A Basmaciogullari
- Surgery top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics
- Anesthesiology and Pain Medicine top 10%
- Co-authors
- Raphaël ScharfmannBertrand DuvilliéP CzernichowPhilippe RavassardAli BounacerR RappaportStéphanie Le BrasÉric Quéméneur
- Topics
- Pancreatic function and diabetes (10 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)Diabetes and associated disorders (3 papers)
In The Last Decade
A Basmaciogullari
18 papers receiving 473 citations
Peers
Comparison fields: 5 of 55
- Surgery 364
- Molecular Biology 187
- Endocrinology, Diabetes and Metabolism 184
- Genetics 160
- Anesthesiology and Pain Medicine 37
Countries citing papers authored by A Basmaciogullari
This map shows the geographic impact of A Basmaciogullari'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 A Basmaciogullari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Basmaciogullari more than expected).
Fields of papers citing papers by A Basmaciogullari
This network shows the impact of papers produced by A Basmaciogullari. 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 A Basmaciogullari. The network helps show where A Basmaciogullari may publish in the future.
Co-authorship network of co-authors of A Basmaciogullari
This figure shows the co-authorship network connecting the top 25 collaborators of A Basmaciogullari. A scholar is included among the top collaborators of A Basmaciogullari 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 A Basmaciogullari. A Basmaciogullari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 89 | |
| 2 | 84 | |
| 3 | 45 | |
| 4 | 15 | |
| 5 | 15 | |
| 6 | 10 | |
| 7 | Fibroblast growth factor 2 promotes pancreatic epithelial cell proliferation via functional fibroblast growth factor receptors during embryonic life. | 50 |
| 8 | 4 | |
| 9 | 62 | |
| 10 | Effect of growth hormone and glucose on rat islet cells replication using 5-bromo-2-deoxyuridine incorporation. | 12 |
| 11 | 17 | |
| 12 | 9 | |
| 13 | 22 | |
| 14 | 17 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 30 |
About A Basmaciogullari
A Basmaciogullari is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Anesthesiology and Pain Medicine, having authored 18 papers that have together received 491 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (184 citations), Surgery (364 citations) and Anesthesiology and Pain Medicine (37 citations). A Basmaciogullari has collaborated with scholars based in France and Mali. Frequent co-authors include Raphaël Scharfmann, Bertrand Duvillié, P Czernichow, Philippe Ravassard, Ali Bounacer, R Rappaport, Stéphanie Le Bras, Éric Quéméneur, C Martí‐Henneberg and Luc Quintin. Their work appears in journals such as Diabetes, Endocrinology and The Journal of Pediatrics.
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.