Karl Deisseroth
A Stanford psychiatrist and bioengineer who helped turn light-sensitive microbial proteins into tools for controlling selected neurons. His contribution connects molecular discovery with experiments on living neural circuits.
Nobel Prize in Physiology or Medicine 2026: Winner and Prediction Review
Nobel Prize in Physiology or Medicine 2026. Karl Deisseroth · Peter Hegemann · Georg Nagel. The official result is available. The public records below describe the discussion before the announcement.
The official result is available. The public records below describe the discussion before the announcement.
Research and work
GLP-1 biology · optical imaging · optogenetics
Source comparison
| Person or organization | Source type | Contract price | Sources |
|---|---|---|---|
| Daniel J. Drucker · Jens Juul Holst · Svetlana MojsovGLP-1 biology | Research recognition | — | Clarivate |
| James G. Fujimoto · David Huang · Eric A. Swansonoptical imaging | Research recognition | — | Clarivate |
| Timothy A. SpringerImmune adhesion | Research recognition | — | Clarivate |
No record is different from a zero probability. We do not create a prediction record when evidence is missing.
These are dated public records. Follow the original source for its latest information.
Current nomination records are confidential for 50 years. An expert recommendation or a market listing does not establish an official nomination.
Citation Laureates identifies influential research. Recognition is not a prediction of a Nobel winner in a particular year.
Field guide
Start with the awarding body and selection rules, then explore contributions and verified past recipients. The current-year discussion is kept on its own annual page.
Nobel Prize in Physiology or MedicinePredictions vs official results
Records taken before the announcement remain separate from the final result. Historical accuracy requires a stated cutoff and a visible denominator.
| Award fields | Prediction record | Official result |
|---|---|---|
| Nobel Prize in Physiology or Medicine | No preserved pre-announcement snapshot | Karl Deisseroth · Peter Hegemann · Georg Nagel |
Related reading
Peter Hegemann
A researcher at Humboldt University in Berlin whose studies of light-sensing algae helped uncover channelrhodopsins. He investigated how these proteins respond to light, laying a molecular foundation for optogenetics.
Georg Nagel
A biophysicist associated with the University of Würzburg who helped show that channelrhodopsins act as light-gated ion channels. His electrophysiological experiments linked algal proteins to controllable electrical activity in other cells.
Daniel J. Drucker
An endocrinology researcher whose work clarified the biological actions of GLP-1 and related gut hormones. His research helped connect basic hormone biology with medicines for metabolic disease.
Jens Juul Holst
A physiologist who studies how intestinal hormones regulate insulin secretion and metabolism. His experiments helped establish the activity of GLP-1 and its role in the gut–pancreas connection.
Svetlana Mojsov
A peptide chemist whose work identified the biologically active form of GLP-1 and enabled its synthesis and measurement. This contribution helped researchers test how the hormone stimulates insulin secretion.
Optogenetics
Optogenetics introduces light-sensitive proteins into selected cells so light can change their activity. This lets researchers test what a neural circuit does by perturbing it, rather than only observing it. A research tool’s success does not mean a treatment is ready for routine care.
GLP-1 research
GLP-1 is a gut hormone involved in glucose-dependent insulin secretion and other metabolic signals. Research on its active form and receptors helped enable medicines that mimic its action. The hormone, a drug and an individual treatment decision are different subjects.
Optical coherence tomography
Optical coherence tomography uses reflected light and interference to produce cross-sectional images of tissue. It can reveal structures such as retinal layers without cutting the tissue. Imaging structure is different from proving the cause of a disease.