Toby C. Cornish

Closest collaborators

The 11 strongest of 11 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Laura DeLong Wood · 3 shared papers, 2022–2026 · strength 0.58
   • Paper Quantitative 3D histology reveals localized immune remodeling during early pancreatic cancer progression. DOI 10.1016/j.cpblue.2026.100008↗
   • Paper Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic… DOI 10.1126/sciadv.ado5103↗
   • Paper CODA: quantitative 3D reconstruction of large tissues at cellular resolution DOI 10.1038/s41592-022-01650-9↗
2. Denis Wirtz · 3 shared papers, 2022–2026 · strength 0.58
   • Paper Quantitative 3D histology reveals localized immune remodeling during early pancreatic cancer progression. DOI 10.1016/j.cpblue.2026.100008↗
   • Paper Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic… DOI 10.1126/sciadv.ado5103↗
   • Paper CODA: quantitative 3D reconstruction of large tissues at cellular resolution DOI 10.1038/s41592-022-01650-9↗
3. Ralph H. Hruban · 3 shared papers, 2022–2026 · strength 0.58
   • Paper Quantitative 3D histology reveals localized immune remodeling during early pancreatic cancer progression. DOI 10.1016/j.cpblue.2026.100008↗
   • Paper Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic… DOI 10.1126/sciadv.ado5103↗
   • Paper CODA: quantitative 3D reconstruction of large tissues at cellular resolution DOI 10.1038/s41592-022-01650-9↗
4. Ashley L. Kiemen · 3 shared papers, 2022–2026 · strength 0.58
   • Paper Quantitative 3D histology reveals localized immune remodeling during early pancreatic cancer progression. DOI 10.1016/j.cpblue.2026.100008↗
   • Paper Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic… DOI 10.1126/sciadv.ado5103↗
   • Paper CODA: quantitative 3D reconstruction of large tissues at cellular resolution DOI 10.1038/s41592-022-01650-9↗
5. Fuyong Xing · 1 shared grant, 2020 · strength 0.48
   • Grant Development and Dissemination of KiNet: A Novel Imaging Informatics Tool for Gastrointestinal and Pancreatic Neuroendoc… R21CA237493↗
6. Pei-Hsun Wu · 2 shared papers, 2022–2024 · strength 0.35
   • Paper Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic… DOI 10.1126/sciadv.ado5103↗
   • Paper CODA: quantitative 3D reconstruction of large tissues at cellular resolution DOI 10.1038/s41592-022-01650-9↗
7. Pei-Hsun wu · 1 shared paper, 2026 · strength 0.23
   • Paper Quantitative 3D histology reveals localized immune remodeling during early pancreatic cancer progression. DOI 10.1016/j.cpblue.2026.100008↗
8. André Forjaz · 1 shared paper, 2026 · strength 0.23
   • Paper Quantitative 3D histology reveals localized immune remodeling during early pancreatic cancer progression. DOI 10.1016/j.cpblue.2026.100008↗
9. Won Jin Ho · 1 shared paper, 2026 · strength 0.23
   • Paper Quantitative 3D histology reveals localized immune remodeling during early pancreatic cancer progression. DOI 10.1016/j.cpblue.2026.100008↗
10. David Zwicker · 1 shared paper, 2024 · strength 0.23
    • Paper Power-law growth models explain incidences and sizes of pancreatic cancer precursor lesions and confirm spatial genomic… DOI 10.1126/sciadv.ado5103↗
11. Seung‐Mo Hong · 1 shared paper, 2022 · strength 0.12
    • Paper CODA: quantitative 3D reconstruction of large tissues at cellular resolution DOI 10.1038/s41592-022-01650-9↗

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.