Galya Ivanova
- Organic Chemistry top 5%
- Molecular Biology
- Materials Chemistry
- Spectroscopy top 5%
- Polymers and Plastics top 10%
- Co-authors
- Venelin EnchevMaria RangelIvo GrabchevJean‐Marc ChovelonVladimir B. BojinovNadezhda MarkovaTiago PereiraAna Colette Maurício
- Topics
- Synthesis and biological activity (6 papers)Molecular Sensors and Ion Detection (6 papers)Nanoparticle-Based Drug Delivery (6 papers)
- Cited by
- SpectroscopyBiomaterialsBiochemistry
- Partner nations
- BulgariaPortugalUnited Kingdom
In The Last Decade
Galya Ivanova
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 128
- Organic Chemistry 361
- Molecular Biology 358
- Materials Chemistry 296
- Spectroscopy 273
- Polymers and Plastics 183
Countries citing papers authored by Galya Ivanova
This map shows the geographic impact of Galya Ivanova'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 Ivanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galya Ivanova more than expected).
Fields of papers citing papers by Galya Ivanova
This network shows the impact of papers produced by Galya Ivanova. 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 Ivanova. The network helps show where Galya Ivanova may publish in the future.
Co-authorship network of co-authors of Galya Ivanova
This figure shows the co-authorship network connecting the top 25 collaborators of Galya Ivanova. A scholar is included among the top collaborators of Galya Ivanova 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 Ivanova. Galya Ivanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 32 | |
| 3 | 6 | |
| 4 | 23 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 30 | |
| 8 | 11 | |
| 9 | 17 | |
| 10 | Artificial neural networks in metabolomic studies of human lung carcinoma cell lines by in vitro 1H nuclear magnetic resonance of whole cells | 4 |
| 11 | 14 | |
| 12 | 44 | |
| 13 | 13 | |
| 14 | 12 | |
| 15 | 32 | |
| 16 | 29 | |
| 17 | Synthesis, Spectroscopic Characterization and ab initio Investigation of Thioanalogues of Spirohydantoins | 38 |
| 18 | 40 | |
| 19 | 20 | |
| 20 | 37 |
About Galya Ivanova
Galya Ivanova is a scholar working on Spectroscopy, Organic Chemistry and Physical and Theoretical Chemistry, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Synthesis and biological activity (6 papers), Molecular Sensors and Ion Detection (6 papers) and Nanoparticle-Based Drug Delivery (6 papers). The work is most often cited by research in Spectroscopy (273 citations), Biomaterials (182 citations) and Biochemistry (80 citations). Galya Ivanova has collaborated with scholars based in Bulgaria, Portugal and United Kingdom. Frequent co-authors include Venelin Enchev, Maria Rangel, Ivo Grabchev, Jean‐Marc Chovelon, Vladimir B. Bojinov, Nadezhda Markova, Tiago Pereira, Ana Colette Maurício, Ana Rita Caseiro and Ana Lúcia Luís. Their work appears in journals such as PLoS ONE, The Journal of Physical Chemistry B and Chemical Physics Letters.
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.