Ehsan Motamedian

526 total citations
38 papers, 370 citations indexed

About

Ehsan Motamedian is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Ehsan Motamedian has authored 38 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Biomedical Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Ehsan Motamedian's work include Microbial Metabolic Engineering and Bioproduction (29 papers), Biofuel production and bioconversion (12 papers) and Gene Regulatory Network Analysis (7 papers). Ehsan Motamedian is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (29 papers), Biofuel production and bioconversion (12 papers) and Gene Regulatory Network Analysis (7 papers). Ehsan Motamedian collaborates with scholars based in Iran, Denmark and United States. Ehsan Motamedian's co-authors include Seyed Abbas Shojaosadati, Fereshteh Naeimpoor, Fatemeh Bagheri, Sameereh Hashemi‐Najafabadi, Oveis Jamialahmadi, Soroush Sardari, Stefano Romeo, Mohammad Mahdi Mardanpour, Mohsen Nosrati and Vahab Jafarian and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Ehsan Motamedian

36 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehsan Motamedian Iran 12 262 138 35 25 21 38 370
William B. Armiger United States 11 181 0.7× 134 1.0× 42 1.2× 13 0.5× 9 0.4× 16 368
К. Н. Сорокина Russia 13 238 0.9× 209 1.5× 223 6.4× 40 1.6× 16 0.8× 45 553
Jiali Yu United States 12 201 0.8× 54 0.4× 21 0.6× 18 0.7× 11 0.5× 35 523
Miaomiao Wang China 11 94 0.4× 119 0.9× 17 0.5× 45 1.8× 11 0.5× 29 303
Werner Zang Germany 5 265 1.0× 166 1.2× 23 0.7× 9 0.4× 18 0.9× 6 354
Yuhan Jin China 12 250 1.0× 132 1.0× 74 2.1× 7 0.3× 5 0.2× 30 418
Kevin Yin Denmark 2 109 0.4× 151 1.1× 44 1.3× 22 0.9× 7 0.3× 2 254
Tim McCubbin Australia 9 277 1.1× 134 1.0× 10 0.3× 10 0.4× 7 0.3× 18 429
Wenzhao Wu United States 9 120 0.5× 131 0.9× 32 0.9× 30 1.2× 90 4.3× 15 314
Yujia Lu China 12 178 0.7× 54 0.4× 52 1.5× 33 1.3× 5 0.2× 31 450

Countries citing papers authored by Ehsan Motamedian

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Motamedian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Motamedian

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Motamedian. A scholar is included among the top collaborators of Ehsan Motamedian 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 Ehsan Motamedian. Ehsan Motamedian 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.
Bagheri, Fatemeh, et al.. (2025). Combination therapy using carvedilol and 5-fluorouracil loaded exosomes as a novel synergistic strategy against breast cancer. Journal of Drug Delivery Science and Technology. 109. 107019–107019. 1 indexed citations
2.
Bagheri, Fatemeh, et al.. (2025). Modified exosomes for targeted delivery of doxorubicin and carvedilol to mitochondria in breast cancer cells. Scientific Reports. 15(1). 38386–38386.
3.
Shahbeik, Hossein, et al.. (2023). Waste-to-energy: Co-pyrolysis of potato peel and macroalgae for biofuels and biochemicals. Environmental Research. 242. 117614–117614. 22 indexed citations
4.
Motamedian, Ehsan, et al.. (2023). Investigating ethanol production using the Zymomonas mobilis crude extract. Scientific Reports. 13(1). 1165–1165. 3 indexed citations
5.
Motamedian, Ehsan, et al.. (2023). OptEnvelope: A target point guided method for growth-coupled production using knockouts. PLoS ONE. 18(11). e0294313–e0294313. 4 indexed citations
6.
7.
Motamedian, Ehsan, et al.. (2023). Integrating gene expression data into a genome-scale metabolic model to identify reprogramming during adaptive evolution. PLoS ONE. 18(10). e0292433–e0292433. 2 indexed citations
8.
Vakilchap, Farzane, et al.. (2023). Regulatory-systemic approach in Aspergillus niger for bioleaching improvement by controlling precipitation. Applied Microbiology and Biotechnology. 107(23). 7331–7346. 8 indexed citations
9.
Fotovat, Reza, et al.. (2022). Improvement of Lutein Production in Auxenochlorella protothecoides Using Its Genome-Scale Metabolic Model and a System-Oriented Approach. Applied Biochemistry and Biotechnology. 195(2). 889–904. 4 indexed citations
10.
Motamedian, Ehsan, et al.. (2022). Investigating role of abiotic side and finding optimum abiotic condition for improving gas biodesulfurization using Thioalkalivibrio versutus. Scientific Reports. 12(1). 6260–6260. 4 indexed citations
11.
Maghsoudi, Nader, et al.. (2022). Valine feeding reduces ammonia production through rearrangement of metabolic fluxes in central carbon metabolism of CHO cells. Applied Microbiology and Biotechnology. 106(3). 1113–1126. 13 indexed citations
12.
Motamedian, Ehsan, et al.. (2022). Reconstruction of a generic genome-scale metabolic network for chicken: Investigating network connectivity and finding potential biomarkers. PLoS ONE. 17(3). e0254270–e0254270. 5 indexed citations
13.
Motamedian, Ehsan, et al.. (2021). Improving ethanol production by studying the effect of pH using a modified metabolic model and a systemic approach. Biotechnology and Bioengineering. 118(8). 2934–2946. 11 indexed citations
14.
Babaeipour, Valiollah, et al.. (2020). Reconstruction, verification and in-silico analysis of a genome-scale metabolic model of bacterial cellulose producing Komagataeibacter xylinus. Bioprocess and Biosystems Engineering. 43(6). 1017–1026. 12 indexed citations
15.
Motamedian, Ehsan, et al.. (2020). ACBM: An Integrated Agent and Constraint Based Modeling Framework for Simulation of Microbial Communities. Scientific Reports. 10(1). 8695–8695. 22 indexed citations
16.
17.
Jamialahmadi, Oveis, Sameereh Hashemi‐Najafabadi, Ehsan Motamedian, Stefano Romeo, & Fatemeh Bagheri. (2019). A benchmark-driven approach to reconstruct metabolic networks for studying cancer metabolism. PLoS Computational Biology. 15(4). e1006936–e1006936. 24 indexed citations
18.
Jamialahmadi, Oveis, Ehsan Motamedian, & Sameereh Hashemi‐Najafabadi. (2016). BiKEGG: a COBRA toolbox extension for bridging the BiGG and KEGG databases. Molecular BioSystems. 12(11). 3459–3466. 9 indexed citations
19.
Motamedian, Ehsan, et al.. (2016). Reconstruction of a charge balanced genome-scale metabolic model to study the energy-uncoupled growth of Zymomonas mobilis ZM1. Molecular BioSystems. 12(4). 1241–1249. 22 indexed citations
20.
Motamedian, Ehsan & Fereshteh Naeimpoor. (2011). FLUX DISTRIBUTION IN BACILLUS SUBTILIS: INSPECTION ON PLURALITY OF OPTIMAL SOLUTIONS. Iranian Journal of Biotechnology. 9(4). 260–266. 3 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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