Zafar U. Khan
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Cognitive Neuroscience top 5%
- Neurology top 2%
- Physiology top 10%
- Co-authors
- Antonia GutiérrezAngel L. De BlasAdélaïda de la CallePatricia S. Goldman‐RakicAlicia RiveraOsama MoselhiE. Chris MulyLadislav Mrzljak
- Topics
- Neuroscience and Neuropharmacology Research (45 papers)Receptor Mechanisms and Signaling (15 papers)Memory and Neural Mechanisms (13 papers)
- Partner nations
- SpainUnited StatesPakistan
In The Last Decade
Zafar U. Khan
87 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Cellular and Molecular Neuroscience 1.7k
- Molecular Biology 1.1k
- Cognitive Neuroscience 602
- Neurology 409
- Physiology 226
Countries citing papers authored by Zafar U. Khan
This map shows the geographic impact of Zafar U. 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 Zafar U. Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zafar U. Khan more than expected).
Fields of papers citing papers by Zafar U. Khan
This network shows the impact of papers produced by Zafar U. 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 Zafar U. Khan. The network helps show where Zafar U. Khan may publish in the future.
Co-authorship network of co-authors of Zafar U. Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Zafar U. Khan. A scholar is included among the top collaborators of Zafar U. 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 Zafar U. Khan. Zafar U. 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 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | 58 | |
| 8 | Neuroprotective agents, Natural Plant Herbs & Drugs in Ischemic Stroke: A Review | 5 |
| 9 | 1 | |
| 10 | Molecular basis of memory | 1 |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 33 | |
| 15 | 63 | |
| 16 | 26 | |
| 17 | 45 | |
| 18 | 3 | |
| 19 | 73 | |
| 20 | Hepatic rough and smooth endoplasmic reticulum membrane lipids and their metabolism in rats fed imbalanced protein diets. | 1 |
About Zafar U. Khan
Zafar U. Khan is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Neurology, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (45 papers), Receptor Mechanisms and Signaling (15 papers) and Memory and Neural Mechanisms (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Neurology (409 citations) and Biological Psychiatry (107 citations). Zafar U. Khan has collaborated with scholars based in Spain, United States and Pakistan. Frequent co-authors include Antonia Gutiérrez, Angel L. De Blas, Adélaïda de la Calle, Patricia S. Goldman‐Rakic, Alicia Rivera, Osama Moselhi, E. Chris Muly, Ladislav Mrzljak, Celia P. Miralles and Javier Vitórica. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.