Daniel E. Gottschling
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms 14
- Molecular Biology top 0.2%
- DNA Repair Mechanisms 23
- Fungal and yeast genetics research 23
- Genomics and Chromatin Dynamics 19
- CRISPR and Genetic Engineering 18
- Ubiquitin and proteasome pathways 8
- RNA and protein synthesis mechanisms 6
- Geriatrics and Gerontology top 0.5%
- Physiology top 0.5%
- Telomeres, Telomerase, and Senescence 10
- Plant Science top 1%
- Co-authors
- Oscar M. AparicioBarbara BillingtonVirginia A. ZakianMiriam SingerFred van LeeuwenThomas R. CechArthur J. ZaugPaula J. Grabowski
- Journals
- Cell (12 papers)Proceedings of the National Academy of Sciences (8 papers)Genes & Development (6 papers)
- Partner nations
- United StatesSouth AfricaNetherlands
In The Last Decade
Daniel E. Gottschling
72 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Aging 1.4k
- Molecular Biology 11.1k
- Geriatrics and Gerontology 479
- Physiology 2.5k
- Plant Science 1.9k
Countries citing papers authored by Daniel E. Gottschling
This map shows the geographic impact of Daniel E. Gottschling'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 Daniel E. Gottschling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Gottschling more than expected).
Fields of papers citing papers by Daniel E. Gottschling
This network shows the impact of papers produced by Daniel E. Gottschling. 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 Daniel E. Gottschling. The network helps show where Daniel E. Gottschling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel E. Gottschling, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2019 | 17 | |
| 5 | 2014 | 60 | |
| 6 | 2012 | 408 | |
| 7 | 2009 | 135 | |
| 8 | 2009 | 1 | |
| 9 | 2009 | 333 | |
| 10 | 2008 | 49 | |
| 11 | 2006 | 4 | |
| 12 | 2004 | 10 | |
| 13 | 2003 | 166 | |
| 14 | 2002 | 69 | |
| 15 | 2002 | 63 | |
| 16 | 2001 | 121 | |
| 17 | 2000 | 103 | |
| 18 | 2000 | 36 | |
| 19 | 1999 | 4 | |
| 20 | Position effect at S. cerevisiae telomeres: Reversible repression of Pol II transcriptionbreakdown → | 1990 | 1135 |
About Daniel E. Gottschling
Daniel E. Gottschling is a scholar working on Aging, Molecular Biology and Physiology, having authored 74 papers that have together received 12.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (23 papers), Fungal and yeast genetics research (23 papers), Genomics and Chromatin Dynamics (19 papers), CRISPR and Genetic Engineering (18 papers), Genetics, Aging, and Longevity in Model Organisms (14 papers), Telomeres, Telomerase, and Senescence (10 papers), Ubiquitin and proteasome pathways (8 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Aging (1.4k citations), Molecular Biology (11.1k citations) and Geriatrics and Gerontology (479 citations). Daniel E. Gottschling has collaborated with scholars based in United States, South Africa and Netherlands. Frequent co-authors include Oscar M. Aparicio, Barbara Billington, Virginia A. Zakian, Miriam Singer, Fred van Leeuwen, Thomas R. Cech, Arthur J. Zaug, Paula J. Grabowski, Kelly Kruger and Philip R. Gafken. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Genes & Development, Molecular and Cellular Biology and Current Biology.
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.