Rupamanjari Majumder
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- Neuroscience and Neural Engineering 12
- Photoreceptor and optogenetics research 11
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- Cardiac electrophysiology and arrhythmias 16
- Cardiovascular Effects of Exercise 4
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- Neural dynamics and brain function 7
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- Nonlinear Dynamics and Pattern Formation 4
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- Ion channel regulation and function 10
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- Molecular Communication and Nanonetworks 2
- Co-authors
- Rahul PanditAlexander V. PanfilovDaniël A. PijnappelsAntoine A.F. de VriesStefan LutherV. S. ZykovMartin J. SchalijDirk L. Ypey
- Cited by
- Cellular and Molecular NeuroscienceCardiology and Cardiovascular MedicineCognitive Neuroscience
- Journals
- Physical Review Letters (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)
- 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
- Cognitive Neuroscience 103
- Statistical and Nonlinear Physics 43
- 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
The 25 scholars most cited alongside Rupamanjari Majumder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 35 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 4 | |
| 14 | 2018 | 50 | |
| 15 | 2016 | 23 | |
| 16 | 2016 | 10 | |
| 17 | 2016 | 3 | |
| 18 | 2015 | 4 | |
| 19 | 2012 | 0 | |
| 20 | 2011 | 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), Photoreceptor and optogenetics research (11 papers), Ion channel regulation and function (10 papers), Neural dynamics and brain function (7 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Cardiovascular Effects of Exercise (4 papers) and Molecular Communication and Nanonetworks (2 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.