T. Werner

778 citations
15 papers · 490 · h-index 8

Impact in

Papers in

T. Werner

13 papers receiving 483 citations

Peers

T. Werner
Comparison fields: 5 of 70
  • Developmental Neuroscience 122
  • Cancer Research 171
  • Molecular Biology 326
  • Genetics 98
  • Cellular and Molecular Neuroscience 45
Replace Laura J.A. Hardwick with:
Laura J.A. Hardwick United Kingdom
Xiaomin Du China
Zulekha A. Qadeer United States
Ariane Baudhuin United States
Frederick Rehfeld United States
Rebecca Petri Sweden
Raffaella Catena France
Susanne Klum Sweden
Yanzhen Bi China
Abhijeet Pataskar Germany
T. Werner relative to Laura J.A. Hardwick United Kingdom Laura J.A. Hardwick's profile →
Citations per field
00.5×3.1×
Laura J.A. Hardwick · 1×
Citations per year

Countries citing papers authored by T. Werner

Since Specialization
Citations

This map shows the geographic impact of T. 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 T. Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Werner more than expected).

Fields of papers citing papers by T. Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2006222
2 2007108
3 200646
4 200534
5 200431
6 199117
7 201512
8 19868
9
Common carotid artery molecular calcification assessed by 18F-NaF PET/CT is associated with increased cardiovascular disease risk: Results from the CAMONA study
20176
10
Global assessment of cardiovascular NaF uptake is superior to FDG in the era of atherosclerosis imaging
20172
11
SoxD proteins influence multiple stages of oligodendrocyte development and modulate SoxE protein function
20061
12 20081
13 20081
14 20121
15 20120

About T. Werner

T. Werner is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 490 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (2 papers), RNA regulation and disease (2 papers), Cardiac Imaging and Diagnostics (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Muscle activation and electromyography studies (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and Advanced Sensor and Energy Harvesting Materials (1 paper). The work is most often cited by research in Developmental Neuroscience (122 citations), Cancer Research (171 citations), Molecular Biology (326 citations), Genetics (98 citations) and Cellular and Molecular Neuroscience (45 citations). T. Werner has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Michael Wegner, Michael R. Bösl, Mandy Wahlbuhl, Petra Lommes, Anita Schlierf, C. Claus Stolt, William D. Richardson, Véronique Lefebvre, Simone Hillgärtner and Nicoletta Kessaris. Their work appears in journals such as Journal of Molecular Biology, MTZ - Motortechnische Zeitschrift, Journal of Animal Science, Developmental Cell and Nucleic Acids Research.

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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