Sheeja Navakkode
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Physiology
- Neurology top 5%
- Co-authors
- Sreedharan SajikumarJulietta U. FreyMartin KörteTuck Wah SoongChao LiuBrian K. KennedyQin LiTodd Charlton Sacktor
- Topics
- Neuroscience and Neuropharmacology Research (19 papers)Alzheimer's disease research and treatments (7 papers)Receptor Mechanisms and Signaling (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Physiology
- Partner nations
- SingaporeGermanyUnited States
In The Last Decade
Sheeja Navakkode
25 papers receiving 943 citations
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 666
- Cognitive Neuroscience 413
- Molecular Biology 383
- Physiology 149
- Neurology 148
Countries citing papers authored by Sheeja Navakkode
This map shows the geographic impact of Sheeja Navakkode'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 Sheeja Navakkode with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheeja Navakkode more than expected).
Fields of papers citing papers by Sheeja Navakkode
This network shows the impact of papers produced by Sheeja Navakkode. 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 Sheeja Navakkode. The network helps show where Sheeja Navakkode may publish in the future.
Co-authorship network of co-authors of Sheeja Navakkode
This figure shows the co-authorship network connecting the top 25 collaborators of Sheeja Navakkode. A scholar is included among the top collaborators of Sheeja Navakkode 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 Sheeja Navakkode. Sheeja Navakkode 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 | 1 | |
| 3 | 16 | |
| 4 | 6 | |
| 5 | 36 | |
| 6 | 13 | |
| 7 | 28 | |
| 8 | 12 | |
| 9 | 25 | |
| 10 | 43 | |
| 11 | 28 | |
| 12 | 20 | |
| 13 | 42 | |
| 14 | 39 | |
| 15 | 31 | |
| 16 | 21 | |
| 17 | 153 | |
| 18 | 114 | |
| 19 | 86 | |
| 20 | 53 |
About Sheeja Navakkode
Sheeja Navakkode is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Biological Psychiatry, having authored 26 papers that have together received 951 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Alzheimer's disease research and treatments (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (666 citations), Cognitive Neuroscience (413 citations) and Biological Psychiatry (53 citations). Sheeja Navakkode has collaborated with scholars based in Singapore, Germany and United States. Frequent co-authors include Sreedharan Sajikumar, Julietta U. Frey, Martin Körte, Tuck Wah Soong, Chao Liu, Brian K. Kennedy, Qin Li, Todd Charlton Sacktor, Martin Rothkegel and Jing Zhai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Physiology.
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.