Daniela Muhr
Impact in
- Genetics top 10%
- BRCA gene mutations in cancer
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- Cancer Genomics and Diagnostics
Papers in
- Genetics 12
- BRCA gene mutations in cancer 12
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- DNA Repair Mechanisms 5
- CRISPR and Genetic Engineering 4
- Co-authors
- Teresa Wagner (7 shared papers)Peter J. Oefner (3 shared papers)Eberhard Standl (8 shared papers)Oliver Schnell (8 shared papers)M. Haslbeck (7 shared papers)S. Dresel (3 shared papers)Åke Borg (1 shared paper)Sabine Pagès (1 shared paper)
- Journals
- Diabetologia (2 papers)PLoS ONE (2 papers)Journal of Diabetes and its Complications (2 papers)Human Mutation (2 papers)Diabetes (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Daniela Muhr
28 papers receiving 645 citations
Peers
Comparison fields: 5 of 71
- Genetics 232
- Cancer Research 89
- Cardiology and Cardiovascular Medicine 126
- Reproductive Medicine 38
- Oncology 95
Countries citing papers authored by Daniela Muhr
This map shows the geographic impact of Daniela Muhr'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 Daniela Muhr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Muhr more than expected).
Fields of papers citing papers by Daniela Muhr
This network shows the impact of papers produced by Daniela Muhr. 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 Daniela Muhr. The network helps show where Daniela Muhr may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Muhr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 187 | |
| 2 | Contributions of ATM mutations to familial breast and ovarian cancer. | 2003 | 142 |
| 3 | 1996 | 67 | |
| 4 | 1997 | 29 | |
| 5 | 1996 | 23 | |
| 6 | 2015 | 21 | |
| 7 | 2016 | 21 | |
| 8 | 2019 | 20 | |
| 9 | 1997 | 19 | |
| 10 | 1996 | 18 | |
| 11 | 1997 | 16 | |
| 12 | 2005 | 15 | |
| 13 | 2013 | 15 | |
| 14 | 2002 | 12 | |
| 15 | 2008 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2000 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2013 | 6 |
About Daniela Muhr
Daniela Muhr is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 30 papers that have together received 674 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (12 papers), DNA Repair Mechanisms (5 papers), Heart Rate Variability and Autonomic Control (5 papers), CRISPR and Genetic Engineering (4 papers), Cardiac Imaging and Diagnostics (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Genetics (232 citations), Cancer Research (89 citations), Cardiology and Cardiovascular Medicine (126 citations), Reproductive Medicine (38 citations) and Oncology (95 citations). Daniela Muhr has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Teresa Wagner, Peter J. Oefner, Eberhard Standl, Oliver Schnell, M. Haslbeck, S. Dresel, Åke Borg, Sabine Pagès, Dominique Stoppa‐Lyonnet and Therese Sandberg. Their work appears in journals such as Diabetologia, PLoS ONE, Journal of Diabetes and its Complications, Human Mutation and Diabetes.
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.