Mehtab Khan

1.6k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Mehtab Khan is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mehtab Khan has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mehtab Khan's work include Tryptophan and brain disorders (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Mitochondrial Function and Pathology (2 papers). Mehtab Khan is often cited by papers focused on Tryptophan and brain disorders (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Mitochondrial Function and Pathology (2 papers). Mehtab Khan collaborates with scholars based in South Korea, Canada and Pakistan. Mehtab Khan's co-authors include Myeong Ok Kim, Faiz Ul Amin, Shahid Ali Shah, Shafiq Ur Rehman, Muhammad Sohail Khan, Tahir Ali, Muhammad Ikram, Tae Hyun Kim, Min Gi Jo and Rahat Ullah and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Cerebral Cortex.

In The Last Decade

Mehtab Khan

17 papers receiving 1.3k citations

Hit Papers

Natural Dietary Supplementation of Anthocyanins via PI3K/... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehtab Khan South Korea 13 542 343 214 157 147 18 1.3k
Yashi Mi China 21 637 1.2× 497 1.4× 214 1.0× 173 1.1× 178 1.2× 24 1.5k
Maria Laura Ontario Italy 24 761 1.4× 389 1.1× 236 1.1× 215 1.4× 140 1.0× 30 1.9k
Guoyuan Qi China 20 600 1.1× 494 1.4× 209 1.0× 171 1.1× 177 1.2× 23 1.5k
Ritushree Kukreti India 5 773 1.4× 419 1.2× 212 1.0× 114 0.7× 121 0.8× 8 1.9k
Amjad Khan South Korea 22 586 1.1× 412 1.2× 412 1.9× 132 0.8× 195 1.3× 25 1.6k
Bun Tsoi China 22 491 0.9× 201 0.6× 138 0.6× 100 0.6× 104 0.7× 42 1.3k
Tahir Muhammad Pakistan 17 488 0.9× 293 0.9× 277 1.3× 58 0.4× 158 1.1× 58 1.3k
Shahid Ali Shah Pakistan 19 584 1.1× 558 1.6× 307 1.4× 188 1.2× 196 1.3× 58 1.9k
Min Gi Jo South Korea 14 354 0.7× 241 0.7× 223 1.0× 69 0.4× 114 0.8× 20 910
Haroon Badshah South Korea 19 534 1.0× 447 1.3× 394 1.8× 160 1.0× 217 1.5× 29 1.7k

Countries citing papers authored by Mehtab Khan

Since Specialization
Citations

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

Fields of papers citing papers by Mehtab Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehtab Khan

