Selcuk Mehtap
- Biochemistry
- Artificial Intelligence
- Internal Medicine
- Epidemiology
- Pulmonary and Respiratory Medicine
- Co-authors
- Özgür CanbayNalan ÇelebiAyşe Heves KaragözÜlkü AyparBilge ÇelebioğluA. Sevtap Selcuk‐Kestel
- Topics
- Machine Learning in Healthcare (1 paper)COVID-19 diagnosis using AI (1 paper)Blood groups and transfusion (1 paper)
- Journals
- Informatics in Medicine UnlockedPubMed
- Partner nations
- Türkiye
In The Last Decade
Selcuk Mehtap
2 papers receiving 31 citations
Peers
Comparison fields: 5 of 30
- Biochemistry 16
- Artificial Intelligence 8
- Internal Medicine 7
- Epidemiology 7
- Pulmonary and Respiratory Medicine 6
Countries citing papers authored by Selcuk Mehtap
This map shows the geographic impact of Selcuk Mehtap'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 Selcuk Mehtap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Selcuk Mehtap more than expected).
Fields of papers citing papers by Selcuk Mehtap
This network shows the impact of papers produced by Selcuk Mehtap. 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 Selcuk Mehtap. The network helps show where Selcuk Mehtap may publish in the future.
Co-authorship network of co-authors of Selcuk Mehtap
This figure shows the co-authorship network connecting the top 25 collaborators of Selcuk Mehtap. A scholar is included among the top collaborators of Selcuk Mehtap 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 Selcuk Mehtap. Selcuk Mehtap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | The role of antifibrinolytic agents in gynecologic cancer surgery. | 22 |
About Selcuk Mehtap
Selcuk Mehtap is a scholar working on Critical Care and Intensive Care Medicine, Biochemistry and Hematology, having authored 2 papers that have together received 31 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (1 paper), COVID-19 diagnosis using AI (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Biochemistry (16 citations), Internal Medicine (7 citations) and Family Practice (2 citations). Selcuk Mehtap has collaborated with scholars based in Türkiye. Frequent co-authors include Özgür Canbay, Nalan Çelebi, Ayşe Heves Karagöz, Ülkü Aypar, Bilge Çelebioğlu and A. Sevtap Selcuk‐Kestel. Their work appears in journals such as Informatics in Medicine Unlocked and PubMed.
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.