Thomas Franke

20.9k citations
49 papers · 17.6k indexed · 9 hit papers · h-index 36

Thomas Franke

47 papers receiving 17.4k citations

Hit Papers

PI3K/Akt and apoptosis: size matters1.0k199520262005201550010001.5k2.0k2.5k

Peers

Thomas Franke
Comparison fields: 5 of 148
  • Molecular Biology 11.8k
  • Developmental Neuroscience 516
  • Cancer Research 1.8k
  • Cellular and Molecular Neuroscience 1.9k
  • Immunology 2.1k
Replace Ella Bossy‐Wetzel with:
Ella Bossy‐Wetzel United States
David S. Latchman United Kingdom
Yo Sasaki Japan
Satoru Takahashi Japan
Steven Pelech Canada
Richard F. Keep United States
Yusaku Nakabeppu Japan
Daria Mochly‐Rosen United States
Inderjit Singh United States
Helga E. de Vries Netherlands
Thomas Franke relative to Ella Bossy‐Wetzel United States Ella Bossy‐Wetzel's profile →
Citations per field
00.5×1.7×
Ella Bossy‐Wetzel · 1×
Citations per year

Countries citing papers authored by Thomas Franke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20185
2 201399
3 2012316
4 200820
5 200542
6 200497
7 200439
8 200432
9 2003142
10
PI3K/Akt and apoptosis: size mattersbreakdown →
20031014
11 200233
12 2000200
13
Regulation of endothelium-derived nitric oxide production by the protein kinase Aktbreakdown →
19992179
14 1999148
15 199865
16 199843
17
PI3K: Downstream AKTion Blocks Apoptosisbreakdown →
19971501
18 1997154
19
Frühklassizismus : Position und Opposition : Winckelmann, Mengs, Heinse
19950
20
Die Legionslegaten der römischen Armee in der Zeit von Augustus bis Traian
19913

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), Cell death mechanisms and regulation (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cancer-related gene regulation (4 papers) and Multiple Myeloma Research and Treatments (3 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.

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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