Labchan Rajbhandari
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Epidemiology
- Biomedical Engineering
- Neurology top 10%
- Co-authors
- Arun VenkatesanSuneil HosmaneMillion Adane TegengeNitish V. ThakorTomohiko SadaokaNishant Ganesh KumarJeffrey I. CohenAditya Mithal
- Topics
- Herpesvirus Infections and Treatments (6 papers)Nerve injury and regeneration (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Labchan Rajbhandari
21 papers receiving 766 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 213
- Cellular and Molecular Neuroscience 187
- Epidemiology 179
- Biomedical Engineering 133
- Neurology 131
Countries citing papers authored by Labchan Rajbhandari
This map shows the geographic impact of Labchan Rajbhandari'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 Labchan Rajbhandari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Labchan Rajbhandari more than expected).
Fields of papers citing papers by Labchan Rajbhandari
This network shows the impact of papers produced by Labchan Rajbhandari. 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 Labchan Rajbhandari. The network helps show where Labchan Rajbhandari may publish in the future.
Co-authorship network of co-authors of Labchan Rajbhandari
This figure shows the co-authorship network connecting the top 25 collaborators of Labchan Rajbhandari. A scholar is included among the top collaborators of Labchan Rajbhandari 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 Labchan Rajbhandari. Labchan Rajbhandari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 41 | |
| 5 | 12 | |
| 6 | 24 | |
| 7 | 28 | |
| 8 | 5 | |
| 9 | 32 | |
| 10 | 31 | |
| 11 | 15 | |
| 12 | 151 | |
| 13 | 56 | |
| 14 | 18 | |
| 15 | 56 | |
| 16 | 64 | |
| 17 | 17 | |
| 18 | 79 | |
| 19 | 75 | |
| 20 | 44 |
About Labchan Rajbhandari
Labchan Rajbhandari is a scholar working on Developmental Neuroscience, Parasitology and Neurology, having authored 21 papers that have together received 776 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), Nerve injury and regeneration (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Developmental Neuroscience (66 citations), Neurology (131 citations) and Cellular and Molecular Neuroscience (187 citations). Labchan Rajbhandari has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Arun Venkatesan, Suneil Hosmane, Million Adane Tegenge, Nitish V. Thakor, Tomohiko Sadaoka, Nishant Ganesh Kumar, Jeffrey I. Cohen, Aditya Mithal, K.T. Ramesh and Qian Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of 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.