Barbara Munz
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Calcium signaling and nucleotide metabolism
- Sensory Systems top 10%
Papers in
-
- NF-κB Signaling Pathways 4
- Physiology 10
- Adipose Tissue and Metabolism 9
- Co-authors
- Andreas Michael Niess (12 shared papers)Felicitas Berger (5 shared papers)Grant C. Churchill (1 shared paper)Helen M. Blau (1 shared paper)Eberhard Hildt (1 shared paper)Parvinder K. Aley (1 shared paper)Matthew L. Springer (1 shared paper)Christof Burgstahler (7 shared papers)
- Journals
- Differentiation (3 papers)European Journal of Cell Biology (3 papers)Biochemical Journal (2 papers)Experimental Cell Research (2 papers)Molecular and Cellular Biochemistry (1 paper)
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
Barbara Munz
32 papers receiving 578 citations
Peers
Comparison fields: 5 of 74
- Physiology 53
- Sensory Systems 35
- Rehabilitation 39
- Cancer Research 83
- Complementary and alternative medicine 44
Countries citing papers authored by Barbara Munz
This map shows the geographic impact of Barbara Munz'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 Barbara Munz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Munz more than expected).
Fields of papers citing papers by Barbara Munz
This network shows the impact of papers produced by Barbara Munz. 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 Barbara Munz. The network helps show where Barbara Munz may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Munz, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2010 | 60 | |
| 3 | 1996 | 56 | |
| 4 | 2021 | 40 | |
| 5 | 2002 | 39 | |
| 6 | 2014 | 24 | |
| 7 | 2015 | 19 | |
| 8 | 2019 | 19 | |
| 9 | 2006 | 17 | |
| 10 | 2021 | 16 | |
| 11 | 2010 | 15 | |
| 12 | 2007 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2011 | 14 | |
| 15 | 2007 | 12 | |
| 16 | 2018 | 12 | |
| 17 | 2018 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2012 | 9 |
About Barbara Munz
Barbara Munz is a scholar working on Cancer Research, Physiology, Molecular Biology, Rehabilitation and Complementary and alternative medicine, having authored 35 papers that have together received 586 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (10 papers), Adipose Tissue and Metabolism (9 papers), RNA Research and Splicing (7 papers), NF-κB Signaling Pathways (4 papers), Cardiovascular and exercise physiology (3 papers), Signaling Pathways in Disease (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Physiology (53 citations), Sensory Systems (35 citations), Rehabilitation (39 citations), Cancer Research (83 citations) and Complementary and alternative medicine (44 citations). Barbara Munz has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Andreas Michael Niess, Felicitas Berger, Grant C. Churchill, Helen M. Blau, Eberhard Hildt, Parvinder K. Aley, Matthew L. Springer, Christof Burgstahler, Christian Alzheimer and Felipe Mattioni Maturana. Their work appears in journals such as Differentiation, European Journal of Cell Biology, Biochemical Journal, Experimental Cell Research and Molecular and Cellular Biochemistry.
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.