Mohammed Repon Khan

683 total citations
10 papers, 486 citations indexed

About

Mohammed Repon Khan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Mohammed Repon Khan has authored 10 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Mohammed Repon Khan's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Autophagy in Disease and Therapy (2 papers) and CRISPR and Genetic Engineering (2 papers). Mohammed Repon Khan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Autophagy in Disease and Therapy (2 papers) and CRISPR and Genetic Engineering (2 papers). Mohammed Repon Khan collaborates with scholars based in United States and United Kingdom. Mohammed Repon Khan's co-authors include Brian D. Slaughter, Kausik Si, Jay R. Unruh, Liying Li, E Choi, Fengli Guo, Kasthuri Kannan, Amitabha Majumdar, Huoqing Jiang and Valina L. Dawson and has published in prestigious journals such as Cell, Nature Communications and PLoS ONE.

In The Last Decade

Mohammed Repon Khan

10 papers receiving 484 citations

Peers

Countries citing papers authored by Mohammed Repon Khan

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Repon Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Repon Khan

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Protein Translation in the Pathogenesis of Parkinson’s Disease 2024 ·International Journal of Molecular Sciences ·(unknown), Mohammed Repon Khan, Ted M. Dawson, Valina L. Dawson	3
2	Enhanced mTORC1 signaling and protein synthesis in pathologic α-synuclein cellular and animal models of Parkinson’s disease 2023 ·Science Translational Medicine ·Mohammed Repon Khan, Xiling Yin, Sung-Ung Kang, Jaba Mitra, Hu Wang, (unknown), Saurav Brahmachari, Senthilkumar S. Karuppagounder, Yasuyoshi Kimura, Aanishaa Jhaldiyal, Hyun Hee Kim, Hao Gu, Rong Chen, Javier Redding‐Ochoa, Juan C. Troncoso, Chan Hyun Na, Taekjip Ha, Valina L. Dawson, Ted M. Dawson	29
3	AAA + ATPase Thorase inhibits mTOR signaling through the disassembly of the mTOR complex 1 2022 ·Nature Communications ·George K. E. Umanah, Leire Abalde-Atristain, Mohammed Repon Khan, Jaba Mitra, (unknown), Melissa Chang, (unknown), (unknown), Samuel Bennett, Rong Chen, Vasudha Aggarwal, (unknown), Paul Worley, Taekjip Ha, Ted M. Dawson, Valina L. Dawson	3
4	Defects in mRNA Translation in LRRK2-Mutant hiPSC-Derived Dopaminergic Neurons Lead to Dysregulated Calcium Homeostasis 2020 ·Cell stem cell ·Jungwoo Wren Kim, Xiling Yin, Aanishaa Jhaldiyal, Mohammed Repon Khan, Ian Martin, Zhong Xie, Tamara Perez‐Rosello, Manoj Kumar, Leire Abalde-Atristain, Jinchong Xu, Li Chen, Stephen Eacker, D. James Surmeier, Nicholas T. Ingolia, Ted M. Dawson, Valina L. Dawson	44
5	Quantitative mass spectrometric analysis of the mouse cerebral cortex after ischemic stroke 2020 ·PLoS ONE ·(unknown), (unknown), Shinwon Ha, (unknown), Mohammed Repon Khan, Bong Gu Kang, Ted M. Dawson, Valina L. Dawson, Shaida A. Andrabi, Sung-Ung Kang	8
6	PARIS induced defects in mitochondrial biogenesis drive dopamine neuron loss under conditions of parkin or PINK1 deficiency 2020 ·Molecular Neurodegeneration ·Sheila K. Pirooznia, Changqing Yuan, Mohammed Repon Khan, Senthilkumar S. Karuppagounder, Luan Wang, Yulan Xiong, Sung Ung Kang, Yunjong Lee, Valina L. Dawson, Ted M. Dawson	66
7	A Putative Biochemical Engram of Long-Term Memory 2016 ·Current Biology ·Liying Li, (unknown), Brian D. Slaughter, (unknown), Mohammed Repon Khan, Jay R. Unruh, Boris Rubinstein, Kausik Si	32
8	Amyloidogenic Oligomerization Transforms Drosophila Orb2 from a Translation Repressor to an Activator 2015 ·Cell ·Mohammed Repon Khan, Liying Li, (unknown), Anita Saraf, Laurence Florens, Brian D. Slaughter, Jay R. Unruh, Kausik Si	86
9	Critical Role of Amyloid-like Oligomers of Drosophila Orb2 in the Persistence of Memory 2012 ·Cell ·Amitabha Majumdar, (unknown), (unknown), Huoqing Jiang, (unknown), Mohammed Repon Khan, Liying Li, E Choi, Kasthuri Kannan, Fengli Guo, Jay R. Unruh, Brian D. Slaughter, Kausik Si	214
10	Role of TapY1 and PlsB in biofilm formation in Aeromonas species 2009 ·Mohammed Repon Khan	1

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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