Elena Nikonova
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Allan I PackRaymond J. GalanteJacqueline CaterMaria L. SpletterMicah RomerLin ZhangJulian Alexander ZimmermannNirinjini Naidoo
- Topics
- RNA Research and Splicing (7 papers)Muscle Physiology and Disorders (6 papers)Sleep and Wakefulness Research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Elena Nikonova
19 papers receiving 450 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 182
- Endocrine and Autonomic Systems 124
- Cognitive Neuroscience 119
- Experimental and Cognitive Psychology 84
- Cellular and Molecular Neuroscience 76
Countries citing papers authored by Elena Nikonova
This map shows the geographic impact of Elena Nikonova'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 Elena Nikonova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Nikonova more than expected).
Fields of papers citing papers by Elena Nikonova
This network shows the impact of papers produced by Elena Nikonova. 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 Elena Nikonova. The network helps show where Elena Nikonova may publish in the future.
Co-authorship network of co-authors of Elena Nikonova
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Nikonova. A scholar is included among the top collaborators of Elena Nikonova 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 Elena Nikonova. Elena Nikonova 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 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 34 | |
| 6 | 40 | |
| 7 | 9 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 58 | |
| 12 | 13 | |
| 13 | 12 | |
| 14 | 54 | |
| 15 | 4 | |
| 16 | 54 | |
| 17 | 36 | |
| 18 | 47 | |
| 19 | 45 |
About Elena Nikonova
Elena Nikonova is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 19 papers that have together received 452 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Muscle Physiology and Disorders (6 papers) and Sleep and Wakefulness Research (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (124 citations), Physiology (40 citations) and Experimental and Cognitive Psychology (84 citations). Elena Nikonova has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Allan I Pack, Raymond J. Galante, Jacqueline Cater, Maria L. Spletter, Micah Romer, Lin Zhang, Julian Alexander Zimmermann, Nirinjini Naidoo, David J. Stone and Alexei A. Podtelezhnikov. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics 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.