Sara Mahshid

3.8k total citations
79 papers, 2.9k citations indexed

About

Sara Mahshid is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Sara Mahshid has authored 79 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Biomedical Engineering, 36 papers in Molecular Biology and 29 papers in Electrical and Electronic Engineering. Recurrent topics in Sara Mahshid's work include Advanced biosensing and bioanalysis techniques (28 papers), Biosensors and Analytical Detection (23 papers) and Electrochemical sensors and biosensors (21 papers). Sara Mahshid is often cited by papers focused on Advanced biosensing and bioanalysis techniques (28 papers), Biosensors and Analytical Detection (23 papers) and Electrochemical sensors and biosensors (21 papers). Sara Mahshid collaborates with scholars based in Canada, Iran and China. Sara Mahshid's co-authors include Sahar Sadat Mahshid, Masoud Askari, Mahsa Jalali, Morteza Sasani Ghamsari, Roozbeh Siavash Moakhar, Sebastian Wachsmann‐Hogiu, Juanjuan Liu, Abolghasem Dolati, Shenglian Luo and Lixia Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Sara Mahshid

77 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Mahshid Canada 29 1.1k 1.0k 924 831 539 79 2.9k
Saurabh Srivastava India 27 916 0.8× 790 0.8× 935 1.0× 613 0.7× 215 0.4× 75 2.2k
Hyun C. Yoon South Korea 37 1.5k 1.3× 1.6k 1.6× 1.7k 1.8× 1.6k 2.0× 728 1.4× 145 4.5k
Frank N. Crespilho Brazil 32 739 0.6× 1.0k 1.0× 1.9k 2.1× 676 0.8× 406 0.8× 143 3.4k
Anjum Qureshi Türkiye 31 1.2k 1.0× 901 0.9× 884 1.0× 844 1.0× 156 0.3× 98 2.7k
Byoung‐Yong Chang South Korea 23 926 0.8× 795 0.8× 1.2k 1.3× 669 0.8× 258 0.5× 50 2.9k
Wenjing Qi China 29 892 0.8× 1.7k 1.7× 1.4k 1.5× 1.5k 1.8× 765 1.4× 104 3.7k
Shuang Zhao China 30 666 0.6× 869 0.9× 803 0.9× 1.2k 1.4× 582 1.1× 84 2.4k
Nan Zhou China 29 895 0.8× 1.2k 1.2× 697 0.8× 1.2k 1.5× 219 0.4× 86 2.9k
Khairunisak Abdul Razak Malaysia 29 760 0.7× 371 0.4× 1.3k 1.4× 1.3k 1.5× 358 0.7× 189 2.8k
Amit L. Sharma India 28 923 0.8× 511 0.5× 1.1k 1.2× 1.2k 1.4× 145 0.3× 91 2.9k

Countries citing papers authored by Sara Mahshid

Since Specialization
Citations

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

Fields of papers citing papers by Sara Mahshid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Mahshid

