Milad Shamsi

512 total citations
8 papers, 404 citations indexed

About

Milad Shamsi is a scholar working on Biomedical Engineering, Oncology and Biomaterials. According to data from OpenAlex, Milad Shamsi has authored 8 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Oncology and 3 papers in Biomaterials. Recurrent topics in Milad Shamsi's work include Nanoparticle-Based Drug Delivery (3 papers), Cancer Cells and Metastasis (3 papers) and Mathematical Biology Tumor Growth (2 papers). Milad Shamsi is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Cancer Cells and Metastasis (3 papers) and Mathematical Biology Tumor Growth (2 papers). Milad Shamsi collaborates with scholars based in Iran, Canada and United States. Milad Shamsi's co-authors include Amir Sanati‐Nezhad, Morteza Dejam, Mehdi Mohammadi, Mohammad K. D. Manshadi, Mohsen Saghafian, Reza Kamali, Amir H. Mohammadi, Hassan Pezeshgi Modarres, A. A. Mohamad and Keivan Majidzadeh‐A and has published in prestigious journals such as Scientific Reports, Journal of Controlled Release and Biotechnology Advances.

In The Last Decade

Milad Shamsi

8 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Milad Shamsi Iran	8	252	135	87	55	50	8	404
Eveline Schreiber Germany	15	353 1.4×	331 2.5×	72 0.8×	42 0.8×	20 0.4×	28	591
Miljan Milošević Serbia	15	347 1.4×	227 1.7×	92 1.1×	19 0.3×	25 0.5×	59	671
Kathryn M. Camacho United States	6	224 0.9×	113 0.8×	87 1.0×	41 0.7×	54 1.1×	7	383
Stephan Dürr Germany	8	327 1.3×	300 2.2×	91 1.0×	33 0.6×	16 0.3×	11	644
Leon D. Li United States	5	589 2.3×	22 0.2×	90 1.0×	115 2.1×	32 0.6×	6	745
Sarah Fredriksson Sweden	10	233 0.9×	97 0.7×	88 1.0×	53 1.0×	4 0.1×	17	429
Kerwin Kwek Zeming Singapore	13	827 3.3×	26 0.2×	169 1.9×	265 4.8×	49 1.0×	19	988
Frederik Soetaert Belgium	3	280 1.1×	194 1.4×	68 0.8×	20 0.4×	10 0.2×	6	396
Elyahb Allie Kwizera United States	13	411 1.6×	118 0.9×	340 3.9×	53 1.0×	7 0.1×	15	746
Allan R. Foreman United States	6	322 1.3×	265 2.0×	79 0.9×	21 0.4×	14 0.3×	7	470

Countries citing papers authored by Milad Shamsi

Since Specialization

Citations

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

Fields of papers citing papers by Milad Shamsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milad Shamsi

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

All Works

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8 of 8 papers shown

1.

Rahmanian, Mehdi, Amir Seyfoori, Milad Shamsi, et al.. (2021). In-vitro tumor microenvironment models containing physical and biological barriers for modelling multidrug resistance mechanisms and multidrug delivery strategies. Journal of Controlled Release. 334. 164–177. 34 indexed citations

2.

Shamsi, Milad, Amir H. Mohammadi, Mohammad K. D. Manshadi, & Amir Sanati‐Nezhad. (2019). Mathematical and computational modeling of nano-engineered drug delivery systems. Journal of Controlled Release. 307. 150–165. 62 indexed citations

3.

Manshadi, Mohammad K. D., et al.. (2019). Magnetic aerosol drug targeting in lung cancer therapy using permanent magnet. Drug Delivery. 26(1). 120–128. 36 indexed citations

4.

Shamsi, Milad, Hassan Pezeshgi Modarres, Karolina Papera Valente, et al.. (2018). Translational models of tumor angiogenesis: A nexus of in silico and in vitro models. Biotechnology Advances. 36(4). 880–893. 34 indexed citations

5.

Shamsi, Milad, Mohsen Saghafian, Morteza Dejam, & Amir Sanati‐Nezhad. (2018). Mathematical Modeling of the Function of Warburg Effect in Tumor Microenvironment. Scientific Reports. 8(1). 8903–8903. 47 indexed citations

6.

Manshadi, Mohammad K. D., Mehdi Mohammadi, Milad Shamsi, et al.. (2018). Delivery of magnetic micro/nanoparticles and magnetic-based drug/cargo into arterial flow for targeted therapy. Drug Delivery. 25(1). 1963–1973. 95 indexed citations

7.

Shamsi, Milad, et al.. (2018). Magnetically assisted intraperitoneal drug delivery for cancer chemotherapy. Drug Delivery. 25(1). 846–861. 69 indexed citations

8.

Dejam, Morteza, et al.. (2018). Electrohydrodynamic formation of single and double emulsions for low interfacial tension multiphase systems within microfluidics. Chemical Engineering Science. 195. 201–207. 27 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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