Thomas D. Mueller
Impact in
- Molecular Biology top 2%
- TGF-β signaling in diseases
- Bone Metabolism and Diseases
- Ubiquitin and proteasome pathways
- Connective Tissue Growth Factor Research
- Immunology and Allergy top 5%
Papers in
-
- TGF-β signaling in diseases 31
- Bone Metabolism and Diseases 12
- Ubiquitin and proteasome pathways 8
- Connective Tissue Growth Factor Research 7
- Oncology 15
- Peptidase Inhibition and Analysis 7
- Co-authors
- Joachim Nickel (25 shared papers)Walter Sebald (26 shared papers)Juli Feigon (4 shared papers)Jinli Zhang (4 shared papers)Alexander Kotzsch (12 shared papers)Timothy A. Springer (1 shared paper)Andrew P. Hinck (1 shared paper)Peter ten Dijke (4 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)PLoS ONE (5 papers)Molecular Pharmacology (4 papers)Journal of Molecular Biology (4 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Thomas D. Mueller
101 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 2.9k
- Immunology and Allergy 206
- Rheumatology 459
- Oncology 687
- Cell Biology 386
Countries citing papers authored by Thomas D. Mueller
This map shows the geographic impact of Thomas D. Mueller'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 Thomas D. Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas D. Mueller more than expected).
Fields of papers citing papers by Thomas D. Mueller
This network shows the impact of papers produced by Thomas D. Mueller. 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 Thomas D. Mueller. The network helps show where Thomas D. Mueller may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas D. Mueller, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 266 | |
| 2 | 2012 | 236 | |
| 3 | 2004 | 184 | |
| 4 | 2015 | 178 | |
| 5 | 2012 | 155 | |
| 6 | 2002 | 154 | |
| 7 | 2017 | 154 | |
| 8 | 2002 | 146 | |
| 9 | 2010 | 146 | |
| 10 | 2007 | 134 | |
| 11 | 2007 | 130 | |
| 12 | 2005 | 128 | |
| 13 | 2015 | 122 | |
| 14 | 2004 | 118 | |
| 15 | 2016 | 117 | |
| 16 | 2009 | 107 | |
| 17 | 2000 | 106 | |
| 18 | 2019 | 103 | |
| 19 | 2008 | 101 | |
| 20 | 2003 | 98 |
About Thomas D. Mueller
Thomas D. Mueller is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Allergy and Rheumatology, having authored 102 papers that have together received 4.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (31 papers), Bone Metabolism and Diseases (12 papers), Cell Adhesion Molecules Research (11 papers), Connective tissue disorders research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Ubiquitin and proteasome pathways (8 papers), Connective Tissue Growth Factor Research (7 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Immunology and Allergy (206 citations), Rheumatology (459 citations), Oncology (687 citations) and Cell Biology (386 citations). Thomas D. Mueller has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Joachim Nickel, Walter Sebald, Juli Feigon, Jinli Zhang, Alexander Kotzsch, Timothy A. Springer, Andrew P. Hinck, Peter ten Dijke, Petra Knaus and David Yadin. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Molecular Pharmacology, Journal of Molecular Biology and The Journal of Clinical Endocrinology & Metabolism.
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.