Siba R. Das
- Cognitive Neuroscience top 5%
- Neurology top 5%
- Health, Toxicology and Mutagenesis top 5%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Co-authors
- Alessandro TessitoreVenkata S. MattayFrancesco Saverio FeraD.R. WeinbergerAhmad R. HaririJoseph H. CallicottKathy R. MagnussonRobert L. Tanguay
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Memory and Neural Mechanisms (4 papers)Effects and risks of endocrine disrupting chemicals (2 papers)
- Journals
- Nature CommunicationsJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- United StatesAustraliaCzechia
In The Last Decade
Siba R. Das
17 papers receiving 929 citations
Peers
Comparison fields: 5 of 108
- Cognitive Neuroscience 393
- Neurology 204
- Health, Toxicology and Mutagenesis 182
- Cellular and Molecular Neuroscience 146
- Molecular Biology 111
Countries citing papers authored by Siba R. Das
This map shows the geographic impact of Siba R. Das'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 Siba R. Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siba R. Das more than expected).
Fields of papers citing papers by Siba R. Das
This network shows the impact of papers produced by Siba R. Das. 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 Siba R. Das. The network helps show where Siba R. Das may publish in the future.
Co-authorship network of co-authors of Siba R. Das
This figure shows the co-authorship network connecting the top 25 collaborators of Siba R. Das. A scholar is included among the top collaborators of Siba R. Das 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 Siba R. Das. Siba R. Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 48 | |
| 4 | 3 | |
| 5 | Study on Electrophysiological Findings of Guillain Barre Syndrome Patients Attending the Department of Neurology in BSMMU. | 2 |
| 6 | 13 | |
| 7 | 34 | |
| 8 | 33 | |
| 9 | 19 | |
| 10 | 52 | |
| 11 | 145 | |
| 12 | 8 | |
| 13 | 22 | |
| 14 | 93 | |
| 15 | 19 | |
| 16 | 426 | |
| 17 | Cyclosporine A-induced mammary hyperplasia and hyperprolactinemia in New Zealand White rabbits. | 13 |
| 18 | Glucose-6-phosphate dehydrogenase deficiency in Orissa. | 2 |
About Siba R. Das
Siba R. Das is a scholar working on Neurology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 935 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (4 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Neurology (204 citations), Cognitive Neuroscience (393 citations) and Health, Toxicology and Mutagenesis (182 citations). Siba R. Das has collaborated with scholars based in United States, Australia and Czechia. Frequent co-authors include Alessandro Tessitore, Venkata S. Mattay, Francesco Saverio Fera, D.R. Weinberger, Ahmad R. Hariri, Joseph H. Callicott, Kathy R. Magnusson, Robert L. Tanguay, Daniel N. Weber and Katerine S. Saili. Their work appears in journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.