Mohsen Ranjbaran

671 total citations
23 papers, 504 citations indexed

About

Mohsen Ranjbaran is a scholar working on Food Science, Biotechnology and Molecular Biology. According to data from OpenAlex, Mohsen Ranjbaran has authored 23 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Food Science, 9 papers in Biotechnology and 6 papers in Molecular Biology. Recurrent topics in Mohsen Ranjbaran's work include Food Drying and Modeling (9 papers), Listeria monocytogenes in Food Safety (5 papers) and Microbial Inactivation Methods (5 papers). Mohsen Ranjbaran is often cited by papers focused on Food Drying and Modeling (9 papers), Listeria monocytogenes in Food Safety (5 papers) and Microbial Inactivation Methods (5 papers). Mohsen Ranjbaran collaborates with scholars based in United States, Iran and Ukraine. Mohsen Ranjbaran's co-authors include Dariush Zare, Ashim K. Datta, Bagher Emadi, Mohit S. Verma, Javad Hamedi, Jiangshan Wang, Bruno Augusto Mattar Carciofi, Mohamed Kamel, Sudhir K. Sastry and Tushar Gulati and has published in prestigious journals such as PLoS ONE, Langmuir and Trends in Food Science & Technology.

In The Last Decade

Mohsen Ranjbaran

23 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohsen Ranjbaran United States 12 288 98 94 83 82 23 504
Maciej Bańda Poland 10 171 0.6× 46 0.5× 128 1.4× 94 1.1× 112 1.4× 23 485
Maria Valeria De Bonis Italy 12 186 0.6× 41 0.4× 117 1.2× 86 1.0× 53 0.6× 30 395
József Farkas Hungary 11 319 1.1× 153 1.6× 64 0.7× 118 1.4× 56 0.7× 38 653
Carlos M. Corvalán United States 16 284 1.0× 134 1.4× 60 0.6× 88 1.1× 154 1.9× 47 789
A. Jaques Chile 14 312 1.1× 97 1.0× 96 1.0× 72 0.9× 105 1.3× 36 623
Dean Burfoot United Kingdom 17 406 1.4× 262 2.7× 60 0.6× 132 1.6× 128 1.6× 42 766
Zhaohui Tang China 15 126 0.4× 44 0.4× 105 1.1× 244 2.9× 47 0.6× 28 586
Gary Tucker United Kingdom 12 164 0.6× 119 1.2× 36 0.4× 57 0.7× 63 0.8× 23 352
J.C. Atuonwu United Kingdom 13 246 0.9× 124 1.3× 101 1.1× 31 0.4× 41 0.5× 25 486
A.G. Abdul Ghani New Zealand 11 272 0.9× 112 1.1× 121 1.3× 84 1.0× 110 1.3× 13 511

Countries citing papers authored by Mohsen Ranjbaran

Since Specialization
Citations

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

Fields of papers citing papers by Mohsen Ranjbaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohsen Ranjbaran

