Martina Keith

833 citations
15 papers · 688 · h-index 10

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • Microtubule and mitosis dynamics 2
    • Cellular Mechanics and Interactions 2
    • Skin and Cellular Biology Research 2

Martina Keith

15 papers receiving 675 citations

Peers

Martina Keith
Comparison fields: 5 of 70
  • Cell Biology 205
  • Cancer Research 90
  • Molecular Biology 359
  • Urology 25
  • Oncology 111
Replace Massimo Teson with:
Massimo Teson Italy
Takeshi Ariyama Japan
Lars Hummerich Germany
W. Nürnberg Germany
Marianne Quaas Germany
Karen R. Groot United Kingdom
Giuditta Viticchiè United Kingdom
Juergen Behrens Germany
Wendy van Veelen Netherlands
Doris Schneller Austria
Martina Keith relative to Massimo Teson Italy Massimo Teson's profile →
Citations per field
00.5×1.5×1.9×
Massimo Teson · 1×
Citations per year

Countries citing papers authored by Martina Keith

Since Specialization
Citations

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

Fields of papers citing papers by Martina Keith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1993169
2 1995159
3 200799
4 200983
5 201044
6 201628
7 201722
8 201021
9 201718
10 201514
11 20059
12 20049
13
Ajuga turkestanica increases Notch and Wnt signaling in aged skeletal muscle.
20146
14 20054
15 20053

About Martina Keith

Martina Keith is a scholar working on Molecular Biology, Cell Biology, Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 15 papers that have together received 688 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (2 papers), Microtubule and mitosis dynamics (2 papers), Gastrointestinal disorders and treatments (2 papers), Autophagy in Disease and Therapy (2 papers), Genetic factors in colorectal cancer (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cellular Mechanics and Interactions (2 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Cell Biology (205 citations), Cancer Research (90 citations), Molecular Biology (359 citations), Urology (25 citations) and Oncology (111 citations). Martina Keith has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Ralf Zimbelmann, Werner W. Franke, Peter Schirmacher, Roland Moll, Peter J. Koch, Michael Kasper, Stephan Singer, Volker Ehemann, Kai Breuhahn and Ansgar Schmidt. Their work appears in journals such as Oncotarget, Differentiation, Cancer Research, International Journal of Oncology and Hepatology.

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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