Marta Prieto‐Vila
- Cancer Research top 5%
- MicroRNA in disease regulation 6
- Cancer Genomics and Diagnostics 3
- Oncology top 5%
- Cancer Cells and Metastasis 8
- Molecular Biology top 10%
- Extracellular vesicles in disease 6
- Circular RNAs in diseases 4
- Single-cell and spatial transcriptomics 2
- Pluripotent Stem Cells Research 2
- Hepatology top 10%
-
- Pancreatic function and diabetes 3
- Co-authors
- Takahiro OchiyaWataru UsubaIsaku KohamaRyou TakahashiRyou‐u TakahashiYusuke YoshiokaRyou-u TakahashiTomonari Kasai
- Journals
- American Journal of Cancer Research (2 papers)International Journal of Molecular Sciences (2 papers)Cancer Research (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Marta Prieto‐Vila
20 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Cancer Research 513
- Oncology 504
- Molecular Biology 855
- Hepatology 75
- Biotechnology 43
Countries citing papers authored by Marta Prieto‐Vila
This map shows the geographic impact of Marta Prieto‐Vila'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 Marta Prieto‐Vila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Prieto‐Vila more than expected).
Fields of papers citing papers by Marta Prieto‐Vila
This network shows the impact of papers produced by Marta Prieto‐Vila. 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 Marta Prieto‐Vila. The network helps show where Marta Prieto‐Vila may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marta Prieto‐Vila, 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 | 2024 | 6 | |
| 2 | 2022 | 18 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 45 | |
| 5 | 2020 | 39 | |
| 6 | 2019 | 39 | |
| 7 | 2019 | 58 | |
| 8 | 2019 | 24 | |
| 9 | 2019 | 91 | |
| 10 | 2019 | 51 | |
| 11 | 2019 | 100 | |
| 12 | 2018 | 36 | |
| 13 | [MicroRNA in Body Fluids - Development of the Novel Plat Form for Cancer Therapeutics and Diagnosis]. | 2018 | 3 |
| 14 | 2017 | 92 | |
| 15 | 2017 | 140 | |
| 16 | Drug Resistance Driven by Cancer Stem Cells and Their Nichebreakdown → | 2017 | 384 |
| 17 | 2017 | 3 | |
| 18 | A new PDAC mouse model originated from iPSCs-converted pancreatic cancer stem cells (CSCcm). | 2016 | 42 |
| 19 | iPSC-derived cancer stem cells provide a model of tumor vasculature. | 2016 | 38 |
| 20 | 2013 | 41 |
About Marta Prieto‐Vila
Marta Prieto‐Vila is a scholar working on Cancer Research, Oncology and Hepatology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic function and diabetes (3 papers), Single-cell and spatial transcriptomics (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Cancer Research (513 citations), Oncology (504 citations) and Molecular Biology (855 citations). Marta Prieto‐Vila has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takahiro Ochiya, Wataru Usuba, Isaku Kohama, Ryou Takahashi, Ryou‐u Takahashi, Yusuke Yoshioka, Ryou-u Takahashi, Tomonari Kasai, Masaharu Seno and Akiko Kogure. Their work appears in journals such as American Journal of Cancer Research, International Journal of Molecular Sciences, Cancer Research, Scientific Reports and Clinical Chemistry and Laboratory Medicine (CCLM).
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.