Julia von Maltzahn
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 5
- Genetics top 2%
- Genetics and Neurodevelopmental Disorders 8
- Neurogenetic and Muscular Disorders Research 6
- Molecular Biology top 2%
- Muscle Physiology and Disorders 33
- Connexins and lens biology 9
- Wnt/β-catenin signaling in development and cancer 4
- Heat shock proteins research 4
- Rehabilitation top 2%
- Physiology top 5%
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- Tissue Engineering and Regenerative Medicine 15
- Co-authors
- Michael A. RudnickiC. Florian BentzingerYu Xin WangNatasha C. ChangRobin J. ParksAndrew JonesNicolas A. DumontHang Yin
- Cited by
- AgingGeneticsMolecular Biology
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nature Medicine (2 papers)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Julia von Maltzahn
47 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 107
- Aging 221
- Genetics 515
- Molecular Biology 2.9k
- Rehabilitation 216
- Physiology 772
Countries citing papers authored by Julia von Maltzahn
This map shows the geographic impact of Julia von Maltzahn'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 Julia von Maltzahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia von Maltzahn more than expected).
Fields of papers citing papers by Julia von Maltzahn
This network shows the impact of papers produced by Julia von Maltzahn. 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 Julia von Maltzahn. The network helps show where Julia von Maltzahn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julia von Maltzahn, 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 | 0 | |
| 2 | 2024 | 14 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 25 | |
| 9 | 2020 | 24 | |
| 10 | 2019 | 215 | |
| 11 | 2019 | 18 | |
| 12 | 2018 | 42 | |
| 13 | 2016 | 8 | |
| 14 | 2013 | 438 | |
| 15 | 2012 | 44 | |
| 16 | 2010 | 91 | |
| 17 | 2009 | 15 | |
| 18 | 2009 | 15 | |
| 19 | 2008 | 51 | |
| 20 | 2004 | 37 |
About Julia von Maltzahn
Julia von Maltzahn is a scholar working on Aging, Genetics and Molecular Biology, having authored 48 papers that have together received 3.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (33 papers), Tissue Engineering and Regenerative Medicine (15 papers), Connexins and lens biology (9 papers), Genetics and Neurodevelopmental Disorders (8 papers), Neurogenetic and Muscular Disorders Research (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Heat shock proteins research (4 papers). The work is most often cited by research in Aging (221 citations), Genetics (515 citations) and Molecular Biology (2.9k citations). Julia von Maltzahn has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Michael A. Rudnicki, C. Florian Bentzinger, Yu Xin Wang, Natasha C. Chang, Robin J. Parks, Andrew Jones, Nicolas A. Dumont, Hang Yin, Manuel Schmidt and Alessandra Pasut. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.
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.