Leena Ackermann
Impact in
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- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- DNA Repair Mechanisms 6
- Ubiquitin and proteasome pathways 6
- RNA Interference and Gene Delivery 2
- Mitochondrial Function and Pathology 2
- Histone Deacetylase Inhibitors Research 1
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- Microtubule and mitosis dynamics 2
- Endoplasmic Reticulum Stress and Disease 1
- Co-authors
- Thorsten Hoppe (5 shared papers)Martijn S. Luijsterburg (2 shared papers)Klára Ács (2 shared papers)Nico P. Dantuma (2 shared papers)André Franz (2 shared papers)Florian A. Salomons (1 shared paper)Niels Mailand (4 shared papers)Ivo A. Hendriks (3 shared papers)
- Journals
- The EMBO Journal (3 papers)Nature Structural & Molecular Biology (3 papers)Mitochondrion (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Cell Reports (1 paper)
- Partner nations
- NetherlandsGermanyDenmark
In The Last Decade
Leena Ackermann
10 papers receiving 666 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 622
- Cell Biology 141
- Oncology 191
- Aging 12
- Cancer Research 43
Countries citing papers authored by Leena Ackermann
This map shows the geographic impact of Leena Ackermann'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 Leena Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leena Ackermann more than expected).
Fields of papers citing papers by Leena Ackermann
This network shows the impact of papers produced by Leena Ackermann. 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 Leena Ackermann. The network helps show where Leena Ackermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Leena Ackermann, 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 | 2011 | 225 | |
| 2 | 2012 | 91 | |
| 3 | 2019 | 79 | |
| 4 | 2016 | 70 | |
| 5 | 2013 | 62 | |
| 6 | 2021 | 45 | |
| 7 | 2013 | 44 | |
| 8 | 2016 | 32 | |
| 9 | 2024 | 15 | |
| 10 | 2004 | 5 |
About Leena Ackermann
Leena Ackermann is a scholar working on Molecular Biology, Cell Biology, Genetics, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 668 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Ubiquitin and proteasome pathways (6 papers), RNA Interference and Gene Delivery (2 papers), Mitochondrial Function and Pathology (2 papers), Microtubule and mitosis dynamics (2 papers), Histone Deacetylase Inhibitors Research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Molecular Biology (622 citations), Cell Biology (141 citations), Oncology (191 citations), Aging (12 citations) and Cancer Research (43 citations). Leena Ackermann has collaborated with scholars based in Netherlands, Germany and Denmark. Frequent co-authors include Thorsten Hoppe, Martijn S. Luijsterburg, Klára Ács, Nico P. Dantuma, André Franz, Florian A. Salomons, Niels Mailand, Ivo A. Hendriks, Michael L. Nielsen and Hannes Lans. Their work appears in journals such as The EMBO Journal, Nature Structural & Molecular Biology, Mitochondrion, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Cell Reports.
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.