Piyush Karande
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Materials Chemistry
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- T. Yong-Jin HanDoris LamHeather A. EnrightDavid A. SosciaElizabeth K. WheelerNicholas O. FischerSandra K. G. PetersAna Paula Sales
- Topics
- Neuroscience and Neural Engineering (4 papers)Computational Drug Discovery Methods (3 papers)Neural dynamics and brain function (2 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceComputational Theory and Mathematics
- Partner nations
- United StatesIcelandIndia
In The Last Decade
Piyush Karande
12 papers receiving 305 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 137
- Biomedical Engineering 91
- Materials Chemistry 75
- Electrical and Electronic Engineering 62
- Molecular Biology 50
Countries citing papers authored by Piyush Karande
This map shows the geographic impact of Piyush Karande'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 Piyush Karande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piyush Karande more than expected).
Fields of papers citing papers by Piyush Karande
This network shows the impact of papers produced by Piyush Karande. 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 Piyush Karande. The network helps show where Piyush Karande may publish in the future.
Co-authorship network of co-authors of Piyush Karande
This figure shows the co-authorship network connecting the top 25 collaborators of Piyush Karande. A scholar is included among the top collaborators of Piyush Karande 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 Piyush Karande. Piyush Karande is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 34 | |
| 7 | 24 | |
| 8 | 52 | |
| 9 | 6 | |
| 10 | 140 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 21 |
About Piyush Karande
Piyush Karande is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 311 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Computational Drug Discovery Methods (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (137 citations), Cognitive Neuroscience (49 citations) and Computational Theory and Mathematics (37 citations). Piyush Karande has collaborated with scholars based in United States, Iceland and India. Frequent co-authors include T. Yong-Jin Han, Doris Lam, Heather A. Enright, David A. Soscia, Elizabeth K. Wheeler, Nicholas O. Fischer, Sandra K. G. Peters, Ana Paula Sales, Angela Tooker and Brian Gallagher. Their work appears in journals such as Chemistry of Materials, Lab on a Chip and Journal of Chemical Information and Modeling.
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.