Thomas Schroeter
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
- Oncology 4
- Drug Transport and Resistance Mechanisms 3
-
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Mark C. Surka (1 shared paper)Vasyl Lukiyanchuk (1 shared paper)Ya‐Wen Liu (1 shared paper)Sandra L. Schmid (1 shared paper)Claire M. Steppan (2 shared papers)Adam M. Gilbert (1 shared paper)Marie‐Claire Peakman (1 shared paper)Karl H. Nocka (1 shared paper)
- Journals
- Future Medicinal Chemistry (1 paper)Chemical Research in Toxicology (1 paper)Toxicology in Vitro (1 paper)Cellular and Molecular Life Sciences (1 paper)Drug Metabolism and Disposition (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Thomas Schroeter
11 papers receiving 459 citations
Peers
Comparison fields: 5 of 85
- Cell Biology 126
- Biophysics 36
- Molecular Biology 290
- Computational Theory and Mathematics 46
- Pharmacology 22
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 | 2015 | 149 | |
| 2 | 2009 | 138 | |
| 3 | 2008 | 122 | |
| 4 | 2018 | 15 | |
| 5 | 2013 | 14 | |
| 6 | 2016 | 11 | |
| 7 | 2017 | 9 | |
| 8 | 2012 | 5 | |
| 9 | 2025 | 5 | |
| 10 | 2012 | 4 | |
| 11 | 2010 | 4 |
About Thomas Schroeter
Thomas Schroeter is a scholar working on Oncology, Cell Biology, Pediatrics, Perinatology and Child Health, Pharmacology and Molecular Biology, having authored 11 papers that have together received 476 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Autophagy in Disease and Therapy (2 papers), Computational Drug Discovery Methods (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), CRISPR and Genetic Engineering (1 paper), Retinal Development and Disorders (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cell Biology (126 citations), Biophysics (36 citations), Molecular Biology (290 citations), Computational Theory and Mathematics (46 citations) and Pharmacology (22 citations). Thomas Schroeter has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Mark C. Surka, Vasyl Lukiyanchuk, Ya‐Wen Liu, Sandra L. Schmid, Claire M. Steppan, Adam M. Gilbert, Marie‐Claire Peakman, Karl H. Nocka, Linda Kitching and Marko J. Pregel. Their work appears in journals such as Future Medicinal Chemistry, Chemical Research in Toxicology, Toxicology in Vitro, Cellular and Molecular Life Sciences and Drug Metabolism and Disposition.
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.