Eugenia Kuteeva
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Surgery
- Endocrine and Autonomic Systems top 5%
- Behavioral Neuroscience top 5%
- Co-authors
- Tomas HökfeltSven Ove ÖgrenJán KehrE. Elvander-TottieElvar TheodorssonÜlo LangelUlla SollenbergKristina Holmberg
- Topics
- Neuropeptides and Animal Physiology (24 papers)Receptor Mechanisms and Signaling (17 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers)
- Journals
- Proceedings of the National Academy of SciencesAmerican Journal of PsychiatryThe Journal of Comparative Neurology
- Partner nations
- SwedenUnited StatesItaly
In The Last Decade
Eugenia Kuteeva
28 papers receiving 917 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 695
- Molecular Biology 516
- Surgery 216
- Endocrine and Autonomic Systems 127
- Behavioral Neuroscience 121
Countries citing papers authored by Eugenia Kuteeva
This map shows the geographic impact of Eugenia Kuteeva'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 Eugenia Kuteeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenia Kuteeva more than expected).
Fields of papers citing papers by Eugenia Kuteeva
This network shows the impact of papers produced by Eugenia Kuteeva. 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 Eugenia Kuteeva. The network helps show where Eugenia Kuteeva may publish in the future.
Co-authorship network of co-authors of Eugenia Kuteeva
This figure shows the co-authorship network connecting the top 25 collaborators of Eugenia Kuteeva. A scholar is included among the top collaborators of Eugenia Kuteeva 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 Eugenia Kuteeva. Eugenia Kuteeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 83 | |
| 3 | 13 | |
| 4 | 25 | |
| 5 | 45 | |
| 6 | 84 | |
| 7 | 68 | |
| 8 | 15 | |
| 9 | 95 | |
| 10 | 30 | |
| 11 | 2 | |
| 12 | 51 | |
| 13 | 20 | |
| 14 | 11 | |
| 15 | 16 | |
| 16 | 6 | |
| 17 | 35 | |
| 18 | 9 | |
| 19 | 37 | |
| 20 | 29 |
About Eugenia Kuteeva
Eugenia Kuteeva is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Surgery, having authored 29 papers that have together received 924 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (24 papers), Receptor Mechanisms and Signaling (17 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (695 citations), Behavioral Neuroscience (121 citations) and Endocrine and Autonomic Systems (127 citations). Eugenia Kuteeva has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Tomas Hökfelt, Sven Ove Ögren, Ján Kehr, E. Elvander-Tottie, Elvar Theodorsson, Ülo Langel, Ulla Sollenberg, Kristina Holmberg, Linda Lundström and Tamás Bartfai. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Journal of Psychiatry and The Journal of Comparative Neurology.
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.