Alpaslan Tuzcu
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Reproductive Medicine top 5%
- Surgery
- Molecular Biology
- Co-authors
- Mithat BahçeciDeniz GökalpŞenay Arıkan DurmazYekta TüzünKemal GüneşSelen BahçeciZeki AkkuşAytaç Atamer
- Topics
- Growth Hormone and Insulin-like Growth Factors (13 papers)Pituitary Gland Disorders and Treatments (9 papers)Ovarian function and disorders (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismFertility and Sterility
- Partner nations
- TürkiyeUnited StatesGermany
In The Last Decade
Alpaslan Tuzcu
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 425
- Physiology 191
- Reproductive Medicine 167
- Surgery 143
- Molecular Biology 140
Countries citing papers authored by Alpaslan Tuzcu
This map shows the geographic impact of Alpaslan Tuzcu'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 Alpaslan Tuzcu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alpaslan Tuzcu more than expected).
Fields of papers citing papers by Alpaslan Tuzcu
This network shows the impact of papers produced by Alpaslan Tuzcu. 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 Alpaslan Tuzcu. The network helps show where Alpaslan Tuzcu may publish in the future.
Co-authorship network of co-authors of Alpaslan Tuzcu
This figure shows the co-authorship network connecting the top 25 collaborators of Alpaslan Tuzcu. A scholar is included among the top collaborators of Alpaslan Tuzcu 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 Alpaslan Tuzcu. Alpaslan Tuzcu 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 40 | |
| 8 | 36 | |
| 9 | 7 | |
| 10 | 19 | |
| 11 | 28 | |
| 12 | 43 | |
| 13 | 19 | |
| 14 | The association of high sensitivity C-reactive protein levels with body fat mass and body fat distribution | 1 |
| 15 | 14 | |
| 16 | 17 | |
| 17 | Insulin Sensitivity, b Cell Function and Serum Lipid Levels in Helicobacter Pylori Positive, Non-Obese, Young Adult Males | 0 |
| 18 | The Association of Acromegaly and Ankylosing Spondylitis | 1 |
| 19 | 34 | |
| 20 | 8 |
About Alpaslan Tuzcu
Alpaslan Tuzcu is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Pituitary Gland Disorders and Treatments (9 papers) and Ovarian function and disorders (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (425 citations), Reproductive Medicine (167 citations) and Endocrine and Autonomic Systems (133 citations). Alpaslan Tuzcu has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Mithat Bahçeci, Deniz Gökalp, Şenay Arıkan Durmaz, Yekta Tüzün, Kemal Güneş, Selen Bahçeci, Zeki Akkuş, Aytaç Atamer, Yıldız Atamer and Nebahat Taşdemir. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Fertility and Sterility.
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.