Thomas Wiesmüller

24 total papers · 458 total citations
21 papers, 384 citations indexed

About

Thomas Wiesmüller is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Pharmacology. According to data from OpenAlex, Thomas Wiesmüller has authored 21 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Health, Toxicology and Mutagenesis, 6 papers in Cancer Research and 4 papers in Pharmacology. Recurrent topics in Thomas Wiesmüller's work include Toxic Organic Pollutants Impact (17 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Thomas Wiesmüller is often cited by papers focused on Toxic Organic Pollutants Impact (17 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Carcinogens and Genotoxicity Assessment (6 papers). Thomas Wiesmüller collaborates with scholars based in Germany, United States and Ireland. Thomas Wiesmüller's co-authors include Hanspaul Hagenmaier, Diether Neubert, Karl Walter Bock, Dieter Schrenk, Ralf Krowke, Klaus Abraham, Hans‐Peter Lipp, Georg Golor, Hans Lipp and Rainer Malisch and has published in prestigious journals such as Chemosphere, Archives of Toxicology and Archives of Environmental Contamination and Toxicology.

In The Last Decade

Thomas Wiesmüller

21 papers receiving 366 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Wiesmüller 331 138 48 37 18 21 384
K. Farrell 254 0.8× 143 1.0× 39 0.8× 29 0.8× 42 2.3× 13 369
Annsofi Nihlén 153 0.5× 126 0.9× 27 0.6× 21 0.6× 20 1.1× 14 390
Janette R. Cushman 138 0.4× 157 1.1× 51 1.1× 37 1.0× 50 2.8× 20 408
Similica Cucos 302 0.9× 161 1.2× 15 0.3× 24 0.6× 30 1.7× 12 429
Carlyle D. Flemming 214 0.6× 154 1.1× 18 0.4× 36 1.0× 44 2.4× 26 391
B Zmudzka 341 1.0× 171 1.2× 47 1.0× 51 1.4× 30 1.7× 8 408
W.R.F. Notten 178 0.5× 107 0.8× 11 0.2× 46 1.2× 42 2.3× 19 438
June A. Bradlaw 240 0.7× 137 1.0× 29 0.6× 39 1.1× 63 3.5× 24 427
Rob Theelen 296 0.9× 102 0.7× 67 1.4× 36 1.0× 24 1.3× 15 374
Birgül Mazmancı 223 0.7× 109 0.8× 80 1.7× 25 0.7× 48 2.7× 25 443

Countries citing papers authored by Thomas Wiesmüller

Since Specialization
Citations

This map shows the geographic impact of Thomas Wiesmüller'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 Wiesmüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Wiesmüller more than expected).

Fields of papers citing papers by Thomas Wiesmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Wiesmüller. 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 Wiesmüller. The network helps show where Thomas Wiesmüller may publish in the future.

Co-authorship network of co-authors of Thomas Wiesmüller

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Wiesmüller. A scholar is included among the top collaborators of Thomas Wiesmüller 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 Wiesmüller. Thomas Wiesmüller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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