Thomas Schroeter
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
- Oncology 4
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Ya‐Wen Liu (1 shared paper)Mark C. Surka (1 shared paper)Vasyl Lukiyanchuk (1 shared paper)Sandra L. Schmid (1 shared paper)Claire M. Steppan (2 shared papers)Marie‐Claire Peakman (1 shared paper)Marko J. Pregel (1 shared paper)Fabien Vincent (1 shared paper)
- Journals
- Molecular Biology of the Cell (1 paper)Assay and Drug Development Technologies (1 paper)Science Translational Medicine (1 paper)Journal of Medicinal Chemistry (1 paper)Chemical Research in Toxicology (1 paper)
- Partner nations
- United States
In The Last Decade
Thomas Schroeter
9 papers receiving 415 citations
Peers
Comparison fields: 5 of 78
- Cell Biology 122
- Biophysics 29
- Molecular Biology 279
- Computational Theory and Mathematics 42
- Pharmacology 18
Countries citing papers authored by Thomas Schroeter
This map shows the geographic impact of Thomas Schroeter'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 Schroeter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Schroeter more than expected).
Fields of papers citing papers by Thomas Schroeter
This network shows the impact of papers produced by Thomas Schroeter. 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 Schroeter. The network helps show where Thomas Schroeter may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Schroeter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 131 | |
| 2 | 2008 | 120 | |
| 3 | 2015 | 119 | |
| 4 | 2018 | 15 | |
| 5 | 2013 | 13 | |
| 6 | 2016 | 9 | |
| 7 | 2017 | 8 | |
| 8 | 2010 | 4 | |
| 9 | 2012 | 3 | |
| 10 | 2025 | 0 |
About Thomas Schroeter
Thomas Schroeter is a scholar working on Molecular Biology, Oncology, Pediatrics, Perinatology and Child Health, Cell Biology and Surgery, having authored 10 papers that have together received 422 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Autophagy in Disease and Therapy (2 papers), Pancreatic function and diabetes (1 paper), Metabolism and Genetic Disorders (1 paper), Cell Image Analysis Techniques (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cell Biology (122 citations), Biophysics (29 citations), Molecular Biology (279 citations), Computational Theory and Mathematics (42 citations) and Pharmacology (18 citations). Thomas Schroeter has collaborated with scholars based in United States. Frequent co-authors include Ya‐Wen Liu, Mark C. Surka, Vasyl Lukiyanchuk, Sandra L. Schmid, Claire M. Steppan, Marie‐Claire Peakman, Marko J. Pregel, Fabien Vincent, A. Gilbert and Karl Nocka. Their work appears in journals such as Molecular Biology of the Cell, Assay and Drug Development Technologies, Science Translational Medicine, Journal of Medicinal Chemistry and Chemical Research in Toxicology.
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.