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

All Works

18 of 18 papers shown
1.
2.
Jan, Asif, Ramzi A. Mothana, Jun-Ya Kaimori, et al.. (2024). Pharmacogenomic Study of Selected Genes Affecting Amlodipine Blood Pressure Response in Patients with Hypertension. Pharmacogenomics and Personalized Medicine. Volume 17. 473–486. 1 indexed citations
3.
Haq, Ihtisham Ul, et al.. (2024). Phytopathological management through bacteriophages: enhancing food security amidst climate change. Journal of Industrial Microbiology & Biotechnology. 51. 3 indexed citations
4.
Khan, Mehtab, et al.. (2023). Connecting Dots between Mitochondrial Dysfunction and Depression. Biomolecules. 13(4). 695–695. 42 indexed citations
5.
Khan, Mehtab, Razan Sheta, Stéphanie Jean, et al.. (2023). Aggregation of alpha-synuclein disrupts mitochondrial metabolism and induce mitophagy via cardiolipin externalization. Cell Death and Disease. 14(11). 729–729. 35 indexed citations
6.
Haq, Ihtisham Ul, et al.. (2023). Molecular Understanding of ACE-2 and HLA-Conferred Differential Susceptibility to COVID-19: Host-Directed Insights Opening New Windows in COVID-19 Therapeutics. Journal of Clinical Medicine. 12(7). 2645–2645. 6 indexed citations
7.
Morris, Jordan L., et al.. (2022). Mitochondrial matrix-localized Src kinase regulates mitochondrial morphology. Cellular and Molecular Life Sciences. 79(6). 327–327. 12 indexed citations
8.
Khan, Mehtab, Bart P. F. Rutten, & Myeong Ok Kim. (2019). MST1 Regulates Neuronal Cell Death via JNK/Casp3 Signaling Pathway in HFD Mouse Brain and HT22 Cells. International Journal of Molecular Sciences. 20(10). 2504–2504. 36 indexed citations
9.
Ullah, Rahat, Mehtab Khan, Shahid Ali Shah, Kamran Saeed, & Myeong Ok Kim. (2019). Natural Antioxidant Anthocyanins—A Hidden Therapeutic Candidate in Metabolic Disorders with Major Focus in Neurodegeneration. Nutrients. 11(6). 1195–1195. 121 indexed citations
10.
Khan, Mehtab, Rahat Ullah, Shafiq Ur Rehman, et al.. (2019). 17β-Estradiol Modulates SIRT1 and Halts Oxidative Stress-Mediated Cognitive Impairment in a Male Aging Mouse Model. Cells. 8(8). 928–928. 87 indexed citations
11.
12.
Ullah, Imran, Mehtab Khan, Dinesh Bharti, et al.. (2018). Dental pulp-derived stem cells can counterbalance peripheral nerve injury-induced oxidative stress and supraspinal neuro-inflammation in rat brain. Scientific Reports. 8(1). 15795–15795. 29 indexed citations
13.
Amin, Faiz Ul, Shahid Ali Shah, Haroon Badshah, Mehtab Khan, & Myeong Ok Kim. (2017). Anthocyanins encapsulated by PLGA@PEG nanoparticles potentially improved its free radical scavenging capabilities via p38/JNK pathway against Aβ1–42-induced oxidative stress. Journal of Nanobiotechnology. 15(1). 12–12. 135 indexed citations
14.
Khan, Mehtab, Shahid Ali Shah, & Myeong Ok Kim. (2017). 17β-Estradiol via SIRT1/Acetyl-p53/NF-kB Signaling Pathway Rescued Postnatal Rat Brain Against Acute Ethanol Intoxication. Molecular Neurobiology. 55(4). 3067–3078. 40 indexed citations
15.
Ali, Tahir, Tae Hyun Kim, Shafiq Ur Rehman, et al.. (2017). Natural Dietary Supplementation of Anthocyanins via PI3K/Akt/Nrf2/HO-1 Pathways Mitigate Oxidative Stress, Neurodegeneration, and Memory Impairment in a Mouse Model of Alzheimer’s Disease. Molecular Neurobiology. 55(7). 6076–6093. 388 indexed citations breakdown →
16.
Rehman, Shafiq Ur, Ashfaq Ahmad, Gwangho Yoon, et al.. (2017). Inhibition of c-Jun N-Terminal Kinase Protects Against Brain Damage and Improves Learning and Memory After Traumatic Brain Injury in Adult Mice. Cerebral Cortex. 28(8). 2854–2872. 47 indexed citations
17.
Shah, Shahid Ali, et al.. (2016). Melatonin Stimulates the SIRT1/Nrf2 Signaling Pathway Counteracting Lipopolysaccharide (LPS)‐Induced Oxidative Stress to Rescue Postnatal Rat Brain. CNS Neuroscience & Therapeutics. 23(1). 33–44. 203 indexed citations
18.
Shah, Shahid Ali, Faiz Ul Amin, Mehtab Khan, et al.. (2016). Anthocyanins abrogate glutamate-induced AMPK activation, oxidative stress, neuroinflammation, and neurodegeneration in postnatal rat brain. Journal of Neuroinflammation. 13(1). 286–286. 73 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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