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Ranjbaran. A scholar is included among the top collaborators of Mohsen Ranjbaran 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 Mohsen Ranjbaran. Mohsen Ranjbaran 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.
Ranjbaran, Mohsen, et al.. (2024). A drop dispenser for simplifying on-farm detection of foodborne pathogens. PLoS ONE. 19(12). e0315444–e0315444. 1 indexed citations
2.
Wang, Jiangshan, et al.. (2024). A portable, easy-to-use paper-based biosensor for rapid in-field detection of fecal contamination on fresh produce farms. Biosensors and Bioelectronics. 259. 116374–116374. 11 indexed citations
3.
Wang, Jiangshan, Mohsen Ranjbaran, & Mohit S. Verma. (2023). Bacteroidales as a fecal contamination indicator in fresh produce industry: A baseline measurement. Journal of Environmental Management. 351. 119641–119641. 1 indexed citations
4.
Wang, Jiangshan, et al.. (2022). Paper-Based Biosensors for the Detection of Nucleic Acids from Pathogens. Biosensors. 12(12). 1094–1094. 31 indexed citations
5.
Ranjbaran, Mohsen & Mohit S. Verma. (2022). Microfluidics at the interface of bacteria and fresh produce. Trends in Food Science & Technology. 128. 102–117. 18 indexed citations
6.
Wang, Jiangshan, et al.. (2022). A loop-mediated isothermal amplification assay to detect Bacteroidales and assess risk of fecal contamination. Food Microbiology. 110. 104173–104173. 12 indexed citations
7.
Ranjbaran, Mohsen, Bruno Augusto Mattar Carciofi, & Ashim K. Datta. (2021). Engineering modeling frameworks for microbial food safety at various scales. Comprehensive Reviews in Food Science and Food Safety. 20(5). 4213–4249. 15 indexed citations
8.
Ranjbaran, Mohsen, et al.. (2021). Factors affecting contamination and infiltration of Escherichia coli K12 into spinach leaves during vacuum cooling. Journal of Food Engineering. 311. 110735–110735. 7 indexed citations
9.
Ranjbaran, Mohsen, et al.. (2020). Mechanistic modeling of light-induced chemotactic infiltration of bacteria into leaf stomata. PLoS Computational Biology. 16(5). e1007841–e1007841. 11 indexed citations
10.
Ranjbaran, Mohsen & Ashim K. Datta. (2020). A Mechanistic Model for Bacterial Retention and Infiltration on a Leaf Surface during a Sessile Droplet Evaporation. Langmuir. 36(41). 12130–12142. 8 indexed citations
11.
Ranjbaran, Mohsen & Ashim K. Datta. (2019). Retention and infiltration of bacteria on a plant leaf driven by surface water evaporation. Physics of Fluids. 31(11). 17 indexed citations
12.
Ranjbaran, Mohsen & Ashim K. Datta. (2018). Pressure-driven infiltration of water and bacteria into plant leaves during vacuum cooling: A mechanistic model. Journal of Food Engineering. 246. 209–223. 30 indexed citations
13.
Hamedi, Javad, et al.. (2018). A Study on actinobacterial diversity of Hampoeil cave and screening of their biological activities. Saudi Journal of Biological Sciences. 26(7). 1587–1595. 31 indexed citations
14.
Ranjbaran, Mohsen & Bagher Emadi. (2015). A mathematical model of commodity wet-bulb temperature (CWBT) for grain storage applications. Biosystems Engineering. 139. 128–135. 7 indexed citations
15.
Ranjbaran, Mohsen, Bagher Emadi, & Dariush Zare. (2014). CFD Simulation of Deep-Bed Paddy Drying Process and Performance. Drying Technology. 32(8). 919–934. 72 indexed citations
16.
Ranjbaran, Mohsen & Dariush Zare. (2013). Simulation of energetic- and exergetic performance of microwave-assisted fluidized bed drying of soybeans. Energy. 59. 484–493. 80 indexed citations
17.
Zare, Dariush, Mohsen Ranjbaran, Mehrdad Niakousari, & Mehdi Javidi. (2012). Thin Layer Drying and Equilibrium Moisture Content Equations for Canola (Brassica napus L.). Iran agricultural research. 30(12). 11–20. 3 indexed citations
18.
Ranjbaran, Mohsen & Dariush Zare. (2012). CFD Modeling of Microwave-Assisted Fluidized Bed Drying of Moist Particles Using Two-Fluid Model. Drying Technology. 30(4). 362–376. 24 indexed citations
19.
Ranjbaran, Mohsen & Dariush Zare. (2012). A new approach for modeling of hot air-microwave thin layer drying of soybean. 15(3). 10 indexed citations
20.
Zare, Dariush & Mohsen Ranjbaran. (2011). Simulation and Validation of Microwave-Assisted Fluidized Bed Drying of Soybeans. Drying Technology. 30(3). 236–247. 41 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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