Niraj S. Desai
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 13
- Neuroscience and Neural Engineering 7
- Photoreceptor and optogenetics research 2
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 12
- EEG and Brain-Computer Interfaces 2
- Memory and Neural Mechanisms 2
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 2
- Neurology top 2%
- Sensory Systems top 2%
-
- Advanced Memory and Neural Computing 2
- Co-authors
- Gina G. TurrigianoSacha B. NelsonEugene M. IzhikevichElisabeth C. WalcottFrank C. HoppensteadtRobert H. CudmorePeter W. VanderklishDaniel Johnston
- Partner nations
- United StatesChinaSpain
In The Last Decade
Niraj S. Desai
18 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 3.0k
- Cognitive Neuroscience 2.5k
- Developmental Neuroscience 254
- Neurology 385
- Sensory Systems 167
Countries citing papers authored by Niraj S. Desai
This map shows the geographic impact of Niraj S. Desai'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 Niraj S. Desai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niraj S. Desai more than expected).
Fields of papers citing papers by Niraj S. Desai
This network shows the impact of papers produced by Niraj S. Desai. 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 Niraj S. Desai. The network helps show where Niraj S. Desai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Niraj S. Desai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2017 | 18 | |
| 5 | 2015 | 48 | |
| 6 | 2015 | 26 | |
| 7 | 2011 | 36 | |
| 8 | 2010 | 13 | |
| 9 | 2006 | 27 | |
| 10 | 2006 | 94 | |
| 11 | 2003 | 475 | |
| 12 | 2003 | 117 | |
| 13 | 2003 | 226 | |
| 14 | 2002 | 462 | |
| 15 | Plasticity in the intrinsic excitability of cortical pyramidal neuronsbreakdown → | 1999 | 601 |
| 16 | 1999 | 11 | |
| 17 | 1999 | 164 | |
| 18 | Activity-dependent scaling of quantal amplitude in neocortical neuronsbreakdown → | 1998 | 1696 |
About Niraj S. Desai
Niraj S. Desai is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 18 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Neural dynamics and brain function (12 papers), Neuroscience and Neural Engineering (7 papers), Photoreceptor and optogenetics research (2 papers), EEG and Brain-Computer Interfaces (2 papers), Advanced Memory and Neural Computing (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.0k citations), Cognitive Neuroscience (2.5k citations) and Developmental Neuroscience (254 citations). Niraj S. Desai has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Gina G. Turrigiano, Sacha B. Nelson, Eugene M. Izhikevich, Elisabeth C. Walcott, Frank C. Hoppensteadt, Robert H. Cudmore, Peter W. Vanderklish, Daniel Johnston, R. G. F. Gray and Emily A. Higgins. Their work appears in journals such as Nature, Journal of Neuroscience and Nature Neuroscience.
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.