Thomas Wiese
- Molecular Biology top 10%
- Genetics top 5%
- Health, Toxicology and Mutagenesis top 5%
- Pathology and Forensic Medicine top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Wolfgang UtschickMatthew E. BurowDavid NeumannS.C. BrooksJohn A. McLachlanSteven ElliottStephen M. BouéCarol H. Carter‐Wientjes
- Topics
- Estrogen and related hormone effects (19 papers)Phytoestrogen effects and research (7 papers)Direction-of-Arrival Estimation Techniques (5 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Thomas Wiese
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 795
- Genetics 489
- Health, Toxicology and Mutagenesis 314
- Pathology and Forensic Medicine 280
- Computational Theory and Mathematics 222
Countries citing papers authored by Thomas Wiese
This map shows the geographic impact of Thomas Wiese'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 Wiese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Wiese more than expected).
Fields of papers citing papers by Thomas Wiese
This network shows the impact of papers produced by Thomas Wiese. 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 Wiese. The network helps show where Thomas Wiese may publish in the future.
Co-authorship network of co-authors of Thomas Wiese
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Wiese. A scholar is included among the top collaborators of Thomas Wiese based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Wiese. Thomas Wiese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | A Generalized Hard Thresholding Pursuit on Infinite Unions of Subspaces. | 1 |
| 3 | 3 | |
| 4 | Deep Channel Estimation | 6 |
| 5 | 76 | |
| 6 | Low-Rank Approximations for Spatial Channel Models. | 5 |
| 7 | 29 | |
| 8 | 4 | |
| 9 | 43 | |
| 10 | 34 | |
| 11 | 120 | |
| 12 | 46 | |
| 13 | 23 | |
| 14 | 91 | |
| 15 | 5 | |
| 16 | 102 | |
| 17 | 8 | |
| 18 | 34 | |
| 19 | 46 | |
| 20 | 54 |
About Thomas Wiese
Thomas Wiese is a scholar working on Toxicology, Genetics and Medical Laboratory Technology, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (19 papers), Phytoestrogen effects and research (7 papers) and Direction-of-Arrival Estimation Techniques (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (314 citations), Genetics (489 citations) and Biochemistry (101 citations). Thomas Wiese has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Wolfgang Utschick, Matthew E. Burow, David Neumann, S.C. Brooks, John A. McLachlan, Steven Elliott, Stephen M. Boué, Carol H. Carter‐Wientjes, Thomas E. Cleveland and Melyssa R. Bratton. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.
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.