Selçuk Daşdemir
- Co-authors
- Bedia ÇakmakoğluCem İ̇smail KüçükaliŞule SeçkinAmra AdroviçSezgin ŞahinÖzgür KasapçopurKenan BarutElif Özkök
- Topics
- Chemokine receptors and signaling (4 papers)Inflammasome and immune disorders (4 papers)DNA Repair Mechanisms (3 papers)
- Journals
- Clinical ChemistryGeneLupus
- Partner nations
- TürkiyeUnited StatesGermany
In The Last Decade
Selçuk Daşdemir
23 papers receiving 376 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 175
- Immunology 120
- Oncology 56
- Cardiology and Cardiovascular Medicine 50
- Surgery 41
Countries citing papers authored by Selçuk Daşdemir
This map shows the geographic impact of Selçuk Daşdemir'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 Selçuk Daşdemir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selçuk Daşdemir more than expected).
Fields of papers citing papers by Selçuk Daşdemir
This network shows the impact of papers produced by Selçuk Daşdemir. 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 Selçuk Daşdemir. The network helps show where Selçuk Daşdemir may publish in the future.
Co-authorship network of co-authors of Selçuk Daşdemir
This figure shows the co-authorship network connecting the top 25 collaborators of Selçuk Daşdemir. A scholar is included among the top collaborators of Selçuk Daşdemir 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 Selçuk Daşdemir. Selçuk Daşdemir 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 | 0 | |
| 3 | 19 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 79 | |
| 8 | DNA repair gene XPD Asp312Asn and XRCC4 G-1394T polymorphisms and the risk of autism spectrum disorder. | 12 |
| 9 | 16 | |
| 10 | 21 | |
| 11 | COX-2 gene variants in bipolar disorder-I. | 7 |
| 12 | The relationship between catechol-O-methyltransferase gene Val158Met (COMT) polymorphism and premorbid cannabis use in Turkish male patients with schizophrenia. | 9 |
| 13 | 5 | |
| 14 | 18 | |
| 15 | 13 | |
| 16 | 5 | |
| 17 | 44 | |
| 18 | 33 | |
| 19 | Diyabetik Koroner Arter Hastalığında Monosit Kemotaktik Proteini (MCP-1) A-2518G ve CCR2 Reseptörü G190A Gen Polimorfîzmlerinin İncelenmesi | 2 |
| 20 | Common MEFV mutations and polymorphisms in an elderly population: an association with E148Q polymorphism and rheumatoid factor levels. | 2 |
About Selçuk Daşdemir
Selçuk Daşdemir is a scholar working on Biological Psychiatry, Immunology and Internal Medicine, having authored 24 papers that have together received 380 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Inflammasome and immune disorders (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Biological Psychiatry (21 citations), Immunology (120 citations) and Nephrology (26 citations). Selçuk Daşdemir has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Bedia Çakmakoğlu, Cem İ̇smail Küçükali, Şule Seçkin, Amra Adroviç, Sezgin Şahin, Özgür Kasapçopur, Kenan Barut, Elif Özkök, Canan Küçükgergin and Öner Şanlı. Their work appears in journals such as Clinical Chemistry, Gene and Lupus.
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.