Sheeja Navakkode
Impact in
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- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neuropharmacology Research 19
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- Receptor Mechanisms and Signaling 7
- Phosphodiesterase function and regulation 3
- Co-authors
- Sreedharan Sajikumar (19 shared papers)Julietta U. Frey (9 shared papers)Martin Körte (4 shared papers)Tuck Wah Soong (6 shared papers)Chao Liu (1 shared paper)Brian K. Kennedy (2 shared papers)Martin Rothkegel (1 shared paper)Jing Zhai (2 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Learning & Memory (3 papers)Aging Cell (3 papers)Hippocampus (3 papers)Current Opinion in Neurobiology (2 papers)
- 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
- Biological Psychiatry 53
- Neurology 148
- Developmental Neuroscience 55
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-authors
The 25 scholars most cited alongside Sheeja Navakkode, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 153 | |
| 2 | 2007 | 114 | |
| 3 | 2004 | 90 | |
| 4 | 2005 | 86 | |
| 5 | 2005 | 53 | |
| 6 | 2017 | 49 | |
| 7 | 2018 | 43 | |
| 8 | 2012 | 42 | |
| 9 | 2011 | 39 | |
| 10 | 2022 | 36 | |
| 11 | 2010 | 31 | |
| 12 | 2017 | 28 | |
| 13 | 2022 | 28 | |
| 14 | 2021 | 25 | |
| 15 | 2008 | 21 | |
| 16 | 2014 | 20 | |
| 17 | 2007 | 18 | |
| 18 | 2024 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2022 | 13 |
About Sheeja Navakkode
Sheeja Navakkode is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Pharmacology, 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), Receptor Mechanisms and Signaling (7 papers), Memory and Neural Mechanisms (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Phosphodiesterase function and regulation (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (666 citations), Cognitive Neuroscience (413 citations), Biological Psychiatry (53 citations), Neurology (148 citations) and Developmental Neuroscience (55 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, Martin Rothkegel, Jing Zhai, Todd Charlton Sacktor and Qin Li. Their work appears in journals such as Journal of Neuroscience, Learning & Memory, Aging Cell, Hippocampus and Current Opinion in Neurobiology.
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.