Utz Herbig
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 0.5%
- Telomeres, Telomerase, and Senescence
Papers in
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Physiology 31
- Telomeres, Telomerase, and Senescence 31
- Co-authors
- John M. SedivyDavid ChenBenjamin P.C. ChenJessie C. JeyapalanMarzia FumagalliFabrizio d’Adda di FagagnaOliver BischofMaria Pia Longhese
- Journals
- Aging Cell (7 papers)Nature Cell Biology (4 papers)EMBO Reports (2 papers)Molecular Biology of the Cell (2 papers)The EMBO Journal (2 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Utz Herbig
36 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Aging 867
- Physiology 3.1k
- Molecular Biology 2.7k
- Cancer Research 486
- Immunology 652
Countries citing papers authored by Utz Herbig
This map shows the geographic impact of Utz Herbig's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Utz Herbig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utz Herbig more than expected).
Fields of papers citing papers by Utz Herbig
This network shows the impact of papers produced by Utz Herbig. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Utz Herbig. The network helps show where Utz Herbig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Utz Herbig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 22 | |
| 4 | 2021 | 137 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 123 | |
| 7 | 2016 | 3 | |
| 8 | 2016 | 81 | |
| 9 | 2014 | 112 | |
| 10 | 2013 | 15 | |
| 11 | Telomeric DNA damage is irreparable and causes persistent DNA-damage-response activation Hit paper breakdown → | 2012 | 613 |
| 12 | Telomere dynamics in keloids. | 2011 | 15 |
| 13 | 2010 | 26 | |
| 14 | 2010 | 79 | |
| 15 | Cellular Senescence in Aging Primates Hit paper breakdown → | 2006 | 824 |
| 16 | 2006 | 429 | |
| 17 | 2005 | 127 | |
| 18 | 2003 | 40 | |
| 19 | 2003 | 69 | |
| 20 | 2000 | 27 |
About Utz Herbig
Utz Herbig is a scholar working on Aging, Physiology, Dermatology, Molecular Biology and Pollution, having authored 37 papers that have together received 4.8k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (31 papers), DNA Repair Mechanisms (14 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Cancer-related Molecular Pathways (5 papers), Genomics and Chromatin Dynamics (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Skin Protection and Aging (3 papers) and Microplastics and Plastic Pollution (3 papers). The work is most often cited by research in Aging (867 citations), Physiology (3.1k citations), Molecular Biology (2.7k citations), Cancer Research (486 citations) and Immunology (652 citations). Utz Herbig has collaborated with scholars based in United States, France and Italy. Frequent co-authors include John M. Sedivy, David Chen, Benjamin P.C. Chen, Jessie C. Jeyapalan, Marzia Fumagalli, Fabrizio d’Adda di Fagagna, Oliver Bischof, Maria Pia Longhese, Francesca Rossiello and Anitha Suram. Their work appears in journals such as Aging Cell, Nature Cell Biology, EMBO Reports, Molecular Biology of the Cell and The EMBO Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.