Jacqueline J.L. Jacobs
- Aging top 1%
- Molecular Biology top 1%
- DNA Repair Mechanisms 15
- Epigenetics and DNA Methylation 10
- Genomics and Chromatin Dynamics 9
- CRISPR and Genetic Engineering 7
- Ubiquitin and proteasome pathways 4
- Cancer-related gene regulation 4
- Oncology top 2%
- Cancer Research top 5%
- Physiology top 2%
- Telomeres, Telomerase, and Senescence 13
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- Cancer Research and Treatments 4
- Co-authors
- Maarten van LohuizenSilvia MarinoRonald A. DePinhoJan Willem VonckenAnton BernsBlanca ScheijenTitia de LangeJudith Campisi
- Cited by
- AgingMolecular BiologyOncology
- Journals
- Nature (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (4 papers)
- Partner nations
- NetherlandsUnited StatesAustralia
In The Last Decade
Jacqueline J.L. Jacobs
41 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Aging 186
- Molecular Biology 4.2k
- Oncology 1.5k
- Cancer Research 580
- Physiology 814
Countries citing papers authored by Jacqueline J.L. Jacobs
This map shows the geographic impact of Jacqueline J.L. Jacobs'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 Jacqueline J.L. Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline J.L. Jacobs more than expected).
Fields of papers citing papers by Jacqueline J.L. Jacobs
This network shows the impact of papers produced by Jacqueline J.L. Jacobs. 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 Jacqueline J.L. Jacobs. The network helps show where Jacqueline J.L. Jacobs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacqueline J.L. Jacobs, 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 | 2024 | 2 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 6 | |
| 7 | 2017 | 39 | |
| 8 | 2012 | 9 | |
| 9 | 2011 | 62 | |
| 10 | 2008 | 32 | |
| 11 | 2005 | 61 | |
| 12 | 2005 | 260 | |
| 13 | 2004 | 167 | |
| 14 | 2002 | 340 | |
| 15 | 2002 | 178 | |
| 16 | 2000 | 318 | |
| 17 | 1999 | 67 | |
| 18 | The oncogene and Polycomb-group gene bmi-1 regulates cell proliferation and senescence through the ink4a locusbreakdown → | 1999 | 1293 |
| 19 | 1994 | 3 | |
| 20 | 1990 | 2 |
About Jacqueline J.L. Jacobs
Jacqueline J.L. Jacobs is a scholar working on Theoretical Computer Science, Aging and Molecular Biology, having authored 41 papers that have together received 5.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (15 papers), Telomeres, Telomerase, and Senescence (13 papers), Epigenetics and DNA Methylation (10 papers), Genomics and Chromatin Dynamics (9 papers), CRISPR and Genetic Engineering (7 papers), Cancer Research and Treatments (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Aging (186 citations), Molecular Biology (4.2k citations) and Oncology (1.5k citations). Jacqueline J.L. Jacobs has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Maarten van Lohuizen, Silvia Marino, Ronald A. DePinho, Jan Willem Voncken, Anton Berns, Blanca Scheijen, Titia de Lange, Judith Campisi, Goberdhan P. Dimri and José‐Luis Martínez‐Guitarte. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.
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.