synthesis mechanisms (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Computational Drug Discovery Methods (2 papers). Mahsa Rasekhian is often cited by papers focused on RNA and protein synthesis mechanisms (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Computational Drug Discovery Methods (2 papers). Mahsa Rasekhian collaborates with scholars based in Iran, Spain and United States. Mahsa Rasekhian's co-authors include Seyed Mohammad Nabavi, A. Sanches‐Silva, Seyed Fazel Nabavi, Antonio García‐Ríos, Davide Barreca, Angela Arnone, İpek Süntar, Roberto Raciti, Giuseppe Annunziata and Gian Carlo Tenore and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biotechnology Advances.

In The Last Decade

Mahsa Rasekhian

20 papers receiving 538 citations

Author Peers

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

Author						Papers	Cites
Mahsa Rasekhian	233	125	108	67	51	21	545
Dahyun Hwang	209 0.9×	113 0.9×	65 0.6×	74 1.1×	107 2.1×	25	526
Feng-Yao Tang	250 1.1×	101 0.8×	65 0.6×	22 0.3×	27 0.5×	15	564
Hussain Mustatab Wahedi	131 0.6×	90 0.7×	34 0.3×	42 0.6×	38 0.7×	16	519
Yewei Huang	165 0.7×	142 1.1×	41 0.4×	23 0.3×	92 1.8×	26	593
R. Ennamany	241 1.0×	129 1.0×	30 0.3×	51 0.8×	19 0.4×	17	527
Natividad Sebastià	113 0.5×	124 1.0×	28 0.3×	43 0.6×	94 1.8×	24	471
Xiang Lan Piao	284 1.2×	204 1.6×	37 0.3×	34 0.5×	84 1.6×	19	599
Lei Liu	170 0.7×	202 1.6×	21 0.2×	66 1.0×	51 1.0×	31	554
Obiang-Obounou Brice	190 0.8×	97 0.8×	64 0.6×	17 0.3×	95 1.9×	12	474
Laura Musumeci	179 0.8×	149 1.2×	48 0.4×	34 0.5×	119 2.3×	17	523

Countries citing papers authored by Mahsa Rasekhian

Since Specialization

Citations

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

Fields of papers citing papers by Mahsa Rasekhian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahsa Rasekhian

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