Mohammed Hossain

2.3k total citations · 1 hit paper
20 papers, 1.8k citations indexed

About

Mohammed Hossain is a scholar working on Neurology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mohammed Hossain has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mohammed Hossain's work include Barrier Structure and Function Studies (7 papers), Drug Transport and Resistance Mechanisms (3 papers) and Neonatal and fetal brain pathology (2 papers). Mohammed Hossain is often cited by papers focused on Barrier Structure and Function Studies (7 papers), Drug Transport and Resistance Mechanisms (3 papers) and Neonatal and fetal brain pathology (2 papers). Mohammed Hossain collaborates with scholars based in United States, Bangladesh and Canada. Mohammed Hossain's co-authors include Damir Janigro, Luca Cucullo, Kyeongseok Kim, Subbroto Kumar Saha, Ssang‐Goo Cho, Soo Lee, Ahmed Abdal Dayem, Gwang‐Mo Yang, Hye Jin Choi and William S. Tierney and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Mohammed Hossain

20 papers receiving 1.8k citations

Hit Papers

The Role of Reactive Oxygen Species (ROS) in the Biologic... 2017 2026 2020 2023 2017 250 500 750

Peers

Mohammed Hossain
Mohammed Hossain
Citations per year, relative to Mohammed Hossain Mohammed Hossain (= 1×) peers Aloı̈se Mabondzo

Countries citing papers authored by Mohammed Hossain

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Hossain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Hossain

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Hossain. A scholar is included among the top collaborators of Mohammed Hossain 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 Mohammed Hossain. Mohammed Hossain 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
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Hossain, Mohammed, et al.. (2023). Prediction of IDC Breast Cancer by the Application of Transfer Learning with an Ensemble Method. 239–243. 1 indexed citations
4.
Hossain, Mohammed, et al.. (2022). Autoimmune Pancreatitis Masquerading as Pancreatic Cancer: A Case Report and Literature Review. Cureus. 14(2). e21900–e21900. 3 indexed citations
5.
Rahman, Mohammed Tanjimur, Chaitali Ghosh, Mohammed Hossain, et al.. (2018). IFN-γ, IL-17A, or zonulin rapidly increase the permeability of the blood-brain and small intestinal epithelial barriers: Relevance for neuro-inflammatory diseases. Biochemical and Biophysical Research Communications. 507(1-4). 274–279. 135 indexed citations
6.
Hossain, Mohammed, et al.. (2018). Expression and Functional Relevance of Death-Associated Protein Kinase in Human Drug-Resistant Epileptic Brain: Focusing on the Neurovascular Interface. Molecular Neurobiology. 56(7). 4904–4915. 9 indexed citations
7.
Dayem, Ahmed Abdal, Mohammed Hossain, Soo Lee, et al.. (2017). The Role of Reactive Oxygen Species (ROS) in the Biological Activities of Metallic Nanoparticles. International Journal of Molecular Sciences. 18(1). 120–120. 844 indexed citations breakdown →
8.
Dash, Raju, S. M. Zahid Hosen, Md. Rezaul Karim, et al.. (2015). In silico analysis of indole-3-carbinol and its metabolite DIM as EGFR tyrosine kinase inhibitors in platinum resistant ovarian cancer vis a vis ADME/T property analysis. Journal of Applied Pharmaceutical Science. 73–78. 21 indexed citations
9.
Cucullo, Luca, Mohammed Hossain, William S. Tierney, & Damir Janigro. (2013). A new dynamic in vitro modular capillaries-venules modular system: Cerebrovascular physiology in a box. BMC Neuroscience. 14(1). 18–18. 84 indexed citations
10.
Ghosh, Chaitali, et al.. (2013). Expression and functional relevance ofUGT1A4 in a cohort of human drug‐resistant epileptic brains. Epilepsia. 54(9). 1562–1570. 33 indexed citations
11.
Hossain, Mohammed, Peter J. Mazzone, William S. Tierney, & Luca Cucullo. (2011). In Vitro Assessment of Tobacco Smoke Toxicity at the BBB: Do Antioxidant Supplements Have a Protective Role?. BMC Neuroscience. 12(1). 92–92. 33 indexed citations
12.
Mazzone, Peter J., William S. Tierney, Mohammed Hossain, et al.. (2010). Pathophysiological Impact of Cigarette Smoke Exposure on the Cerebrovascular System with a Focus on the Blood-brain Barrier: Expanding the Awareness of Smoking Toxicity in an Underappreciated Area. International Journal of Environmental Research and Public Health. 7(12). 4111–4126. 128 indexed citations
13.
Cucullo, Luca, Nicola Marchi, Mohammed Hossain, & Damir Janigro. (2010). A Dynamic in vitro BBB Model for the Study of Immune Cell Trafficking into the Central Nervous System. Journal of Cerebral Blood Flow & Metabolism. 31(2). 767–777. 108 indexed citations
14.
Wang, Guangming, Qingmin Guo, Mohammed Hossain, et al.. (2009). Bone marrow-derived cells are the major source of MMP-9 contributing to blood–brain barrier dysfunction and infarct formation after ischemic stroke in mice. Brain Research. 1294. 183–192. 52 indexed citations
15.
Friedman, S. Marvin, et al.. (2006). Gene Expression Profiling of Intrinsic Thermotolerance in Escherichia coli. Current Microbiology. 52(1). 50–54. 5 indexed citations
16.
Santaguida, Stefano, et al.. (2006). Side by side comparison between dynamic versus static models of blood–brain barrier in vitro: A permeability study. Brain Research. 1109(1). 1–13. 161 indexed citations
17.
Križanac-Bengez, Ljiljana, Mohammed Hossain, Vince Fazio, Marc R. Mayberg, & Damir Janigro. (2006). Loss of flow induces leukocyte-mediated MMP/TIMP imbalance in dynamic in vitro blood-brain barrier model: role of pro-inflammatory cytokines. American Journal of Physiology-Cell Physiology. 291(4). C740–C749. 41 indexed citations
18.
Križanac-Bengez, Ljiljana, Marc R. Mayberg, Edwin J. Cunningham, et al.. (2005). Loss of shear stress induces leukocyte‐mediated cytokine release and blood–brain barrier failure in dynamic in vitro blood–brain barrier model. Journal of Cellular Physiology. 206(1). 68–77. 57 indexed citations
19.
Križanac-Bengez, Ljiljana, Miranda Kapural, Fiona E. Parkinson, et al.. (2003). Effects of transient loss of shear stress on blood–brain barrier endothelium: role of nitric oxide and IL-6. Brain Research. 977(2). 239–246. 63 indexed citations
20.
Marroni, Matteo, Kelly Kight, Mohammed Hossain, et al.. (2003). Dynamic In Vitro Model of the Blood–Brain Barrier: Gene Profiling Using cDNA Microarray Analysis. Humana Press eBooks. 89. 419–434. 17 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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