Gal Akiri

1.7k total citations
15 papers, 1.4k citations indexed

About

Gal Akiri is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Gal Akiri has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Gal Akiri's work include Wnt/β-catenin signaling in development and cancer (7 papers), Cancer-related gene regulation (7 papers) and Kruppel-like factors research (4 papers). Gal Akiri is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (7 papers), Cancer-related gene regulation (7 papers) and Kruppel-like factors research (4 papers). Gal Akiri collaborates with scholars based in United States, Israel and Argentina. Gal Akiri's co-authors include Stuart A. Aaronson, Ofra Kessler, Gera Neufeld, Luca Grumolato, Ajish George, Ravi Sachidanandam, Guizhong Liu, Dorit Nahari, Orna Elroy‐Stein and Shu‐Yun Le and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Gal Akiri

15 papers receiving 1.3k citations

Peers

Gal Akiri
Comparison fields: 5 of 91
  • Molecular Biology 1.0k
  • Oncology 296
  • Cancer Research 245
  • Cell Biology 145
  • Immunology 139
Replace Virginie Mattot with:
Virginie Mattot France
Laura Gualandi Sweden
Norbert Schuster Germany
Jennifer M. Tran United States
Tam How United States
Chad L. Barber United States
Marko Hyytiäinen Finland
Greg Conn United States
Daniel Sherman United States
Debora Salani Italy
Virginie Mattot France View profile →
Citations per field, relative to Gal Akiri
Gal Akiri · 1×
Citations per year, relative to Gal Akiri
Gal Akiri · 1×

Countries citing papers authored by Gal Akiri

Since Specialization
Citations

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

Fields of papers citing papers by Gal Akiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gal Akiri

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 42
2 195
3 54
4 1
5 41
6 108
7 14
8 119
9 134
10 4
11 104
12 150
13 4
14
Lysyl oxidase-related protein-1 promotes tumor fibrosis and tumor progression in vivo.
168
15 216

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