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Mahshid. A scholar is included among the top collaborators of Sara Mahshid 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 Mahshid. Sara Mahshid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jalali, Mahsa, et al.. (2025). Nanoscopic technologies toward molecular profiling of single extracellular vesicles for cancer liquid biopsy. Applied Physics Reviews. 12(1). 5 indexed citations
2.
Mahshid, Sahar Sadat, et al.. (2025). A nucleic acid detection device for rapid multiplexed molecular disease diagnostics. Nature Reviews Bioengineering. 3(3). 187–189. 2 indexed citations
3.
Lü, Yao, Mahsa Jalali, Maryam Khatami, et al.. (2025). Evaluation of machine learning and deep learning models for the classification of a single extracellular vesicles spectral library. Sensors & Diagnostics. 4(10). 869–883. 1 indexed citations
4.
Moakhar, Roozbeh Siavash, et al.. (2024). A reagentless molecularly imprinted polymer-based electrochemical biosensor for single-step detection of troponin I in biofluids. The Analyst. 149(15). 4020–4028. 5 indexed citations
5.
Jalali, Mahsa, et al.. (2024). AI‐Assisted Plasmonic Enhanced Colorimetric Fluidic Device for Hydrogen Peroxide Detection from Cancer Cells. Advanced Materials Technologies. 10(2). 2 indexed citations
6.
Hosseini, Imman I., et al.. (2024). Tunable nanofluidic device for digital nucleic acid analysis. Nanoscale. 16(19). 9583–9592.
7.
Moakhar, Roozbeh Siavash, et al.. (2024). Photoelectrochemical sensing of titanium oxide nanostructures for the detection of glucose: Fabrication methods and signal enhancement strategies. Microchemical Journal. 201. 110528–110528. 20 indexed citations
8.
AbdElFatah, Tamer, et al.. (2023). Support Vector Machine for Color Classification of RNA. 2 indexed citations
9.
Hosseini, Imman I., et al.. (2023). Additive manufacturing leveraged microfluidic setup for sample to answer colorimetric detection of pathogens. Lab on a Chip. 23(18). 4134–4145. 4 indexed citations
10.
Huo, Ran, Guangyu Bao, Zixin He, et al.. (2023). Tough Transient Ionic Junctions Printed with Ionic Microgels. Advanced Functional Materials. 33(20). 22 indexed citations
11.
Moakhar, Roozbeh Siavash, et al.. (2023). Microfluidic-based colorimetric nucleic acid detection of pathogens. Sensors & Diagnostics. 2(4). 763–780. 7 indexed citations
12.
Jalali, Mahsa, et al.. (2022). Nanostructured‐Based Optical Readouts Interfaced with Machine Learning for Identification of Extracellular Vesicles. Advanced Healthcare Materials. 12(5). e2202123–e2202123. 21 indexed citations
13.
Yeung, Kan Kan, Jingwei Li, Ting Huang, et al.. (2022). Utilizing Gradient Porous Graphene Substrate as the Solid-Contact Layer To Enhance Wearable Electrochemical Sweat Sensor Sensitivity. Nano Letters. 22(16). 6647–6654. 25 indexed citations
14.
Moakhar, Roozbeh Siavash, et al.. (2022). Advances in the Translation of Electrochemical Hydrogel‐Based Sensors. Advanced Healthcare Materials. 12(1). e2201501–e2201501. 48 indexed citations
15.
Hosseini, Imman I., Tamer AbdElFatah, Laura Montermini, et al.. (2021). Nanofluidics for Simultaneous Size and Charge Profiling of Extracellular Vesicles. Nano Letters. 21(12). 4895–4902. 17 indexed citations
16.
Moakhar, Roozbeh Siavash, et al.. (2021). A nanostructured microfluidic device for plasmon-assisted electrochemical detection of hydrogen peroxide released from cancer cells. Nanoscale. 13(34). 14316–14329. 36 indexed citations
17.
Moakhar, Roozbeh Siavash, Tamer AbdElFatah, Alireza Sanati, et al.. (2020). A Nanostructured Gold/Graphene Microfluidic Device for Direct and Plasmonic-Assisted Impedimetric Detection of Bacteria. ACS Applied Materials & Interfaces. 12(20). 23298–23310. 56 indexed citations
18.
19.
Jalali, Mahsa, Imman I. Hosseini, Tamer AbdElFatah, et al.. (2020). Plasmonic nanobowtiefluidic device for sensitive detection of glioma extracellular vesicles by Raman spectrometry. Lab on a Chip. 21(5). 855–866. 57 indexed citations
20.
Sanati, Alireza, Mahsa Jalali, K. Raeissi, et al.. (2019). A review on recent advancements in electrochemical biosensing using carbonaceous nanomaterials. Microchimica Acta. 186(12). 773–773. 118 indexed citations

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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