Iván M. Moya
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Angiogenesis and VEGF in Cancer
- Ubiquitin and proteasome pathways
- Developmental Biology and Gene Regulation
- Kruppel-like factors research
Papers in
- Cell Biology 11
- Hippo pathway signaling and YAP/TAZ 10
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- Liver physiology and pathology 2
- Co-authors
- Georg HalderAn ZwijsenLieve UmansDanny HuylebroeckKaren BeetsChunyao TaoElke MaasEugenia M. del Pino
- Journals
- Cells (2 papers)Developmental Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Hepatology (1 paper)Cell Research (1 paper)
- Partner nations
- BelgiumEcuadorUnited States
In The Last Decade
Iván M. Moya
18 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cell Biology 980
- Molecular Biology 981
- Hepatology 84
- Cancer Research 140
- Biochemistry 62
Countries citing papers authored by Iván M. Moya
This map shows the geographic impact of Iván M. Moya'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 Iván M. Moya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván M. Moya more than expected).
Fields of papers citing papers by Iván M. Moya
This network shows the impact of papers produced by Iván M. Moya. 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 Iván M. Moya. The network helps show where Iván M. Moya may publish in the future.
Co-authors
The 25 scholars most cited alongside Iván M. Moya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 37 | |
| 4 | 2022 | 43 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 44 | |
| 7 | Hippo–YAP/TAZ signalling in organ regeneration and regenerative medicine Hit paper breakdown → | 2018 | 679 |
| 8 | 2017 | 273 | |
| 9 | 2017 | 15 | |
| 10 | 2016 | 42 | |
| 11 | 2015 | 100 | |
| 12 | 2014 | 24 | |
| 13 | 2013 | 63 | |
| 14 | 2012 | 58 | |
| 15 | 2012 | 178 | |
| 16 | 2012 | 23 | |
| 17 | 2007 | 41 | |
| 18 | 2006 | 27 | |
| 19 | 2004 | 35 |
About Iván M. Moya
Iván M. Moya is a scholar working on Cell Biology, Hepatology, Molecular Biology, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (10 papers), Developmental Biology and Gene Regulation (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Liver physiology and pathology (2 papers), Congenital heart defects research (2 papers), TGF-β signaling in diseases (2 papers), Cell death mechanisms and regulation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Cell Biology (980 citations), Molecular Biology (981 citations), Hepatology (84 citations), Cancer Research (140 citations) and Biochemistry (62 citations). Iván M. Moya has collaborated with scholars based in Belgium, Ecuador and United States. Frequent co-authors include Georg Halder, An Zwijsen, Lieve Umans, Danny Huylebroeck, Karen Beets, Chunyao Tao, Elke Maas, Eugenia M. del Pino, Paulo N. G. Pereira and Thomas Schmidt. Their work appears in journals such as Cells, Developmental Cell, Proceedings of the National Academy of Sciences, Journal of Hepatology and Cell Research.
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.