Juhee Khan

516 total citations
31 papers, 415 citations indexed

About

Juhee Khan is a scholar working on Physiology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Juhee Khan has authored 31 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 15 papers in Pharmacology and 8 papers in Computational Theory and Mathematics. Recurrent topics in Juhee Khan's work include Alzheimer's disease research and treatments (18 papers), Cholinesterase and Neurodegenerative Diseases (15 papers) and Computational Drug Discovery Methods (8 papers). Juhee Khan is often cited by papers focused on Alzheimer's disease research and treatments (18 papers), Cholinesterase and Neurodegenerative Diseases (15 papers) and Computational Drug Discovery Methods (8 papers). Juhee Khan collaborates with scholars based in India and Russia. Juhee Khan's co-authors include Surajit Ghosh, Gaurav Das, Krishnangsu Pradhan, Prasenjit Mondal, Nabanita Mukherjee, Anindyasundar Adak, Varsha Gupta, Shubham Garg, Subhajit Ghosh and Parasuraman Jaisankar and has published in prestigious journals such as ACS Applied Materials & Interfaces, Free Radical Biology and Medicine and Journal of Medicinal Chemistry.

In The Last Decade

Juhee Khan

28 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juhee Khan India 13 156 153 117 99 74 31 415
Krishnangsu Pradhan India 11 121 0.8× 136 0.9× 97 0.8× 69 0.7× 55 0.7× 18 346
Elisa Salvati Italy 8 271 1.7× 261 1.7× 84 0.7× 214 2.2× 33 0.4× 8 560
Mark Taylor United Kingdom 11 437 2.8× 326 2.1× 136 1.2× 176 1.8× 66 0.9× 12 843
Devkee M. Vadukul United Kingdom 13 297 1.9× 289 1.9× 44 0.4× 109 1.1× 32 0.4× 29 555
Ava Faridi Australia 14 314 2.0× 253 1.7× 53 0.5× 159 1.6× 25 0.3× 15 614
Yoon Seok Suh South Korea 8 137 0.9× 130 0.8× 79 0.7× 32 0.3× 18 0.2× 11 369
Roger Prades Spain 12 88 0.6× 363 2.4× 72 0.6× 143 1.4× 20 0.3× 29 708
Jeffrey J. Mason Sweden 6 169 1.1× 194 1.3× 42 0.4× 44 0.4× 44 0.6× 9 424
Petrea Frid Sweden 3 161 1.0× 136 0.9× 38 0.3× 33 0.3× 36 0.5× 6 338
Hei‐Nga Chan Hong Kong 10 193 1.2× 204 1.3× 73 0.6× 60 0.6× 31 0.4× 13 468

