Arjun Khanna
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Neurology top 10%
- Surgery
- Co-authors
- Kristopher T. KahleJinwei ZhangBrian P. WalcottDario R. AlessiThomas HochdörferYuze ShangEric DelpireMasoud Shekarabi
- Topics
- Neuroscience and Neuropharmacology Research (6 papers)Ion Transport and Channel Regulation (6 papers)Ion channel regulation and function (6 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaNature Neuroscience
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Arjun Khanna
22 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 496
- Cellular and Molecular Neuroscience 372
- Cognitive Neuroscience 160
- Neurology 101
- Surgery 100
Countries citing papers authored by Arjun Khanna
This map shows the geographic impact of Arjun Khanna'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 Arjun Khanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Khanna more than expected).
Fields of papers citing papers by Arjun Khanna
This network shows the impact of papers produced by Arjun Khanna. 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 Arjun Khanna. The network helps show where Arjun Khanna may publish in the future.
Co-authorship network of co-authors of Arjun Khanna
This figure shows the co-authorship network connecting the top 25 collaborators of Arjun Khanna. A scholar is included among the top collaborators of Arjun Khanna 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 Arjun Khanna. Arjun Khanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 23 | |
| 3 | 0 | |
| 4 | Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortexbreakdown → | 137 |
| 5 | 1 | |
| 6 | 154 | |
| 7 | 29 | |
| 8 | 34 | |
| 9 | 52 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 22 | |
| 13 | 91 | |
| 14 | 1 | |
| 15 | 20 | |
| 16 | 30 | |
| 17 | 50 | |
| 18 | 26 | |
| 19 | 20 | |
| 20 | 68 |
About Arjun Khanna
Arjun Khanna is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cognitive Neuroscience, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Ion Transport and Channel Regulation (6 papers) and Ion channel regulation and function (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (372 citations), Neurology (70 citations) and Cognitive Neuroscience (160 citations). Arjun Khanna has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Kristopher T. Kahle, Jinwei Zhang, Brian P. Walcott, Dario R. Alessi, Thomas Hochdörfer, Yuze Shang, Eric Delpire, Masoud Shekarabi, David H. Ellison and J. Marc Simard. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología 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.