Juan Cueva
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Risks and Factors
Papers in
- Oncology 17
- Cancer Cells and Metastasis 4
- Cancer Risks and Factors 4
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Rafael López‐López (19 shared papers)Clotilde Costa (8 shared papers)Miguel Abal (6 shared papers)Laura Muinelo‐Romay (9 shared papers)Lorena Alonso‐Alconada (3 shared papers)Patricia Palacios (7 shared papers)A. De la Fuente (2 shared papers)Alicia Abalo (6 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Clinical & Translational Oncology (5 papers)Cancers (4 papers)International Journal of Gynecological Cancer (3 papers)Gynecologic Oncology (2 papers)
- Partner nations
- SpainUnited KingdomGermany
In The Last Decade
Juan Cueva
37 papers receiving 643 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 220
- Oncology 291
- Obstetrics and Gynecology 41
- Reproductive Medicine 46
- Molecular Biology 230
Countries citing papers authored by Juan Cueva
This map shows the geographic impact of Juan Cueva'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 Juan Cueva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Cueva more than expected).
Fields of papers citing papers by Juan Cueva
This network shows the impact of papers produced by Juan Cueva. 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 Juan Cueva. The network helps show where Juan Cueva may publish in the future.
Co-authors
The 25 scholars most cited alongside Juan Cueva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 73 | |
| 2 | 2009 | 54 | |
| 3 | 2020 | 52 | |
| 4 | 2003 | 40 | |
| 5 | 2019 | 40 | |
| 6 | 2011 | 35 | |
| 7 | 2017 | 34 | |
| 8 | 2015 | 32 | |
| 9 | 2018 | 29 | |
| 10 | 2021 | 25 | |
| 11 | 2020 | 24 | |
| 12 | 2008 | 22 | |
| 13 | 2019 | 20 | |
| 14 | 2020 | 19 | |
| 15 | 2013 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 2012 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 2022 | 11 |
About Juan Cueva
Juan Cueva is a scholar working on Oncology, Cancer Research, Molecular Biology, Obstetrics and Gynecology and Reproductive Medicine, having authored 41 papers that have together received 651 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Endometrial and Cervical Cancer Treatments (7 papers), Cancer Genomics and Diagnostics (6 papers), Cancer Cells and Metastasis (4 papers), Hormonal Regulation and Hypertension (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer Risks and Factors (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Cancer Research (220 citations), Oncology (291 citations), Obstetrics and Gynecology (41 citations), Reproductive Medicine (46 citations) and Molecular Biology (230 citations). Juan Cueva has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Rafael López‐López, Clotilde Costa, Miguel Abal, Laura Muinelo‐Romay, Lorena Alonso‐Alconada, Patricia Palacios, A. De la Fuente, Alicia Abalo, Tomás García‐Caballero and Teresa Curiel. Their work appears in journals such as Journal of Clinical Oncology, Clinical & Translational Oncology, Cancers, International Journal of Gynecological Cancer and Gynecologic Oncology.
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.