Countries citing papers authored by Juhee Khan

Since Specialization
Citations

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

Fields of papers citing papers by Juhee Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juhee Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Juhee Khan. A scholar is included among the top collaborators of Juhee 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 Juhee Khan. Juhee Khan 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.
2.
Khan, Juhee, et al.. (2025). Discovery of Carbazole and Theophylline-Based Amyloid Inhibitor for the Promotion of Neuroprotection. ACS Chemical Neuroscience. 16(12). 2224–2236. 1 indexed citations
3.
Garg, Shubham, et al.. (2024). Discovery of Gallic Acid-Based Mitochondriotropic Antioxidant Attenuates LPS-Induced Neuroinflammation. Free Radical Biology and Medicine. 224. S98–S98.
4.
Khan, Juhee, et al.. (2024). Power of Dopamine: Multifunctional Compound Assisted Conversion of the Most Risk Factor into Therapeutics of Alzheimer’s Disease. ACS Chemical Neuroscience. 15(13). 2470–2483. 6 indexed citations
5.
Garg, Shubham, et al.. (2024). Discovery of gallic acid-based mitochondriotropic antioxidant attenuates LPS-induced neuroinflammation. Free Radical Biology and Medicine. 226. 302–329. 3 indexed citations
6.
Khan, Juhee, et al.. (2024). Hydrophobic C-Terminal Peptide Analog Aβ31–41 Protects the Neurons from Aβ-Induced Toxicity. ACS Chemical Neuroscience. 15(12). 2372–2385. 7 indexed citations
7.
Khan, Juhee, et al.. (2023). Molecular mechanism of cognitive impairment associated with Parkinson's disease: A stroke perspective. Life Sciences. 337. 122358–122358. 6 indexed citations
8.
Khan, Juhee, et al.. (2023). Controlling Amyloid Beta Peptide Aggregation and Toxicity by Protease-Stable Ligands. PubMed. 3(2). 158–173. 12 indexed citations
9.
Adak, Anindyasundar, Gaurav Das, Varsha Gupta, et al.. (2022). Evolution of Potential Antimitotic Stapled Peptides from Multiple Helical Peptide Stretches of the Tubulin Heterodimer Interface: Helix-Mimicking Stapled Peptide Tubulin Inhibitors. Journal of Medicinal Chemistry. 65(20). 13866–13878. 7 indexed citations
10.
Khan, Juhee, et al.. (2022). Design and Development of Benzothiazole-Based Fluorescent Probes for Selective Detection of Aβ Aggregates in Alzheimer’s Disease. ACS Chemical Neuroscience. 13(16). 2503–2516. 33 indexed citations
11.
Khan, Juhee, et al.. (2022). Short Peptoid Evolved from the Key Hydrophobic Stretch of Amyloid-β42 Peptide Serves as a Potent Therapeutic Lead of Alzheimer’s Disease. ACS Chemical Neuroscience. 14(2). 246–260. 10 indexed citations
12.
Adak, Anindyasundar, Gaurav Das, Juhee Khan, et al.. (2020). Extracellular Matrix (ECM)-Mimicking Neuroprotective Injectable Sulfo-Functionalized Peptide Hydrogel for Repairing Brain Injury. ACS Biomaterials Science & Engineering. 6(4). 2287–2296. 42 indexed citations
13.
Mondal, Prasenjit, et al.. (2019). In Silico Approach for Designing Potent Neuroprotective Hexapeptide. ACS Chemical Neuroscience. 10(6). 3018–3030. 12 indexed citations
14.
Das, Gaurav, Varsha Gupta, Prasenjit Mondal, et al.. (2019). Dual-Arm Nanocapsule Targets Neuropilin-1 Receptor and Microtubule: A Potential Nanomedicine Platform. Molecular Pharmaceutics. 16(6). 2522–2531. 19 indexed citations
15.
Mondal, Prasenjit, Gaurav Das, Juhee Khan, et al.. (2019). Potential Neuroprotective Peptide Emerged from Dual Neurotherapeutic Targets: A Fusion Approach for the Development of Anti-Alzheimer’s Lead. ACS Chemical Neuroscience. 10(5). 2609–2620. 15 indexed citations
16.
Mondal, Prasenjit, et al.. (2018). Peptide-Based Acetylcholinesterase Inhibitor Crosses the Blood-Brain Barrier and Promotes Neuroprotection. ACS Chemical Neuroscience. 9(11). 2838–2848. 37 indexed citations
17.
Pradhan, Krishnangsu, et al.. (2018). Genesis of Neuroprotective Peptoid from Aβ30–34 Inhibits Aβ Aggregation and AChE Activity. ACS Chemical Neuroscience. 9(12). 2929–2940. 21 indexed citations
18.
Das, Gaurav, Prasenjit Mondal, Krishnangsu Pradhan, et al.. (2018). Power of Tyrosine Assembly in Microtubule Stabilization and Neuroprotection Fueled by Phenol Appendages. ACS Chemical Neuroscience. 10(3). 1506–1516. 8 indexed citations
19.
Pradhan, Krishnangsu, et al.. (2018). Discovery of Neuroregenerative Peptoid from Amphibian Neuropeptide That Inhibits Amyloid-β Toxicity and Crosses Blood–Brain Barrier. ACS Chemical Neuroscience. 10(3). 1355–1368. 20 indexed citations
20.
Mondal, Prasenjit, Gaurav Das, Juhee Khan, Krishnangsu Pradhan, & Surajit Ghosh. (2017). Crafting of Neuroprotective Octapeptide from Taxol-Binding Pocket of β-Tubulin. ACS Chemical Neuroscience. 9(3). 615–625. 24 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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