Yusuf S. Khan
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Biological Psychiatry top 5%
- Psychiatry and Mental health top 10%
- Co-authors
- Stephen L. VincentFrancine M. BenešAisha FarhanaRaymond MolloyMark S. TodtenkopfZafar RasheedAbdullah AlsrhaniJohn Williams
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)MicroRNA in disease regulation (4 papers)Neurotransmitter Receptor Influence on Behavior (3 papers)
- Partner nations
- Saudi ArabiaUnited StatesIndia
In The Last Decade
Yusuf S. Khan
35 papers receiving 936 citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 693
- Molecular Biology 364
- Cognitive Neuroscience 308
- Biological Psychiatry 125
- Psychiatry and Mental health 93
Countries citing papers authored by Yusuf S. Khan
This map shows the geographic impact of Yusuf S. 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 Yusuf S. Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuf S. Khan more than expected).
Fields of papers citing papers by Yusuf S. Khan
This network shows the impact of papers produced by Yusuf S. 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 Yusuf S. Khan. The network helps show where Yusuf S. Khan may publish in the future.
Co-authorship network of co-authors of Yusuf S. Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Yusuf S. Khan. A scholar is included among the top collaborators of Yusuf S. 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 Yusuf S. Khan. Yusuf S. Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | 9 | |
| 6 | Histology, Sertoli Cell | 5 |
| 7 | Cerebellopontine Angle Cancer | 2 |
| 8 | Sonography Gynecology Anatomy and Physiology | 1 |
| 9 | Anatomy, Head and Neck, Carotid Sinus | 4 |
| 10 | Cancer, Cerebellopontine Angle | 1 |
| 11 | Anatomy, Abdomen and Pelvis, Arteries and Veins | 0 |
| 12 | Neuroanatomy, Otic Ganglion | 1 |
| 13 | Anatomy, Shoulder and Upper Limb, Cubital Fossa | 3 |
| 14 | Anatomy, Thorax, Mammary Gland | 2 |
| 15 | Histology, Thyroid Gland | 19 |
| 16 | 69 | |
| 17 | 234 | |
| 18 | 124 | |
| 19 | 68 | |
| 20 | 1 |
About Yusuf S. Khan
Yusuf S. Khan is a scholar working on Health Informatics, Cancer Research and Biological Psychiatry, having authored 38 papers that have together received 958 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), MicroRNA in disease regulation (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Biological Psychiatry (125 citations), Cellular and Molecular Neuroscience (693 citations) and Behavioral Neuroscience (77 citations). Yusuf S. Khan has collaborated with scholars based in Saudi Arabia, United States and India. Frequent co-authors include Stephen L. Vincent, Francine M. Beneš, Aisha Farhana, Raymond Molloy, Mark S. Todtenkopf, Zafar Rasheed, Abdullah Alsrhani, John Williams, William Ho and Muhammad Ikram Ullah. Their work appears in journals such as Journal of Neuroscience, Brain Research and International Journal of Molecular Sciences.
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.