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
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p21+TREM2+ senescent macrophages fuel inflammaging and metabolic dysfunction-associated steatotic liver disease
Salladay-Perez, I. A., Avila, I., Estrada, L., Alexandru, A. C., Ponce, C., Dhingra, A., Torres, G., Deng, C. Y., Hegde, R., Gensheimer, J., Kale, A., Heckenbach, I., Hui, S., Edillor, C., Soto, J. A., Napior, A. J., Little, I., Larsen, M., Rose, J. & Farahi, L. & 19 others, , 2026, In: Nature Aging. 6, 4, p. 792-815Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Citations (Scopus)10 Downloads (Pure) -
The human pathome shows sex and tissue specific aging patterns
Ben Ezra, M., Garbrecht, J. B., Rasmussen, N., Cortés Mediavilla, M., Heckenbach, I., Petr, M. A., Bakula, D., Mortensen, L. & Scheibye-Knudsen, M., 2026, In: npj Aging. 12, 1, 12 p., 23.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile7 Downloads (Pure) -
Topical and systemic skin aging interventions: Evidence, pitfalls and perspectives
Gürtler, A.-L., Sirois, J. P., Heckenbach, I. J., Scherf-Clavel, O., Scheibye-Knudsen, M. & Heinz, A., 2026, In: Biochemical Pharmacology. 249, 117898.Research output: Contribution to journal › Review › peer-review
Open AccessFile6 Downloads (Pure) -
Altering metabolism programs cell identity via NAD+-dependent deacetylation
Bone, R. A., Lowndes, M. P., Raineri, S., R Riveiro, A., Lundregan, S. L., Dall, M., Sulek, K., Romero, J. A. H., Malzard, L., Koigi, S., Heckenbach, I. J., Solis-Mezarino, V., Völker-Albert, M., Vasilopoulou, C. G., Meier, F., Trusina, A., Mann, M., L Nielsen, M., Treebak, J. T. & Brickman, J. M., 2025, In: EMBO Journal. 44, 11, p. 3056-3084Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile38 Downloads (Pure) -
Cellular senescence predicts breast cancer risk from benign breast disease biopsy images
Heckenbach, I., Peila, R., Benz, C., Weinmann, S., Wang, Y., Powell, M., Scheibye-Knudsen, M. & Rohan, T., 2025, In: Breast cancer research : BCR. 27, 1, 9 p., 37.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)36 Downloads (Pure) -
Deep learning reveals diverging effects of altitude on aging
Teklu, A. A., Heckenbach, I., Petr, M. A., Bakula, D., Keijzers, G. & Scheibye-knudsen, M., 2025, In: GeroScience. 47, p. 3873–3889Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Citations (Scopus)17 Downloads (Pure) -
Innovations in aging biology: highlights from the ARDD emerging science & technologies workshop
Unfried, M., Schmauck-Medina, T., Amin, N. D., Boyden, E. S., Fuellen, G., Han, J. D. J., Hanna, J. H., Heckenbach, I., Khodosevich, K., Melton, L., Moeendarbary, E., Moon, T. S., Peleg, S., Sandberg, A., Shi, L., Bakula, D., Zhavoronkov, A. & Scheibye-Knudsen, M., 2025, In: npj Aging. 11, 1, 4 p., 8.Research output: Contribution to journal › Comment/debate › Research › peer-review
Open AccessFile1 Citation (Scopus)47 Downloads (Pure) -
Deep learning assessment of senescence-associated nuclear morphologies in mammary tissue from healthy female donors to predict future risk of breast cancer: a retrospective cohort study
Heckenbach, I., Powell, M., Fuller, S., Henry, J., Rysdyk, S., Cui, J., Teklu, A. A., Verdin, E., Benz, C. & Scheibye-Knudsen, M., 2024, In: The Lancet Digital Health. 6, 10, p. e681-e690 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile14 Citations (Scopus)35 Downloads (Pure)