Shaffiat Karmally
- Cellular and Molecular Neuroscience top 2%
- Neurology top 1%
- Physiology top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Co-authors
- John R. BetheaRoberta BrambillaMary J. EatonBeata R. FrydelValerie Bracchi‐RicardM. MartinezEdward J. GreenDavid E. Szymkowski
- Topics
- Nerve injury and regeneration (7 papers)Pain Mechanisms and Treatments (6 papers)Immune Response and Inflammation (5 papers)
- Partner nations
- United StatesDenmarkRussia
In The Last Decade
Shaffiat Karmally
16 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 688
- Neurology 585
- Physiology 559
- Molecular Biology 463
- Pathology and Forensic Medicine 422
Countries citing papers authored by Shaffiat Karmally
This map shows the geographic impact of Shaffiat Karmally'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 Shaffiat Karmally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaffiat Karmally more than expected).
Fields of papers citing papers by Shaffiat Karmally
This network shows the impact of papers produced by Shaffiat Karmally. 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 Shaffiat Karmally. The network helps show where Shaffiat Karmally may publish in the future.
Co-authorship network of co-authors of Shaffiat Karmally
This figure shows the co-authorship network connecting the top 25 collaborators of Shaffiat Karmally. A scholar is included among the top collaborators of Shaffiat Karmally 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 Shaffiat Karmally. Shaffiat Karmally is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 124 | |
| 3 | 44 | |
| 4 | 21 | |
| 5 | 120 | |
| 6 | 175 | |
| 7 | 221 | |
| 8 | 482 | |
| 9 | 49 | |
| 10 | 33 | |
| 11 | 97 | |
| 12 | 29 | |
| 13 | Lumbar transplant of neurons genetically modified to secrete galanin reverse pain-like behaviors after partial sciatic nerve injury. | 36 |
| 14 | 74 | |
| 15 | 83 | |
| 16 | 154 |
About Shaffiat Karmally
Shaffiat Karmally is a scholar working on Cellular and Molecular Neuroscience, Neurology and Immunology, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nerve injury and regeneration (7 papers), Pain Mechanisms and Treatments (6 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Developmental Neuroscience (301 citations), Neurology (585 citations) and Cellular and Molecular Neuroscience (688 citations). Shaffiat Karmally has collaborated with scholars based in United States, Denmark and Russia. Frequent co-authors include John R. Bethea, Roberta Brambilla, Mary J. Eaton, Beata R. Frydel, Valerie Bracchi‐Ricard, M. Martinez, Edward J. Green, David E. Szymkowski, Kate Lykke Lambertsen and Miguel Ángel González Martínez. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Neuroscience and The Journal of Immunology.
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.