Ayşe Gül İnce
- Plant Science top 5%
- Genetics top 10%
- Molecular Biology
- Food Science top 10%
- Cell Biology
- Co-authors
- Mehmet KaracaAhmet Naci OnusMehmet BilgenKenan TurgutSaadet Tuğrul AyUmesh K. ReddyHüseyin SümbülSedat Çıtak
- Topics
- Genetic diversity and population structure (14 papers)Research in Cotton Cultivation (8 papers)Plant Disease Resistance and Genetics (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsAnalytical Biochemistry
- Partner nations
- TürkiyeUnited States
In The Last Decade
Ayşe Gül İnce
46 papers receiving 531 citations
Peers
Comparison fields: 5 of 56
- Plant Science 435
- Genetics 230
- Molecular Biology 211
- Food Science 97
- Cell Biology 49
Countries citing papers authored by Ayşe Gül İnce
This map shows the geographic impact of Ayşe Gül İnce'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 Ayşe Gül İnce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayşe Gül İnce more than expected).
Fields of papers citing papers by Ayşe Gül İnce
This network shows the impact of papers produced by Ayşe Gül İnce. 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 Ayşe Gül İnce. The network helps show where Ayşe Gül İnce may publish in the future.
Co-authorship network of co-authors of Ayşe Gül İnce
This figure shows the co-authorship network connecting the top 25 collaborators of Ayşe Gül İnce. A scholar is included among the top collaborators of Ayşe Gül İnce 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 Ayşe Gül İnce. Ayşe Gül İnce 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 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | Genetic Relationships Among Continental Cotton Species Based On ITS1 Gene Region Aligned With Different Alignment Tools | 2 |
| 8 | A contig-based microsatellite marker approach and its application in Cichorium ESTs. | 4 |
| 9 | 23 | |
| 10 | 9 | |
| 11 | 16 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 13 | |
| 16 | 64 | |
| 17 | 28 | |
| 18 | 32 | |
| 19 | CHLOROPLAST matK GENE PHYLOGENY OF SOME IMPORTANT SPECIES OF PLANTS | 4 |
| 20 | 44 |
About Ayşe Gül İnce
Ayşe Gül İnce is a scholar working on Horticulture, Plant Science and Endocrinology, having authored 48 papers that have together received 621 indexed citations. Recurring topics across this work include Genetic diversity and population structure (14 papers), Research in Cotton Cultivation (8 papers) and Plant Disease Resistance and Genetics (7 papers). The work is most often cited by research in Plant Science (435 citations), Sensory Systems (46 citations) and Horticulture (9 citations). Ayşe Gül İnce has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Mehmet Karaca, Ahmet Naci Onus, Mehmet Bilgen, Kenan Turgut, Saadet Tuğrul Ay, Umesh K. Reddy, Hüseyin Sümbül, Sedat Çıtak, Ersin Polat and Sahriye Sönmez. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Analytical Biochemistry.
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.