Cezmi Akdis
Turkish researcher
Facts
6 properties- Instance of
- human
- Occupation
- author, researcher, immunologist, academic, university teacher
- Imported from
- wholeness_audit_2026-05-02
- On focus list of Wikimedia project
- WikiProject COVID-19[8]
🏷️ Also known as
en Cezmi A Akdis
en Cezmi Akdis
pl Cezmi A. Akdis
🔖 Identifiers · 4
- ORCID iD
- 0000-0001-8020-019X
- OpenAlex ID
- A5055404517, A5121095069, A5124817408, A5124885807, A5127336705, A5130599406, A5132674977, A5132942835, A5137764992as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- Google Knowledge Graph ID
- /g/11gbhvwnhl
- Yale LUX ID
- person/e010bca7-3a13-44c2-bbf7-38c1ac02b011
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Affiliated with 3
Author of 3
Building bridges for innovation in ageing: Synergies between action groups of the EIP on AHA,
EUFOREA Rhinology Research Forum 2016: report of the brainstorming sessions on needs and priorities in rhinitis and rhinosinusitis,
<scp>EAACI</scp> guidelines on environmental science in allergic diseases and asthma – Leveraging artificial intelligence and machine learning to develop a causality model in exposomics
← Authored by 3
Building bridges for innovation in ageing: Synergies between action groups of the EIP on AHA,
EUFOREA Rhinology Research Forum 2016: report of the brainstorming sessions on needs and priorities in rhinitis and rhinosinusitis,
<scp>EAACI</scp> guidelines on environmental science in allergic diseases and asthma – Leveraging artificial intelligence and machine learning to develop a causality model in exposomics
Press Enter · cited answer in seconds