Talat Khan
- Cellular and Molecular Neuroscience top 5%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Developmental Neuroscience top 5%
- Surgery
- Co-authors
- Scott SayersJoseph J. PyshJane OvertonTodd J. BrownKathryn J. JonesNeelima B. ChauhanAvinash G. PatwardhanRobert M. Havey
- Topics
- Nerve injury and regeneration (10 papers)Spinal Cord Injury Research (9 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)
- Cited by
- Developmental NeuroscienceCellular and Molecular NeurosciencePathology and Forensic Medicine
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Talat Khan
23 papers receiving 489 citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 274
- Pathology and Forensic Medicine 152
- Molecular Biology 133
- Developmental Neuroscience 99
- Surgery 80
Countries citing papers authored by Talat Khan
This map shows the geographic impact of Talat 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 Talat Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Talat Khan more than expected).
Fields of papers citing papers by Talat Khan
This network shows the impact of papers produced by Talat 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 Talat Khan. The network helps show where Talat Khan may publish in the future.
Co-authorship network of co-authors of Talat Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Talat Khan. A scholar is included among the top collaborators of Talat 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 Talat Khan. Talat 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 | 70 | |
| 2 | 14 | |
| 3 | Preliminary study of a genetically engineered spinal cord implant on urinary bladder after experimental spinal cord injury in rats. | 10 |
| 4 | 29 | |
| 5 | 34 | |
| 6 | 21 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 43 | |
| 16 | 9 | |
| 17 | 15 | |
| 18 | 13 | |
| 19 | 58 | |
| 20 | 35 |
About Talat Khan
Talat Khan is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 23 papers that have together received 508 indexed citations. Recurring topics across this work include Nerve injury and regeneration (10 papers), Spinal Cord Injury Research (9 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (99 citations), Cellular and Molecular Neuroscience (274 citations) and Pathology and Forensic Medicine (152 citations). Talat Khan has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Scott Sayers, Joseph J. Pysh, Jane Overton, Todd J. Brown, Kathryn J. Jones, Neelima B. Chauhan, Avinash G. Patwardhan, Robert M. Havey, William King and Mohit Arora. Their work appears in journals such as The Journal of Cell Biology, Brain Research and Experimental Neurology.
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.