ResearcherFlorida State UniversityActive in the last 2 years
Olalekan H. Usman
Matched on ORCID iD 0009-0007-5756-325X; OpenAlex author ID A5036722354.
Their work
- Papers
- 3 (first author 2, last author 0)
- Trials
- 0
- Grants
- 0
- Collaborators
- 4
2022: 1 paper · 2023: 1 paper · 2024: 1 paper
Papers 3
- Phenotypic, Genomic, and Transcriptomic Heterogeneity in a Pancreatic Cancer Cell Line. Co-author DOI 10.1097/mpa.0000000000002371↗
- Differential modulation of cellular phenotype and drug sensitivity by extracellular matrix proteins in primary and metastatic pancreatic cancer cells. First author DOI 10.1091/mbc.e23-02-0075↗
- Genomic heterogeneity in pancreatic cancer organoids and its stability with culture. First author DOI 10.1038/s41525-022-00342-9↗
Closest collaborators
The 4 strongest of 4 ranked by shared papers, trials and grants, with recent and small-team work weighing most.
- Gengqiang Xie · 3 shared papers, 2022–2024
- Paper Phenotypic, Genomic, and Transcriptomic Heterogeneity in a Pancreatic Cancer Cell Line. DOI 10.1097/mpa.0000000000002371↗
- Paper Differential modulation of cellular phenotype and drug sensitivity by extracellular matrix proteins in primary and meta… DOI 10.1091/mbc.e23-02-0075↗
- Paper Genomic heterogeneity in pancreatic cancer organoids and its stability with culture. DOI 10.1038/s41525-022-00342-9↗
- Jerome Irianto · 3 shared papers, 2022–2024
- Paper Phenotypic, Genomic, and Transcriptomic Heterogeneity in a Pancreatic Cancer Cell Line. DOI 10.1097/mpa.0000000000002371↗
- Paper Differential modulation of cellular phenotype and drug sensitivity by extracellular matrix proteins in primary and meta… DOI 10.1091/mbc.e23-02-0075↗
- Paper Genomic heterogeneity in pancreatic cancer organoids and its stability with culture. DOI 10.1038/s41525-022-00342-9↗
- Chang-Il Hwang · 1 shared paper, 2022
- Hemant Mahendrakumar Kocher · 1 shared paper, 2022
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (the fewest links first, then the links with the most shared work). Built from public records only; no contact details are kept.