ResearcherSalk Institute for Biological StudiesNo recent work listed
Maya Ridinger-Saison
Matched on OpenAlex author ID A5046208444. Sources: OpenAlex.
Their work
- Papers
- 3
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 21
2017: 1 paper · 2018: none · 2019: 1 paper · 2020: none · 2021: 1 paper
Papers 3
- Author Correction: Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. Co-author DOI 10.1038/s41586-021-04176-w↗
- Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. Co-author DOI 10.1038/s41586-019-1130-6↗
- Reprogramming pancreatic stellate cells via p53 activation: A putative target for pancreatic cancer therapy. Co-author DOI 10.1371/journal.pone.0189051↗
Closest collaborators
The 21 strongest of 21 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Kathleen E. DelGiorno · 3 shared papers, 2017–2021 · strength 0.20
- Paper Author Correction: Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. DOI 10.1038/s41586-021-04176-w↗
- Paper Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. DOI 10.1038/s41586-019-1130-6↗
- Paper Reprogramming pancreatic stellate cells via p53 activation: A putative target for pancreatic cancer therapy. DOI 10.1371/journal.pone.0189051↗
- Geoffrey Myles Wahl · 3 shared papers, 2017–2021 · strength 0.20
- Paper Author Correction: Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. DOI 10.1038/s41586-021-04176-w↗
- Paper Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. DOI 10.1038/s41586-019-1130-6↗
- Paper Reprogramming pancreatic stellate cells via p53 activation: A putative target for pancreatic cancer therapy. DOI 10.1371/journal.pone.0189051↗
- Andrew M. Lowy · 3 shared papers, 2017–2021 · strength 0.20
- Paper Author Correction: Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. DOI 10.1038/s41586-021-04176-w↗
- Paper Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. DOI 10.1038/s41586-019-1130-6↗
- Paper Reprogramming pancreatic stellate cells via p53 activation: A putative target for pancreatic cancer therapy. DOI 10.1371/journal.pone.0189051↗
- Ronald M. Evans · 3 shared papers, 2017–2021 · strength 0.20
- Paper Author Correction: Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. DOI 10.1038/s41586-021-04176-w↗
- Paper Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring. DOI 10.1038/s41586-019-1130-6↗
- Paper Reprogramming pancreatic stellate cells via p53 activation: A putative target for pancreatic cancer therapy. DOI 10.1371/journal.pone.0189051↗
- Timothy R. Donahue · 2 shared papers, 2019–2021 · strength 0.14
- Gaoyang Liang · 2 shared papers, 2019–2021 · strength 0.14
- Nikki K. Lytle · 2 shared papers, 2019–2021 · strength 0.14
- Yu Shi · 2 shared papers, 2019–2021 · strength 0.14
- Ruilian Xu · 2 shared papers, 2019–2021 · strength 0.14
- Peiwu Huang · 2 shared papers, 2019–2021 · strength 0.14
- Corina E. Antal · 2 shared papers, 2019–2021 · strength 0.14
- Carlos Roberto Becerra · 2 shared papers, 2019–2021 · strength 0.14
- Eric Andrew Collisson · 2 shared papers, 2019–2021 · strength 0.14
- Michael Anthony Hollingsworth · 2 shared papers, 2019–2021 · strength 0.14
- Paul M. Grandgenett · 2 shared papers, 2019–2021 · strength 0.14
- Tony R. Hunter · 2 shared papers, 2019–2021 · strength 0.14
- Erkut Hasan Borazanci · 2 shared papers, 2019–2021 · strength 0.14
- Tannishtha Reya · 2 shared papers, 2019–2021 · strength 0.14
- Ruijun Tian · 2 shared papers, 2019–2021 · strength 0.14
- Daniel D. Von Hoff · 2 shared papers, 2019–2021 · strength 0.14
- Dawn Jaquish · 1 shared paper, 2017 · strength 0.06
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.