T. Müller
Impact in
- Physiology top 5%
- Behavioral Neuroscience top 10%
Papers in
-
- TGF-β signaling in diseases 5
- Ion channel regulation and function 5
- Receptor Mechanisms and Signaling 3
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Rainer Hedrich (9 shared papers)Walter Sebald (7 shared papers)Dirk Becker (5 shared papers)Hermann Koepsell (4 shared papers)Valentin Gorboulev (4 shared papers)Klaus‐Peter Lesch (2 shared papers)Michael Osterheider (2 shared papers)H. M. Schulte (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Nature Communications (3 papers)The Plant Journal (2 papers)PLoS ONE (2 papers)The EMBO Journal (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
T. Müller
55 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 115
- Physiology 100
- Behavioral Neuroscience 37
- Plant Science 408
- Cellular and Molecular Neuroscience 166
- Molecular Biology 590
Countries citing papers authored by T. Müller
This map shows the geographic impact of T. Müller'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 T. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Müller more than expected).
Fields of papers citing papers by T. Müller
This network shows the impact of papers produced by T. Müller. 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 T. Müller. The network helps show where T. Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Müller, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 125 | |
| 2 | 1993 | 116 | |
| 3 | 2005 | 113 | |
| 4 | 2009 | 93 | |
| 5 | 1991 | 92 | |
| 6 | 2011 | 87 | |
| 7 | 1992 | 80 | |
| 8 | 2014 | 73 | |
| 9 | 2008 | 66 | |
| 10 | The incidence of rotator cuff rupture. An anatomic study. | 1991 | 65 |
| 11 | 2018 | 62 | |
| 12 | 2009 | 57 | |
| 13 | 2017 | 43 | |
| 14 | 2009 | 43 | |
| 15 | 2013 | 41 | |
| 16 | 2008 | 34 | |
| 17 | 2009 | 33 | |
| 18 | 2011 | 32 | |
| 19 | 1991 | 32 | |
| 20 | 2012 | 30 |
About T. Müller
T. Müller is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Genetics and Plant Science, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), TGF-β signaling in diseases (5 papers), Ion channel regulation and function (5 papers), Plant Stress Responses and Tolerance (4 papers), Plant nutrient uptake and metabolism (3 papers), Calcium signaling and nucleotide metabolism (3 papers), Receptor Mechanisms and Signaling (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Physiology (100 citations), Behavioral Neuroscience (37 citations), Plant Science (408 citations), Cellular and Molecular Neuroscience (166 citations) and Molecular Biology (590 citations). T. Müller has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Rainer Hedrich, Walter Sebald, Dirk Becker, Hermann Koepsell, Valentin Gorboulev, Klaus‐Peter Lesch, Michael Osterheider, H. M. Schulte, A. Hoh and Alexander Kotzsch. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, The Plant Journal, PLoS ONE and The EMBO Journal.
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.