Juhee Khan
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
- Physiology 19
- Alzheimer's disease research and treatments 18
- Pharmacology 15
- Cholinesterase and Neurodegenerative Diseases 15
- Co-authors
- Surajit Ghosh (30 shared papers)Gaurav Das (15 shared papers)Krishnangsu Pradhan (12 shared papers)Prasenjit Mondal (9 shared papers)Anindyasundar Adak (3 shared papers)Varsha Gupta (6 shared papers)Nabanita Mukherjee (5 shared papers)Shubham Garg (10 shared papers)
In The Last Decade
Juhee Khan
28 papers receiving 413 citations
Peers
Comparison fields: 5 of 69
- Biomaterials 99
- Pharmacology 117
- Physiology 156
- Computational Theory and Mathematics 74
- Developmental Neuroscience 19
Countries citing papers authored by Juhee Khan
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
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-authors
The 21 scholars most cited alongside Juhee Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 42 | |
| 2 | 2018 | 38 | |
| 3 | 2018 | 37 | |
| 4 | 2022 | 33 | |
| 5 | 2020 | 25 | |
| 6 | 2017 | 24 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 20 | |
| 9 | 2023 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 2019 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2022 | 10 | |
| 17 | 2018 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 7 |
About Juhee Khan
Juhee Khan is a scholar working on Physiology, Pharmacology, Computational Theory and Mathematics, Biomaterials and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 415 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (18 papers), Cholinesterase and Neurodegenerative Diseases (15 papers), Computational Drug Discovery Methods (8 papers), Supramolecular Self-Assembly in Materials (7 papers), Microtubule and mitosis dynamics (4 papers), Neuroscience and Neural Engineering (3 papers), Anesthesia and Neurotoxicity Research (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Biomaterials (99 citations), Pharmacology (117 citations), Physiology (156 citations), Computational Theory and Mathematics (74 citations) and Developmental Neuroscience (19 citations). Juhee Khan has collaborated with scholars based in India and Russia. Frequent co-authors include Surajit Ghosh, Gaurav Das, Krishnangsu Pradhan, Prasenjit Mondal, Anindyasundar Adak, Varsha Gupta, Nabanita Mukherjee, Shubham Garg, Subhajit Ghosh and Nihar Ranjan Jana. Their work appears in journals such as ACS Chemical Neuroscience, ACS Omega, Free Radical Biology and Medicine, ACS Applied Materials & Interfaces and Journal of Visualized Experiments.
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.