Maya Mincheva
Impact in
- Modeling and Simulation top 10%
-
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
Papers in
-
- Gene Regulatory Network Analysis 18
- Protein Structure and Dynamics 10
- Microbial Metabolic Engineering and Bioproduction 7
- Bioinformatics and Genomic Networks 4
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- Nonlinear Dynamics and Pattern Formation 7
- Co-authors
- Marc R. Roussel (5 shared papers)Carsten Conradi (5 shared papers)Gheorghe Crăciun (3 shared papers)David Siegel (2 shared papers)Elisenda Feliu (2 shared papers)Carsten Wiuf (1 shared paper)Santiago Schnell (1 shared paper)Matthew Hartley (1 shared paper)
- Journals
- Journal of Mathematical Biology (3 papers)Mathematical Biosciences & Engineering (2 papers)Bulletin of Mathematical Biology (2 papers)BMC Systems Biology (1 paper)Mathematics and Computers in Simulation (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Maya Mincheva
20 papers receiving 304 citations
Peers
Comparison fields: 5 of 59
- Modeling and Simulation 20
- Molecular Biology 238
- Computational Mathematics 2
- Statistical and Nonlinear Physics 36
- Computer Networks and Communications 58
Countries citing papers authored by Maya Mincheva
This map shows the geographic impact of Maya Mincheva'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 Mincheva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Mincheva more than expected).
Fields of papers citing papers by Maya Mincheva
This network shows the impact of papers produced by Maya Mincheva. 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 Mincheva. The network helps show where Maya Mincheva may publish in the future.
Co-authors
The 12 scholars most cited alongside Maya Mincheva, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 64 | |
| 2 | 2017 | 42 | |
| 3 | 2014 | 33 | |
| 4 | 2007 | 26 | |
| 5 | 2008 | 26 | |
| 6 | 2006 | 21 | |
| 7 | 2013 | 19 | |
| 8 | 2011 | 13 | |
| 9 | 2003 | 12 | |
| 10 | 2007 | 11 | |
| 11 | 2012 | 9 | |
| 12 | 2017 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2014 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2011 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2016 | 2 | |
| 19 | 2013 | 1 | |
| 20 | 2017 | 1 |
About Maya Mincheva
Maya Mincheva is a scholar working on Molecular Biology, Computer Networks and Communications, Public Health, Environmental and Occupational Health, Genetics and Organic Chemistry, having authored 21 papers that have together received 317 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (18 papers), Protein Structure and Dynamics (10 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Bioinformatics and Genomic Networks (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Evolution and Genetic Dynamics (2 papers) and Stability and Controllability of Differential Equations (1 paper). The work is most often cited by research in Modeling and Simulation (20 citations), Molecular Biology (238 citations), Computational Mathematics (2 citations), Statistical and Nonlinear Physics (36 citations) and Computer Networks and Communications (58 citations). Maya Mincheva has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Marc R. Roussel, Carsten Conradi, Gheorghe Crăciun, David Siegel, Elisenda Feliu, Carsten Wiuf, Santiago Schnell, Matthew Hartley, Brian Ingalls and Casian Pantea. Their work appears in journals such as Journal of Mathematical Biology, Mathematical Biosciences & Engineering, Bulletin of Mathematical Biology, BMC Systems Biology and Mathematics and Computers in Simulation.
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.