Dr. IOANNIS VAMVAKARIS, IATROPOLIS, Greece
Dr. Ioannis Vamvakaris is a distinguished Greek pathologist specializing in thoracic pathology. 🫁 He earned his MSc in Thoracic Oncology in 2013 and PhD in 2018 from Athens School of Medicine. 🎓 Since 2019, he has led the Pathology Department at Sotiria General Hospital. 🏥 He’s authored over 200 publications 📚 and co-developed Greece’s first AI software for pathology. 🤖 A reviewer for top journals (Elsevier, MDPI), he actively collaborates on global research in cancer, organoids, proteomics, and microbiome. 🌍 Recognized with the 2024 Best Researcher Award 🏆 and Sigma Xi membership, Dr. Vamvakaris continues to shape medical science with dedication and innovation.
Publication Profile
Google Scholar
Education
Dr. Ioannis Vamvakaris is a highly accomplished pathologist who began his medical journey at Sotiria General Hospital in Athens 🏥. Since 2008, he has served as a consultant in the pathology department, demonstrating unwavering dedication to thoracic pathology 🫁. He earned his MSc in Thoracic Oncology in 2013 and completed his PhD in 2018 from the Athens School of Medicine 🎓. Dr. Vamvakaris also pursued specialized training in Patient-Crisis-Emergency Management at the Berlin School of Economics 🇩🇪. His academic growth and professional excellence highlight his strong commitment to advancing medical knowledge and enhancing patient care globally 🌍.
Awards
Dr. Ioannis Vamvakaris has earned prestigious honors in recognition of his exceptional contributions to pathology and oncology research 🔬. In 2024, he was presented with the Best Researcher Award at the International Research Awards on Oncology and Cancer Research 🧬. That same year, he was inducted as an Associate Member of Sigma Xi 🧠—a globally respected scientific research honor society that recognizes excellence through nomination only. Additionally, he received the Trusted Reviewer Certificate in 2023 📄, reflecting his outstanding commitment to scientific publishing and peer evaluation. These accolades underscore his leadership and integrity in medical science 🌟.o
Research Focus
Dr. Ioannis Vamvakaris is a leading expert in thoracic pathology, with a strong research focus on lung cancer, molecular oncology, and immunopathology 🔬. His studies span non-small cell lung cancer (NSCLC), checkpoint inhibitor-induced sarcoidosis, and PD-1/PD-L1 immune responses 🧬. His collaborative work explores liquid biopsy biomarkers, xenograft models, and AI-assisted diagnostics 🤖. Passionate about translational research, he contributes to genomics, proteomics, fibrosis, and epigenetics in thoracic malignancies. His multidisciplinary efforts bridge clinical pathology and personalized medicine, advancing early diagnosis and targeted therapies 💉. Dr. Vamvakaris’ research enriches global understanding of lung diseases and thoracic oncology 🌍.
Publication Top Notes
Sarcoidosis-like reactions induced by checkpoint inhibitors
Lung tumor MHCII immunity depends on in situ antigen presentation by fibroblasts
Epithelial–mesenchymal transition in non small-cell lung cancer
Zebrafish patient-derived xenograft models predict lymph node involvement and treatment outcome in non-small cell lung cancer
Sputum and BAL Clara cell secretory protein and surfactant protein D levels in asthma
DNA methylation analysis of tumor suppressor genes in liquid biopsy components of early stage NSCLC: a promising tool for early detection
Concurrent granulomatous hepatitis, pneumonitis and sepsis as a complication of intravesical BCG immunotherapy
Salivary inflammatory markers in tension type headache and migraine: the SalHead cohort study
Expression of PD-1/PD-L1 axis in mediastinal lymph nodes and lung tissue of human and experimental lung fibrosis indicates a potential therapeutic target for idiopathic …
An immunohistochemical evaluation of the proteins W nt1 and glycogen synthase kinase (GSK)‐3β in invasive breast carcinomas
Pulmonary blastoma: a comprehensive overview of a rare entity
Preoperative mutational analysis of circulating tumor cells (CTCs) and plasma-cfDNA provides complementary information for early prediction of relapse: A pilot study in early …