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Dive into the research topics where Genetics, Cell Biology and Development (TMED) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Kate Adamala
- Genetics, Cell Biology and Development (CBS) - Associate Professor
- Genetics, Cell Biology and Development (TMED) - Associate Professor
- Genetics Mechanisms of Cancer
Person: Member, Faculty, Medical School Affiliates
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Frank W Albert
- Genetics, Cell Biology and Development (CBS) - Associate Professor
- Genetics, Cell Biology and Development (TMED) - Associate Professor
Person: Faculty, Medical School Affiliates
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Maureen Cetera
- Genetics, Cell Biology and Development (TMED) - Assistant Professor
- Cellular Mechanisms of Cancer
Person: Member, Faculty
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Exploring the links between cyclin D1, metabolism and aging
Gill, M. S. (PI) & Albrecht, J. H. (Co-Principal Investigator)
NIH NATIONAL INSTITUTE ON AGING
2/1/26 → 1/31/28
Project: Research project
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Developing a Cultural Competency Measure for Genetic Counseling
Diaz Caro, D. (PI) & MacFarlane, I. (CoI)
National Society of Genetic Counselors
10/1/25 → 12/31/26
Project: Research project
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Genetic inference and prediction in diverse, multi-ancestry cohorts
Zaidi, A. (PI)
NIH NIGMS NATL INST OF GENERAL
9/1/25 → 6/30/30
Project: Research project
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Navigating identity and professional life: A qualitative study of LGBTQ+ genetic counselors' workplace experiences
Nelson, K. L., Zayhowski, K. & MacFarlane, I. M., Feb 2026, In: Journal of Genetic Counseling. 35, 1, e70175.Research output: Contribution to journal › Article › peer-review
Open Access -
Topohistological alignments of ocular/penile organs
Yamada, G., Hashimoto, D., Fujimoto, K., Nakata, M., Asamura, S., Kawakami, Y. & Lwigale, P., Jan 2026, In: Anatomical Science International. 101, 1, p. 1-5 5 p.Research output: Contribution to journal › Review article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
A machine learning approach identifies cellular senescence on transcriptome data of human cells in vitro
Mahmud, S., Zheng, C., Santiago, F., Zhang, L., Robbins, P. D. & Dong, X., Jun 2025, In: GeroScience. 47, 3, p. 5287-5301 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations