Galya Vassileva
- Molecular Biology top 1%
- Oncology top 2%
- Immunology top 2%
- Genetics top 2%
- Surgery top 5%
- Co-authors
- Andrew P. McMahonKevin L. StarkMartin J. SheaBrian A. ParrSeppo VainioJoseph A. HedrickEric L. GustafsonSérgio A. Lira
- Topics
- Chemokine receptors and signaling (9 papers)Immunotherapy and Immune Responses (6 papers)Neuropeptides and Animal Physiology (6 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Galya Vassileva
37 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 4.0k
- Oncology 1.1k
- Immunology 1.0k
- Genetics 987
- Surgery 888
Countries citing papers authored by Galya Vassileva
This map shows the geographic impact of Galya Vassileva'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 Galya Vassileva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galya Vassileva more than expected).
Fields of papers citing papers by Galya Vassileva
This network shows the impact of papers produced by Galya Vassileva. 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 Galya Vassileva. The network helps show where Galya Vassileva may publish in the future.
Co-authorship network of co-authors of Galya Vassileva
This figure shows the co-authorship network connecting the top 25 collaborators of Galya Vassileva. A scholar is included among the top collaborators of Galya Vassileva 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 Galya Vassileva. Galya Vassileva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 96 | |
| 3 | 104 | |
| 4 | 291 | |
| 5 | 8 | |
| 6 | 16 | |
| 7 | 171 | |
| 8 | 52 | |
| 9 | 59 | |
| 10 | 73 | |
| 11 | 34 | |
| 12 | 141 | |
| 13 | The KiSS-1 receptor GPR54 is essential for the development of the murine reproductive systembreakdown → | 542 |
| 14 | 162 | |
| 15 | 63 | |
| 16 | 184 | |
| 17 | 36 | |
| 18 | 24 | |
| 19 | 495 | |
| 20 | Epithelial transformation of metanephric mesenchyme in the developing kidney regulated by Wnt-4breakdown → | 852 |
About Galya Vassileva
Galya Vassileva is a scholar working on Immunology, Oncology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 6.5k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (9 papers), Immunotherapy and Immune Responses (6 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Developmental Neuroscience (393 citations), Reproductive Medicine (616 citations) and Molecular Biology (4.0k citations). Galya Vassileva has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Andrew P. McMahon, Kevin L. Stark, Martin J. Shea, Brian A. Parr, Seppo Vainio, Joseph A. Hedrick, Eric L. Gustafson, Sérgio A. Lira, Andrew P. McMahon and Shinji Takada. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.