Aristidis Moustakas

22.0k citations
161 papers · 17.8k indexed · 9 hit papers · h-index 68

Aristidis Moustakas

161 papers receiving 17.6k citations

Hit Papers

TGF-β Signaling5692001202620092017250500750

Peers

Aristidis Moustakas
Comparison fields: 5 of 142
  • Cancer Research 3.5k
  • Oncology 5.7k
  • Molecular Biology 13.1k
  • Immunology and Allergy 935
  • Cell Biology 1.5k
Replace Ying E. Zhang with:
Ying E. Zhang United States
Hans‐Peter Gerber United States
Xin‐Hua Feng United States
Amparo Cano Spain
Hellmut G. Augustin Germany
Caroline S. Hill United Kingdom
Richard Poulsom United Kingdom
Lalage M. Wakefield United States
Kathleen C. Flanders United States
Rosemary J. Akhurst United States
Aristidis Moustakas relative to Ying E. Zhang United States Ying E. Zhang's profile →
Citations per field
00.5×3.6×
Ying E. Zhang · 1×
Citations per year

Countries citing papers authored by Aristidis Moustakas

Since Specialization
Citations

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

Fields of papers citing papers by Aristidis Moustakas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20231
3 20222
4 20229
5 202213
6 20214
7 202118
8 202029
9 201844
10 201734
11 201724
12 201422
13 201229
14 201122
15 201025
16 2008157
17 2006445
18 200592
19 2002440
20 199453

About Aristidis Moustakas

Aristidis Moustakas is a scholar working on Oncology, Immunology and Allergy and Molecular Biology, having authored 161 papers that have together received 17.8k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (91 papers), Cancer Cells and Metastasis (39 papers), Pancreatic and Hepatic Oncology Research (20 papers), Cancer-related gene regulation (18 papers), Genetic factors in colorectal cancer (17 papers), Cell Adhesion Molecules Research (14 papers), Kruppel-like factors research (13 papers) and Hedgehog Signaling Pathway Studies (10 papers). The work is most often cited by research in Cancer Research (3.5k citations), Oncology (5.7k citations) and Molecular Biology (13.1k citations). Aristidis Moustakas has collaborated with scholars based in Sweden, United States and Greece. Frequent co-authors include Carl‐Henrik Heldin, Katerina Pardali, Dimitris Kardassis, Kalliopi Tzavlaki, Ulrich Valcourt, Serhiy Souchelnytskyi, Marcin Kowanetz, Peter ten Dijke, Anita Morén and Akira Kurisaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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