Kishan Gupta
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Ophthalmology top 5%
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Co-authors
- Michael E. HasselmoChristopher LibbyMark P. BrandonMichael ConnerneyAndrew BogaardHugh T. BlairKechen ZhangJason R. Climer
- Topics
- Memory and Neural Mechanisms (6 papers)Neuroscience and Neuropharmacology Research (5 papers)Glaucoma and retinal disorders (4 papers)
- Journals
- ScienceNeuroscienceOphthalmology
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Kishan Gupta
20 papers receiving 712 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 493
- Cellular and Molecular Neuroscience 423
- Ophthalmology 110
- Radiology, Nuclear Medicine and Imaging 76
- Molecular Biology 67
Countries citing papers authored by Kishan Gupta
This map shows the geographic impact of Kishan Gupta'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 Kishan Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kishan Gupta more than expected).
Fields of papers citing papers by Kishan Gupta
This network shows the impact of papers produced by Kishan Gupta. 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 Kishan Gupta. The network helps show where Kishan Gupta may publish in the future.
Co-authorship network of co-authors of Kishan Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Kishan Gupta. A scholar is included among the top collaborators of Kishan Gupta 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 Kishan Gupta. Kishan Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | 12 | |
| 9 | Plant Disease Prediction using Deep Learning and IoT | 4 |
| 10 | 11 | |
| 11 | 8 | |
| 12 | Variant Lattice Corneal Dystrophy Associated with Compound Heterozygous Mutations in the TGFBI Gene | 1 |
| 13 | 0 | |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 132 | |
| 17 | 12 | |
| 18 | 6 | |
| 19 | 104 | |
| 20 | 2 |
About Kishan Gupta
Kishan Gupta is a scholar working on Ophthalmology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 733 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Glaucoma and retinal disorders (4 papers). The work is most often cited by research in Cognitive Neuroscience (493 citations), Cellular and Molecular Neuroscience (423 citations) and Ophthalmology (110 citations). Kishan Gupta has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Michael E. Hasselmo, Christopher Libby, Mark P. Brandon, Michael Connerney, Andrew Bogaard, Hugh T. Blair, Kechen Zhang, Jason R. Climer, Ehren L. Newman and Caitlin Monaghan. Their work appears in journals such as Science, Neuroscience and Ophthalmology.
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.