G. Davies

609 total citations
13 papers, 504 citations indexed

About

G. Davies is a scholar working on Molecular Biology, Hepatology and Cancer Research. According to data from OpenAlex, G. Davies has authored 13 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Hepatology and 3 papers in Cancer Research. Recurrent topics in G. Davies's work include Wnt/β-catenin signaling in development and cancer (6 papers), Liver physiology and pathology (4 papers) and Cancer-related gene regulation (3 papers). G. Davies is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (6 papers), Liver physiology and pathology (4 papers) and Cancer-related gene regulation (3 papers). G. Davies collaborates with scholars based in United Kingdom and Japan. G. Davies's co-authors include Wen G. Jiang, Malcolm D. Mason, M. Mason, Kunio Matsumoto, D.K. Whittaker, Takashi Nakamura, Gareth M. Watkins, Tracey A. Martin, Christian Parr and Jane Lane and has published in prestigious journals such as Biochemical and Biophysical Research Communications, The Journal of Urology and European Journal of Cancer.

In The Last Decade

G. Davies

13 papers receiving 497 citations

Peers

G. Davies
Comparison fields: 5 of 79
  • Molecular Biology 280
  • Cancer Research 110
  • Oncology 109
  • Hepatology 96
  • Pulmonary and Respiratory Medicine 58
Replace N. Kawelke with:
N. Kawelke Germany
Thomas G. D'Aquila United States
Jörg Weimer Germany
Geng Hu China
Sander P.J. Joosten Netherlands
Richard Torres United States
Tetsuyo ODAJIMA Japan
Qian‐Lin Hao United States
Michael L. Basara United States
Rebecca A. Wagenaar-Miller United States
N. Kawelke Germany View profile →
Citations per field, relative to G. Davies
G. Davies · 1×
Citations per year, relative to G. Davies
G. Davies · 1×

Countries citing papers authored by G. Davies

Since Specialization
Citations

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

Fields of papers citing papers by G. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of G. Davies. A scholar is included among the top collaborators of G. Davies 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 G. Davies. G. Davies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 13
2 28
3 69
4 43
5 27
6 17
7
Matrilysin mediates extracellular cleavage of E-cadherin from prostate cancer cells: a key mechanism in hepatocyte growth factor/scatter factor-induced cell-cell dissociation and in vitro invasion.
143
8 63
9
Cell-cell adhesion molecules and their associated proteins in bladder cancer cells and their role in mitogen induced cell-cell dissociation and invasion.
23
10 11
11 4
12 18
13 45

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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2026