Elena V. Romanova
- Spectroscopy top 1%
- Mass Spectrometry Techniques and Applications 23
- Advanced Proteomics Techniques and Applications 17
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- Neuropeptides and Animal Physiology 14
- Neurobiology and Insect Physiology Research 12
- Neurotransmitter Receptor Influence on Behavior 6
- Neuroscience and Neuropharmacology Research 6
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 11
- Biophysics top 5%
- Endocrine and Autonomic Systems top 10%
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- Physiological and biochemical adaptations 6
- Co-authors
- Jonathan V. SweedlerStanislav S. RubakhinPéter NemesKlaudiusz R. WeissLingjun LiXiaowen HouLu BaiJames J. Collins
- Journals
- Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (5 papers)Journal of Neuroscience (2 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Elena V. Romanova
69 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 115
- Spectroscopy 842
- Cellular and Molecular Neuroscience 565
- Molecular Biology 1.2k
- Biophysics 79
- Endocrine and Autonomic Systems 91
Countries citing papers authored by Elena V. Romanova
This map shows the geographic impact of Elena V. Romanova'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 V. Romanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena V. Romanova more than expected).
Fields of papers citing papers by Elena V. Romanova
This network shows the impact of papers produced by Elena V. Romanova. 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 V. Romanova. The network helps show where Elena V. Romanova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elena V. Romanova, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 65 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 3 | |
| 8 | 2018 | 13 | |
| 9 | 2018 | 31 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 16 | |
| 12 | 2013 | 28 | |
| 13 | 2013 | 15 | |
| 14 | 2011 | 289 | |
| 15 | 2011 | 63 | |
| 16 | 2010 | 41 | |
| 17 | 2010 | 43 | |
| 18 | 2007 | 12 | |
| 19 | 2005 | 29 | |
| 20 | 2003 | 24 |
About Elena V. Romanova
Elena V. Romanova is a scholar working on Cellular and Molecular Neuroscience, Spectroscopy and Biological Psychiatry, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (23 papers), Advanced Proteomics Techniques and Applications (17 papers), Neuropeptides and Animal Physiology (14 papers), Neurobiology and Insect Physiology Research (12 papers), Receptor Mechanisms and Signaling (11 papers), Physiological and biochemical adaptations (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Spectroscopy (842 citations), Cellular and Molecular Neuroscience (565 citations) and Molecular Biology (1.2k citations). Elena V. Romanova has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Jonathan V. Sweedler, Stanislav S. Rubakhin, Péter Nemes, Klaudiusz R. Weiss, Lingjun Li, Xiaowen Hou, Lu Bai, James J. Collins, Phillip A. Newmark and Jian Jing. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Neuroscience.
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.