Torsten Thalheim

667 citations
25 papers · 433 indexed · h-index 11

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Skin and Cellular Biology Research
    • Hippo pathway signaling and YAP/TAZ

Papers in

Torsten Thalheim

23 papers receiving 425 citations

Peers

Torsten Thalheim
Comparison fields: 5 of 97
  • Aging 28
  • Cell Biology 152
  • Molecular Biology 214
  • Oncology 78
  • Urology 15
Replace Olesya V. Bukach with:
Olesya V. Bukach Russia
Thomas Jackson United Kingdom
Ian Greenberg United States
Mufeng Hu United States
Lauren V. Albrecht United States
Moshe C. Silverstein United States
Ik Soo Kim South Korea
Melissa Desouza Australia
Taryn E. Gillies United States
Karsten Seeger Germany
Torsten Thalheim relative to Olesya V. Bukach Russia Olesya V. Bukach's profile →
Citations per field
00.5×1.5×2.2×
Olesya V. Bukach · 1×
Citations per year

Countries citing papers authored by Torsten Thalheim

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Thalheim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20246
4 20226
5 20221
6 202113
7 20210
8 20204
9 201918
10 201811
11 201813
12 2017196
13 201731
14 201710
15 201614
16 20152
17 201345
18 201025
19 20102
20 19993

About Torsten Thalheim

Torsten Thalheim is a scholar working on Aging, Family Practice, Modeling and Simulation, Computational Theory and Mathematics and Geriatrics and Gerontology, having authored 25 papers that have together received 433 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Cancer Cells and Metastasis (6 papers), Computational Drug Discovery Methods (5 papers), Cellular Mechanics and Interactions (3 papers), Protein Structure and Dynamics (2 papers), Chemistry and Chemical Engineering (2 papers), RNA modifications and cancer (2 papers) and Free Radicals and Antioxidants (2 papers). The work is most often cited by research in Aging (28 citations), Cell Biology (152 citations), Molecular Biology (214 citations), Oncology (78 citations) and Urology (15 citations). Torsten Thalheim has collaborated with scholars based in Germany, Australia and France. Frequent co-authors include Joerg Galle, Maria Herberg, Jürgen Sühnel, Martial Balland, Yekaterina A. Miroshnikova, Matthias Rübsam, Irène Wang, Carien M. Niessen, David A. Schneider and Julien Polleux. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Cheminformatics, Cells, Clinical Epigenetics and International Journal of Environmental Research and Public Health.

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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