Mahsa Bagheri

69 total papers · 1.1k total citations
51 papers, 805 citations indexed

About

Mahsa Bagheri is a scholar working on Rehabilitation, Molecular Biology and Epidemiology. According to data from OpenAlex, Mahsa Bagheri has authored 51 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Rehabilitation, 10 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Mahsa Bagheri's work include Wound Healing and Treatments (11 papers), Burn Injury Management and Outcomes (10 papers) and Nanoparticle-Based Drug Delivery (7 papers). Mahsa Bagheri is often cited by papers focused on Wound Healing and Treatments (11 papers), Burn Injury Management and Outcomes (10 papers) and Nanoparticle-Based Drug Delivery (7 papers). Mahsa Bagheri collaborates with scholars based in Germany, Iran and Netherlands. Mahsa Bagheri's co-authors include Saeid Azizian, Karen Scrivener, Barbara Lothenbach, Hakimeh Mansouri, Bahram Baninasab, Mahdiyeh Gholami, Wim E. Hennink, Cornelus F. van Nostrum, Mohammad H. Eikani and Seid Mahdi Jafari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Langmuir.

In The Last Decade

Mahsa Bagheri

47 papers receiving 788 citations

Author Peers

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

Author Last Decade Papers Cites
Mahsa Bagheri 174 170 138 126 120 51 805
Meriem Elkolli 97 0.6× 240 1.4× 66 0.5× 143 1.1× 110 0.9× 48 911
Taher A. Salaheldin 151 0.9× 182 1.1× 98 0.7× 367 2.9× 276 2.3× 45 998
Anna Olejnik 134 0.8× 137 0.8× 93 0.7× 283 2.2× 131 1.1× 50 929
Aboulfazl Barati 114 0.7× 342 2.0× 64 0.5× 221 1.8× 271 2.3× 47 901
Bojan Čalija 72 0.4× 181 1.1× 72 0.5× 74 0.6× 72 0.6× 37 751
Cristina Lavinia Nistor 111 0.6× 239 1.4× 61 0.4× 259 2.1× 202 1.7× 63 914
Bohui Xu 94 0.5× 240 1.4× 285 2.1× 108 0.9× 186 1.6× 49 979
Wenwen Wang 87 0.5× 90 0.5× 115 0.8× 133 1.1× 204 1.7× 73 1.0k
Cristian Petcu 187 1.1× 171 1.0× 50 0.4× 321 2.5× 197 1.6× 78 968
Wen Qin 117 0.7× 374 2.2× 105 0.8× 309 2.5× 165 1.4× 41 1.0k

Countries citing papers authored by Mahsa Bagheri

Since Specialization
Citations

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

Fields of papers citing papers by Mahsa Bagheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahsa Bagheri

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