Thomas Werner

13.0k citations
152 papers · 10.2k indexed · 2 hit papers · h-index 43

Thomas Werner

148 papers receiving 10.0k citations

Hit Papers

MatInspector and beyond: promoter analysis based on trans...1.6k199520262005201550010001.5k2.0k

Peers

Thomas Werner
Comparison fields: 5 of 166
  • Immunology 2.1k
  • Molecular Biology 6.2k
  • Insect Science 877
  • Aging 108
  • Genetics 1.5k
Replace Tobias Doerks with:
Tobias Doerks Germany
Marilyn Kozak United States
Anushya Muruganujan United States
Huaiyu Mi United States
Richard S. Johnson United States
Lakshminarayan M. Iyer United States
Marco Y. Hein Germany
Y. Tony Ip United States
Michael A. Frohman United States
Sumio Sugano Japan
Thomas Werner relative to Tobias Doerks Germany Tobias Doerks's profile →
Citations per field
00.5×3.1×
Tobias Doerks · 1×
Citations per year

Countries citing papers authored by Thomas Werner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Thomas Werner, 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 Werner Line = papers co-authored together Thomas Werner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20248
4 20232
5 20231
6 20222
7 20225
8 20222
9 202246
10 20214
11 20213
12 202110
13 20205
14 201930
15 201710
16 2008130
17 2003114
18 2002493
19
A New Tool for the in Silico Prediction of Matrix Attachment Regions in Large Genomic Sequences.
20003
20
Kohonen maps are suitable for a biologically meaningful classification of transcription factor binding site matrices.
19992

About Thomas Werner

Thomas Werner is a scholar working on Biochemistry, Molecular Biology, Insect Science, Spectroscopy and Genetics, having authored 152 papers that have together received 10.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (23 papers), Genomics and Chromatin Dynamics (23 papers), Molecular Sensors and Ion Detection (16 papers), Genomics and Phylogenetic Studies (16 papers), RNA Research and Splicing (11 papers), Luminescence and Fluorescent Materials (10 papers), Chromosomal and Genetic Variations (10 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Immunology (2.1k citations), Molecular Biology (6.2k citations), Insect Science (877 citations), Aging (108 citations) and Genetics (1.5k citations). Thomas Werner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Kornelie Frech, Kerstin Quandt, Edgar Wingender, Holger Karas, Andreas Klingenhoff, Korbinian Grote, Matthias Frisch, Dan Hultmark, Manuela Haltmeier and Bernward Klocke. Their work appears in journals such as ACS Applied Bio Materials, Gene, Nucleic Acids Research, Computer applications in the biosciences and Journal of Materials Chemistry B.

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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