Egils Stalidzāns
- Molecular Biology
- Genetics top 10%
- Insect Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Biomedical Engineering
- Co-authors
- Aleksejs ZacepinsValters BrusbārdisAndrejs KostrominsDavid A. FellVitālijs KomašilovsUldis KalnenieksReinis RutkisArmands Kviesis
- Topics
- Microbial Metabolic Engineering and Bioproduction (30 papers)Gene Regulatory Network Analysis (17 papers)Biofuel production and bioconversion (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- LatviaUnited KingdomGermany
In The Last Decade
Egils Stalidzāns
49 papers receiving 671 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 325
- Genetics 268
- Insect Science 260
- Ecology, Evolution, Behavior and Systematics 232
- Biomedical Engineering 171
Countries citing papers authored by Egils Stalidzāns
This map shows the geographic impact of Egils Stalidzāns'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 Egils Stalidzāns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Egils Stalidzāns more than expected).
Fields of papers citing papers by Egils Stalidzāns
This network shows the impact of papers produced by Egils Stalidzāns. 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 Egils Stalidzāns. The network helps show where Egils Stalidzāns may publish in the future.
Co-authorship network of co-authors of Egils Stalidzāns
This figure shows the co-authorship network connecting the top 25 collaborators of Egils Stalidzāns. A scholar is included among the top collaborators of Egils Stalidzāns 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 Egils Stalidzāns. Egils Stalidzāns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 30 | |
| 11 | 3 | |
| 12 | 19 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 26 | |
| 16 | 40 | |
| 17 | 1 | |
| 18 | Convergence dynamics of biochemical models to the global optimum | 7 |
| 19 | 15 | |
| 20 | Modelling of bee wintering building profitability | 3 |
About Egils Stalidzāns
Egils Stalidzāns is a scholar working on Insect Science, Molecular Biology and Physical and Theoretical Chemistry, having authored 51 papers that have together received 705 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (30 papers), Gene Regulatory Network Analysis (17 papers) and Biofuel production and bioconversion (15 papers). The work is most often cited by research in Insect Science (260 citations), Ecology, Evolution, Behavior and Systematics (232 citations) and Genetics (268 citations). Egils Stalidzāns has collaborated with scholars based in Latvia, United Kingdom and Germany. Frequent co-authors include Aleksejs Zacepins, Valters Brusbārdis, Andrejs Kostromins, David A. Fell, Vitālijs Komašilovs, Uldis Kalnenieks, Reinis Rutkis, Armands Kviesis, Elīna Dāce and Linda Zaharenko. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.