Niaz Khan

1.0k total citations
11 papers, 710 citations indexed

About

Niaz Khan is a scholar working on Neurology, Molecular Biology and Neurology. According to data from OpenAlex, Niaz Khan has authored 11 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 6 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Niaz Khan's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Extracellular vesicles in disease (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Niaz Khan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Extracellular vesicles in disease (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Niaz Khan collaborates with scholars based in United States. Niaz Khan's co-authors include Alan I. Faden, Junfang Wu, Bogdan A. Stoica, David J. Loane, Rodney M. Ritzel, Yun Li, Junyun He, Stephen R. Thom, Ming Yang and Asit Kumar and has published in prestigious journals such as Trends in Neurosciences, Brain Behavior and Immunity and Glia.

In The Last Decade

Niaz Khan

11 papers receiving 705 citations

Peers

Niaz Khan

NEURO

PFM

NEURO

Abi G. Yates United Kingdom

Matilda Degn Denmark

Elisabeth G. Kramer United States

Yuqin Ye China

Rosmarini Passos dos Santos Brazil

Jinghui Xu China

Xinhong Su China

Haoqi Ni China

Lee A. Shapiro United States

Xiangmei Kong United States

Abi G. Yates United Kingdom

Niaz Khan

430 ×1.1

296 ×1.1

NEURO

73 ×0.4

PFM

147 ×1.2

NEURO

129 ×1.2

Citations per year, relative to Niaz Khan Niaz Khan (= 1×) peers Abi G. Yates

Countries citing papers authored by Niaz Khan

Since Specialization

Citations

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

Fields of papers citing papers by Niaz Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niaz Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Niaz Khan. A scholar is included among the top collaborators of Niaz 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 Niaz Khan. Niaz 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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11 of 11 papers shown

Henry, Rebecca J., James P. Barrett, Niaz Khan, et al.. (2024). Interaction of high-fat diet and brain trauma alters adipose tissue macrophages and brain microglia associated with exacerbated cognitive dysfunction. Journal of Neuroinflammation. 21(1). 113–113. 15 indexed citations

Lei, Zhuofan, Balaji Krishnamachary, Niaz Khan, et al.. (2024). Spinal cord injury disrupts plasma extracellular vesicles cargoes leading to neuroinflammation in the brain and neurological dysfunction in aged male mice. Brain Behavior and Immunity. 120. 584–603. 6 indexed citations

Ritzel, Rodney M., Yun Li, Yun Jiao, et al.. (2024). Bi-directional neuro-immune dysfunction after chronic experimental brain injury. Journal of Neuroinflammation. 21(1). 83–83. 3 indexed citations

Li, Yun, Niaz Khan, Rodney M. Ritzel, et al.. (2023). Sexually dimorphic extracellular vesicle responses after chronic spinal cord injury are associated with neuroinflammation and neurodegeneration in the aged brain. Journal of Neuroinflammation. 20(1). 197–197. 12 indexed citations

Ritzel, Rodney M., Yun Li, Zhuofan Lei, et al.. (2022). Functional and transcriptional profiling of microglial activation during the chronic phase of TBI identifies an age-related driver of poor outcome in old mice. GeroScience. 44(3). 1407–1440. 27 indexed citations

Dutta, Dipankar, Niaz Khan, Junfang Wu, & Steven M. Jay. (2021). Extracellular Vesicles as an Emerging Frontier in Spinal Cord Injury Pathobiology and Therapy. Trends in Neurosciences. 44(6). 492–506. 82 indexed citations

Li, Yun, Rodney M. Ritzel, Niaz Khan, et al.. (2020). Delayed microglial depletion after spinal cord injury reduces chronic inflammation and neurodegeneration in the brain and improves neurological recovery in male mice. Theranostics. 10(25). 11376–11403. 142 indexed citations

Khan, Niaz, Tuoxin Cao, Junyun He, et al.. (2020). Spinal cord injury alters microRNA and CD81+ exosome levels in plasma extracellular nanoparticles with neuroinflammatory potential. Brain Behavior and Immunity. 92. 165–183. 65 indexed citations

Ritzel, Rodney M., Junyun He, Yun Li, et al.. (2020). Proton extrusion during oxidative burst in microglia exacerbates pathological acidosis following traumatic brain injury. Glia. 69(3). 746–764. 58 indexed citations

10.

Ritzel, Rodney M., Yun Li, Junyun He, et al.. (2019). Sustained neuronal and microglial alterations are associated with diverse neurobehavioral dysfunction long after experimental brain injury. Neurobiology of Disease. 136. 104713–104713. 50 indexed citations

11.

Kumar, Alok, Bogdan A. Stoica, David J. Loane, et al.. (2017). Microglial-derived microparticles mediate neuroinflammation after traumatic brain injury. Journal of Neuroinflammation. 14(1). 47–47. 250 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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