Thomas Franke
- Molecular Biology top 0.2%
- Oncology top 1%
- Physiology top 0.5%
- Immunology top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Co-authors
- David R. KaplanLewis C. CantleyJohn C. ReedMichael H. CardoneNatalie RoyEric J. StanbridgeGuy S. SalvesenHenning R. Stennicke
- Topics
- PI3K/AKT/mTOR signaling in cancer (21 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)Cell death mechanisms and regulation (6 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Thomas Franke
47 papers receiving 17.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 11.8k
- Oncology 2.4k
- Physiology 2.2k
- Immunology 2.1k
- Cellular and Molecular Neuroscience 1.9k
Countries citing papers authored by Thomas Franke
This map shows the geographic impact of Thomas Franke'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 Franke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Franke more than expected).
Fields of papers citing papers by Thomas Franke
This network shows the impact of papers produced by Thomas Franke. 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 Franke. The network helps show where Thomas Franke may publish in the future.
Co-authorship network of co-authors of Thomas Franke
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Franke. A scholar is included among the top collaborators of Thomas Franke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Franke. Thomas Franke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 99 | |
| 3 | 316 | |
| 4 | 20 | |
| 5 | 42 | |
| 6 | 97 | |
| 7 | 39 | |
| 8 | 32 | |
| 9 | 142 | |
| 10 | PI3K/Akt and apoptosis: size mattersbreakdown → | 1014 |
| 11 | 33 | |
| 12 | 200 | |
| 13 | Regulation of endothelium-derived nitric oxide production by the protein kinase Aktbreakdown → | 2179 |
| 14 | 148 | |
| 15 | 65 | |
| 16 | 43 | |
| 17 | PI3K: Downstream AKTion Blocks Apoptosisbreakdown → | 1501 |
| 18 | 154 | |
| 19 | Frühklassizismus : Position und Opposition : Winckelmann, Mengs, Heinse | 0 |
| 20 | Die Legionslegaten der römischen Armee in der Zeit von Augustus bis Traian | 3 |
About Thomas Franke
Thomas Franke is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience, having authored 49 papers that have together received 17.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (21 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Molecular Biology (11.8k citations), Developmental Neuroscience (516 citations) and Cancer Research (1.8k citations). Thomas Franke has collaborated with scholars based in United States, Canada and France. Frequent co-authors include David R. Kaplan, Lewis C. Cantley, John C. Reed, Michael H. Cardone, Natalie Roy, Eric J. Stanbridge, Guy S. Salvesen, Henning R. Stennicke, Steven M. Frisch and Geoffrey M. Cooper. Their work appears in journals such as Nature, Science and 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.