Maya Guncheva
Impact in
- Catalysis top 10%
- Ionic liquids properties and applications
- Filtration and Separation top 10%
Papers in
-
- Enzyme Catalysis and Immobilization 13
- Microbial Metabolic Engineering and Bioproduction 5
-
- Surfactants and Colloidal Systems 4
- Co-authors
- Denitsa Yancheva (18 shared papers)Svetla Todinova (14 shared papers)Ewa Janus (11 shared papers)Margarita Kambourova (4 shared papers)Momtchil Dimitrov (6 shared papers)Paula Ossowicz‐Rupniewska (12 shared papers)Veselina Uzunova (4 shared papers)Joanna Klebeko (6 shared papers)
In The Last Decade
Maya Guncheva
49 papers receiving 607 citations
Peers
Comparison fields: 5 of 87
- Catalysis 120
- Filtration and Separation 20
- Molecular Biology 367
- Pharmaceutical Science 28
- Spectroscopy 70
Countries citing papers authored by Maya Guncheva
This map shows the geographic impact of Maya Guncheva'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 Maya Guncheva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Guncheva more than expected).
Fields of papers citing papers by Maya Guncheva
This network shows the impact of papers produced by Maya Guncheva. 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 Maya Guncheva. The network helps show where Maya Guncheva may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Guncheva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 130 | |
| 2 | 2019 | 38 | |
| 3 | 2021 | 37 | |
| 4 | 2016 | 30 | |
| 5 | 2007 | 30 | |
| 6 | 2007 | 25 | |
| 7 | 2019 | 24 | |
| 8 | 2011 | 24 | |
| 9 | 2015 | 20 | |
| 10 | 2014 | 16 | |
| 11 | 2009 | 15 | |
| 12 | 2007 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2015 | 14 | |
| 15 | 2011 | 13 | |
| 16 | 2015 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2004 | 10 | |
| 20 | 2022 | 7 |
About Maya Guncheva
Maya Guncheva is a scholar working on Molecular Biology, Organic Chemistry, Catalysis, Electrical and Electronic Engineering and Spectroscopy, having authored 51 papers that have together received 619 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (13 papers), Ionic liquids properties and applications (9 papers), Analytical Chemistry and Chromatography (8 papers), Electrochemical sensors and biosensors (8 papers), Bioactive Compounds and Antitumor Agents (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Surfactants and Colloidal Systems (4 papers) and Invertebrate Immune Response Mechanisms (4 papers). The work is most often cited by research in Catalysis (120 citations), Filtration and Separation (20 citations), Molecular Biology (367 citations), Pharmaceutical Science (28 citations) and Spectroscopy (70 citations). Maya Guncheva has collaborated with scholars based in Bulgaria, Poland and Germany. Frequent co-authors include Denitsa Yancheva, Svetla Todinova, Ewa Janus, Margarita Kambourova, Momtchil Dimitrov, Paula Ossowicz‐Rupniewska, Veselina Uzunova, Joanna Klebeko, Krassimira Idakieva and Boris Galunsky. Their work appears in journals such as Journal of Molecular Catalysis B Enzymatic, Molecules, Journal of Thermal Analysis and Calorimetry, Journal of Molecular Liquids and Applied Sciences.
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.