Tobias A. Beyer
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 6
- Genomics, phytochemicals, and oxidative stress 6
- CRISPR and Genetic Engineering 4
- Glutathione Transferases and Polymorphisms 3
- Renal and related cancers 3
- Fibroblast Growth Factor Research 2
- Hepatology top 5%
- Liver physiology and pathology 2
- Cell Biology top 5%
- Aging top 10%
- Cancer Research top 10%
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- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Jeffrey L. WranaSabine WernerLaurent DavidHoon‐Ki SungPayman Samavarchi‐TehraniKnut WoltjenAlessandro DattiAndrás Nagy
- Journals
- Neurology Neuroimmunology & Neuroinflammation (2 papers)Molecular and Cellular Biology (1 paper)Biology (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Tobias A. Beyer
23 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.5k
- Hepatology 151
- Cell Biology 268
- Aging 25
- Cancer Research 174
Countries citing papers authored by Tobias A. Beyer
This map shows the geographic impact of Tobias A. Beyer'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 Tobias A. Beyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias A. Beyer more than expected).
Fields of papers citing papers by Tobias A. Beyer
This network shows the impact of papers produced by Tobias A. Beyer. 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 Tobias A. Beyer. The network helps show where Tobias A. Beyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tobias A. Beyer, 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 | 2024 | 4 | |
| 2 | 2023 | 33 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 13 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 3 | |
| 8 | 2017 | 70 | |
| 9 | 2015 | 3 | |
| 10 | 2013 | 239 | |
| 11 | 2012 | 71 | |
| 12 | Functional Genomics Reveals a BMP-Driven Mesenchymal-to-Epithelial Transition in the Initiation of Somatic Cell Reprogrammingbreakdown → | 2010 | 777 |
| 13 | 2008 | 42 | |
| 14 | 2008 | 169 | |
| 15 | 2007 | 67 | |
| 16 | 2007 | 230 | |
| 17 | 2006 | 48 | |
| 18 | 2004 | 16 | |
| 19 | 2003 | 45 | |
| 20 | 1994 | 2 |
About Tobias A. Beyer
Tobias A. Beyer is a scholar working on Dermatology, Biological Psychiatry, Neurology, Hepatology and Molecular Biology, having authored 23 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Genomics, phytochemicals, and oxidative stress (6 papers), CRISPR and Genetic Engineering (4 papers), Glutathione Transferases and Polymorphisms (3 papers), Renal and related cancers (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Fibroblast Growth Factor Research (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Hepatology (151 citations), Cell Biology (268 citations), Aging (25 citations) and Cancer Research (174 citations). Tobias A. Beyer has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Jeffrey L. Wrana, Sabine Werner, Laurent David, Hoon‐Ki Sung, Payman Samavarchi‐Tehrani, Knut Woltjen, Alessandro Datti, András Nagy, Azadeh Golipour and Philippe Bugnon. Their work appears in journals such as Neurology Neuroimmunology & Neuroinflammation, Molecular and Cellular Biology, Biology, Brain Communications and Nature Communications.
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.