Rupamanjari Majumder
- Cellular and Molecular Neuroscience top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cognitive Neuroscience
- Computer Networks and Communications top 10%
- Co-authors
- Rahul PanditAlexander V. PanfilovDaniël A. PijnappelsAntoine A.F. de VriesStefan LutherV. S. ZykovMartin J. SchalijDirk L. Ypey
- Topics
- Cardiac electrophysiology and arrhythmias (16 papers)Neuroscience and Neural Engineering (12 papers)Photoreceptor and optogenetics research (11 papers)
- Cited by
- Cellular and Molecular NeuroscienceCardiology and Cardiovascular MedicineCognitive Neuroscience
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- GermanyNetherlandsBelgium
In The Last Decade
Rupamanjari Majumder
25 papers receiving 372 citations
Peers
Comparison fields: 5 of 54
- Cellular and Molecular Neuroscience 195
- Cardiology and Cardiovascular Medicine 163
- Molecular Biology 116
- Cognitive Neuroscience 103
- Computer Networks and Communications 78
Countries citing papers authored by Rupamanjari Majumder
This map shows the geographic impact of Rupamanjari Majumder'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 Rupamanjari Majumder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupamanjari Majumder more than expected).
Fields of papers citing papers by Rupamanjari Majumder
This network shows the impact of papers produced by Rupamanjari Majumder. 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 Rupamanjari Majumder. The network helps show where Rupamanjari Majumder may publish in the future.
Co-authorship network of co-authors of Rupamanjari Majumder
This figure shows the co-authorship network connecting the top 25 collaborators of Rupamanjari Majumder. A scholar is included among the top collaborators of Rupamanjari Majumder 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 Rupamanjari Majumder. Rupamanjari Majumder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 35 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 50 | |
| 15 | 23 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 0 | |
| 20 | 29 |
About Rupamanjari Majumder
Rupamanjari Majumder is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 26 papers that have together received 374 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (16 papers), Neuroscience and Neural Engineering (12 papers) and Photoreceptor and optogenetics research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (195 citations), Cardiology and Cardiovascular Medicine (163 citations) and Cognitive Neuroscience (103 citations). Rupamanjari Majumder has collaborated with scholars based in Germany, Netherlands and Belgium. Frequent co-authors include Rahul Pandit, Alexander V. Panfilov, Daniël A. Pijnappels, Antoine A.F. de Vries, Stefan Luther, V. S. Zykov, Martin J. Schalij, Dirk L. Ypey, Claudia Richter and Linda Volkers. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.
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.