Thomas Becker
- Clinical Biochemistry top 0.1%
- Metabolism and Genetic Disorders 29
- Molecular Biology top 0.5%
- Mitochondrial Function and Pathology 86
- ATP Synthase and ATPases Research 59
- RNA and protein synthesis mechanisms 15
- Metabolism, Diabetes, and Cancer 15
- Photosynthetic Processes and Mechanisms 15
- RNA modifications and cancer 15
- Aging top 2%
- Cell Biology top 1%
- Biochemistry top 1%
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- Pancreatic function and diabetes 26
- Co-authors
- Nikolaus PfannerEnrico SchleiffChristopher B. NewgardJiyao SongNils WiedemannBernard GuiardLena BöttingerRichard J. Noel
- Journals
- Journal of Biological Chemistry (22 papers)Cell Reports (7 papers)Journal of Molecular Biology (6 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Thomas Becker
147 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Clinical Biochemistry 1.3k
- Molecular Biology 7.1k
- Aging 143
- Cell Biology 918
- Biochemistry 308
Countries citing papers authored by Thomas Becker
This map shows the geographic impact of Thomas Becker'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 Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Becker more than expected).
Fields of papers citing papers by Thomas Becker
This network shows the impact of papers produced by Thomas Becker. 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 Becker. The network helps show where Thomas Becker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Becker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 66 | |
| 11 | 2022 | 8 | |
| 12 | 2018 | 23 | |
| 13 | 2018 | 109 | |
| 14 | 2018 | 68 | |
| 15 | 2017 | 50 | |
| 16 | 2015 | 25 | |
| 17 | 2015 | 27 | |
| 18 | 2015 | 74 | |
| 19 | 2005 | 359 | |
| 20 | Chapter 8 Use of Recombinant Adenovirus for Metabolic Engineering of Mammalian Cellsbreakdown → | 1994 | 528 |
About Thomas Becker
Thomas Becker is a scholar working on Clinical Biochemistry, Molecular Biology, Cell Biology, Geography, Planning and Development and Genetics, having authored 154 papers that have together received 9.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (86 papers), ATP Synthase and ATPases Research (59 papers), Metabolism and Genetic Disorders (29 papers), Pancreatic function and diabetes (26 papers), RNA and protein synthesis mechanisms (15 papers), Metabolism, Diabetes, and Cancer (15 papers), Photosynthetic Processes and Mechanisms (15 papers) and RNA modifications and cancer (15 papers). The work is most often cited by research in Clinical Biochemistry (1.3k citations), Molecular Biology (7.1k citations), Aging (143 citations), Cell Biology (918 citations) and Biochemistry (308 citations). Thomas Becker has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Nikolaus Pfanner, Enrico Schleiff, Christopher B. Newgard, Jiyao Song, Nils Wiedemann, Bernard Guiard, Lena Böttinger, Richard J. Noel, Chris Meisinger and Johannes M. Herrmann. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, Journal of Molecular Biology, Nature and Molecular Biology of the Cell.
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.