Neeraj Jain
- Cognitive Neuroscience top 2%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 2%
- Pathology and Forensic Medicine top 5%
- Biomedical Engineering top 10%
- Co-authors
- Jon H. KaasSherre L. FlorenceHui‐Xin QiKenneth C. CataniaJ. H. KaasNiranjan A. KambiDavid C. LyonChristine E. Collins
- Topics
- Neural dynamics and brain function (17 papers)Transcranial Magnetic Stimulation Studies (17 papers)Visual perception and processing mechanisms (9 papers)
- Partner nations
- IndiaUnited StatesBrazil
In The Last Decade
Neeraj Jain
55 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 1.0k
- Neurology 710
- Cellular and Molecular Neuroscience 669
- Pathology and Forensic Medicine 313
- Biomedical Engineering 266
Countries citing papers authored by Neeraj Jain
This map shows the geographic impact of Neeraj Jain'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 Neeraj Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeraj Jain more than expected).
Fields of papers citing papers by Neeraj Jain
This network shows the impact of papers produced by Neeraj Jain. 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 Neeraj Jain. The network helps show where Neeraj Jain may publish in the future.
Co-authorship network of co-authors of Neeraj Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Jain. A scholar is included among the top collaborators of Neeraj Jain 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 Neeraj Jain. Neeraj Jain 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 | 2 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 30 | |
| 7 | 83 | |
| 8 | 16 | |
| 9 | 19 | |
| 10 | VLSI Design and Optimized Implementation of a MIPS RISC Processor using XILINX Tool | 3 |
| 11 | 1 | |
| 12 | 72 | |
| 13 | 67 | |
| 14 | 4 | |
| 15 | Reorganization of somatosensory cortical area 3b following early postnatal dorsal column lesions in macaque monkeys | 4 |
| 16 | 88 | |
| 17 | 55 | |
| 18 | 58 | |
| 19 | 10 | |
| 20 | 26 |
About Neeraj Jain
Neeraj Jain is a scholar working on Neurology, Cognitive Neuroscience and Anesthesiology and Pain Medicine, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Transcranial Magnetic Stimulation Studies (17 papers) and Visual perception and processing mechanisms (9 papers). The work is most often cited by research in Neurology (710 citations), Cognitive Neuroscience (1.0k citations) and Cellular and Molecular Neuroscience (669 citations). Neeraj Jain has collaborated with scholars based in India, United States and Brazil. Frequent co-authors include Jon H. Kaas, Sherre L. Florence, Hui‐Xin Qi, Kenneth C. Catania, J. H. Kaas, Niranjan A. Kambi, David C. Lyon, Christine E. Collins, Prem Chand and Todd M. Preuss. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.