Thomas Wiese

57 papers receiving 2.0k citations

Peers

Thomas Wiese
Comparison fields: 5 of 132
  • Health, Toxicology and Mutagenesis 312
  • Genetics 465
  • Pathology and Forensic Medicine 275
  • Biochemistry 95
  • Toxicology 51
Replace Rob Stierum with:
Rob Stierum Netherlands
Leming Shi United States
Daniela Sciaky United States
Qian Xie China
Meirong Xu China
Srilatha Sakamuru United States
Cynthia A. Afshari United States
Wenwen Huang China
Cynthia Grondin United States
Habtom W. Ressom United States
Thomas Wiese relative to Rob Stierum Netherlands Rob Stierum's profile →
Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Thomas Wiese

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Thomas Wiese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Wiese Line = papers co-authored together Thomas Wiese links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018210
2 2003192
3 1996171
4 2012121
5 2001103
6 201098
7 200891
8 201776
9 201671
10 199761
11 199254
12 200850
13 199449
14 199346
15 201146
16 201045
17 201443
18 201235
19 199434
20 201531

About Thomas Wiese

Thomas Wiese is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Health, Toxicology and Mutagenesis and Organic Chemistry, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (17 papers), Phytoestrogen effects and research (7 papers), Direction-of-Arrival Estimation Techniques (5 papers), Microwave Imaging and Scattering Analysis (5 papers), Computational Drug Discovery Methods (5 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (312 citations), Genetics (465 citations), Pathology and Forensic Medicine (275 citations), Biochemistry (95 citations) and Toxicology (51 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, Stephen M. Boué, Steven Elliott, Carol H. Carter‐Wientjes, Thomas E. Cleveland and Melyssa R. Bratton. Their work appears in journals such as Journal of Medicinal Chemistry, IEEE Transactions on Signal Processing, The Journal of Steroid Biochemistry and Molecular Biology, Journal of Agricultural and Food Chemistry and Environmental Health Perspectives.

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.

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