Barbara Munz
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Calcium signaling and nucleotide metabolism
- Rehabilitation top 10%
- Exercise and Physiological Responses
Papers in
-
- Muscle Physiology and Disorders 10
- RNA Research and Splicing 7
- Signaling Pathways in Disease 3
- Physiology 14
- Adipose Tissue and Metabolism 9
- Physical Activity and Health 4
- Co-authors
- Andreas M. Nieß (11 shared papers)Felicitas Berger (5 shared papers)Matthew L. Springer (1 shared paper)Helen M. Blau (1 shared paper)Grant C. Churchill (1 shared paper)Parvinder K. Aley (1 shared paper)Eberhard Hildt (1 shared paper)Christof Burgstahler (7 shared papers)
In The Last Decade
Barbara Munz
34 papers receiving 602 citations
Peers
Comparison fields: 5 of 82
- Physiology 54
- Rehabilitation 52
- Sensory Systems 36
- Complementary and alternative medicine 55
- Cancer Research 95
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 115 | |
| 2 | 2010 | 61 | |
| 3 | 1996 | 52 | |
| 4 | Exercise, skeletal muscle and inflammation: ARE-binding proteins as key regulators in inflammatory and adaptive networks. | 2015 | 44 |
| 5 | 2002 | 39 | |
| 6 | 2021 | 37 | |
| 7 | 2014 | 24 | |
| 8 | 2015 | 19 | |
| 9 | 2019 | 16 | |
| 10 | 2006 | 16 | |
| 11 | 2010 | 16 | |
| 12 | 2007 | 15 | |
| 13 | 2011 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2007 | 13 | |
| 16 | 2018 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2018 | 9 | |
| 19 | 2012 | 9 | |
| 20 | 2013 | 9 |
About Barbara Munz
Barbara Munz is a scholar working on Molecular Biology, Physiology, Cancer Research, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 36 papers that have together received 608 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), Cardiovascular and exercise physiology (5 papers), NF-κB Signaling Pathways (4 papers), Physical Activity and Health (4 papers), MicroRNA in disease regulation (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Physiology (54 citations), Rehabilitation (52 citations), Sensory Systems (36 citations), Complementary and alternative medicine (55 citations) and Cancer Research (95 citations). Barbara Munz has collaborated with scholars based in Germany, Italy and Canada. Frequent co-authors include Andreas M. Nieß, Felicitas Berger, Matthew L. Springer, Helen M. Blau, Grant C. Churchill, Parvinder K. Aley, Eberhard Hildt, Christof Burgstahler, Ansgar Thiel and G. ten Bruggencate. Their work appears in journals such as Differentiation, European Journal of Cell Biology, Biochemical Journal, Experimental Cell Research and European Journal of Applied Physiology.
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.