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Christian Denecke

Surgery

Humboldt-Universität zu Berlin

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About Christian Denecke at Humboldt-Universität zu Berlin

Christian Denecke is a surgeon and researcher at Freie Universität Berlin focusing on transplantation outcomes, surgical oncology, and AI-driven prediction of postoperative complications. Their research directions are illustrated by key works including "De-novo Upper Gastrointestinal Tract Cancer after Liver Transplantation: A Demographic Report.", and "Enhancing Preoperative Outcome Prediction: A Comparative Retrospective Case–Control Study on Machine Learning versus the International Esodata Study Group Risk Model for Predicting 90-Day Mortality in Oncologic Esophagectomy".

Research Areas

renal transplantation outcomesorgan transplantation techniquesgastric cancer managementpostoperative complication predictionsurgical mortality predictionimmunosuppressed patient surgerymultimodal AI in surgery
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Academic Impact Matrix

Research output metrics for Christian Denecke aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations1,326

Emerging researcher

Publications114

Selective publication record

h-index22

Developing track record

i10-index40

Growing portfolio

Lab Environment

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Top Publications

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