Saeed Siavashy

545 total citations
8 papers, 389 citations indexed

About

Saeed Siavashy is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Saeed Siavashy has authored 8 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 2 papers in Molecular Biology and 2 papers in Biomaterials. Recurrent topics in Saeed Siavashy's work include Microfluidic and Capillary Electrophoresis Applications (4 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Saeed Siavashy is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (4 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Saeed Siavashy collaborates with scholars based in Iran, Canada and United States. Saeed Siavashy's co-authors include Fatemeh Ghorbani‐Bidkorbeh, Elham Asadian, M. Soltani, Mahnaz Ahmadi, Seyed Mohammad Ayyoubzadeh, Kaamran Raahemifar, Simin Dadashzadeh, Soraya Shahhosseini, Rüstem Keçili and Chaudhery Mustansar Hussain and has published in prestigious journals such as Small, Carbohydrate Polymers and TrAC Trends in Analytical Chemistry.

In The Last Decade

Saeed Siavashy

8 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saeed Siavashy Iran 8 208 92 86 72 52 8 389
Fateme Sadat Qazi Iran 6 87 0.4× 58 0.6× 90 1.0× 47 0.7× 71 1.4× 8 263
Francesca Melle United Kingdom 8 175 0.8× 152 1.7× 143 1.7× 73 1.0× 71 1.4× 10 374
Tamara Lozano‐Fernández Spain 9 85 0.4× 116 1.3× 169 2.0× 40 0.6× 67 1.3× 15 346
Ya. M. Stanishevskiy Russia 10 104 0.5× 46 0.5× 105 1.2× 52 0.7× 79 1.5× 28 322
Mahdi Saeidirad Iran 10 88 0.4× 60 0.7× 120 1.4× 59 0.8× 76 1.5× 13 369
Ioanna-Aglaia Vagena Greece 7 76 0.4× 54 0.6× 115 1.3× 28 0.4× 32 0.6× 8 266
Lei Ge China 7 258 1.2× 111 1.2× 252 2.9× 75 1.0× 109 2.1× 11 511
Da Zou Australia 13 203 1.0× 54 0.6× 126 1.5× 129 1.8× 158 3.0× 18 524
Pengfei Guo China 12 132 0.6× 30 0.3× 100 1.2× 106 1.5× 57 1.1× 25 344
Alireza Lotfabadi Iran 8 149 0.7× 69 0.8× 106 1.2× 82 1.1× 150 2.9× 12 347

Countries citing papers authored by Saeed Siavashy

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Siavashy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Siavashy

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

All Works

8 of 8 papers shown
1.
Asadian, Elham, Saeed Siavashy, Sara Movahedi, et al.. (2024). A review on recent advances of AI-integrated microfluidics for analytical and bioanalytical applications. TrAC Trends in Analytical Chemistry. 181. 118004–118004. 19 indexed citations
2.
Siavashy, Saeed, et al.. (2024). Recent advancements in microfluidic-based biosensors for detection of genes and proteins: Applications and techniques. Biosensors and Bioelectronics X. 19. 100489–100489. 32 indexed citations
3.
Siavashy, Saeed, et al.. (2022). Artificial intelligence-based microfluidic platforms for the sensitive detection of environmental pollutants: Recent advances and prospects. Trends in Environmental Analytical Chemistry. 34. e00160–e00160. 73 indexed citations
4.
Soltani, M., et al.. (2022). Recent Advances of Utilizing Artificial Intelligence in Lab on a Chip for Diagnosis and Treatment. Small. 18(42). e2203169–e2203169. 49 indexed citations
5.
6.
Siavashy, Saeed, M. Soltani, Fatemeh Ghorbani‐Bidkorbeh, et al.. (2021). Microfluidic platform for synthesis and optimization of chitosan-coated magnetic nanoparticles in cisplatin delivery. Carbohydrate Polymers. 265. 118027–118027. 56 indexed citations
7.
Ahmadi, Mahnaz, Seyed Mohammad Ayyoubzadeh, Fatemeh Ghorbani‐Bidkorbeh, et al.. (2021). An investigation of affecting factors on MOF characteristics for biomedical applications: A systematic review. Heliyon. 7(4). e06914–e06914. 127 indexed citations
8.
Ahmadi, Mahnaz, Saeed Siavashy, Seyed Mohammad Ayyoubzadeh, Rüstem Keçili, & Fatemeh Ghorbani‐Bidkorbeh. (2021). Controllable Synthesis of Polymeric Micelles by Microfluidic Platforms for Biomedical Applications: A Systematic Review.. PubMed. 20(2). 229–240. 13 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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