Iván Díaz-Padilla
- Oncology top 5%
- Molecular Biology
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Reproductive Medicine top 2%
- Co-authors
- Eitan AmirLillian L. SiuPhilippe L. BédardMustafa Al-MubarakArnoud J. TempletonBoštjan ŠerugaAlberto OcañaIan F. Tannock
- Topics
- Ovarian cancer diagnosis and treatment (14 papers)Advanced Breast Cancer Therapies (11 papers)Cancer Treatment and Pharmacology (9 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Iván Díaz-Padilla
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Oncology 728
- Molecular Biology 634
- Cancer Research 392
- Pulmonary and Respiratory Medicine 273
- Reproductive Medicine 260
Countries citing papers authored by Iván Díaz-Padilla
This map shows the geographic impact of Iván Díaz-Padilla'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 Díaz-Padilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Díaz-Padilla more than expected).
Fields of papers citing papers by Iván Díaz-Padilla
This network shows the impact of papers produced by Iván Díaz-Padilla. 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 Díaz-Padilla. The network helps show where Iván Díaz-Padilla may publish in the future.
Co-authorship network of co-authors of Iván Díaz-Padilla
This figure shows the co-authorship network connecting the top 25 collaborators of Iván Díaz-Padilla. A scholar is included among the top collaborators of Iván Díaz-Padilla 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 Iván Díaz-Padilla. Iván Díaz-Padilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 31 | |
| 4 | 56 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 8 | |
| 8 | A Phase II study of the safety and efficacy of alpelisib or buparlisib plus letrozole in neoadjuvant treatment of postmenopausal women with HR+/HER2–, PIK3CA mutant or wild-type breast cancer. | 1 |
| 9 | 62 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 279 | |
| 13 | 49 | |
| 14 | 96 | |
| 15 | 36 | |
| 16 | 58 | |
| 17 | 17 | |
| 18 | 23 | |
| 19 | 24 | |
| 20 | 50 |
About Iván Díaz-Padilla
Iván Díaz-Padilla is a scholar working on Reproductive Medicine, Oncology and Cancer Research, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (14 papers), Advanced Breast Cancer Therapies (11 papers) and Cancer Treatment and Pharmacology (9 papers). The work is most often cited by research in Reproductive Medicine (260 citations), Oncology (728 citations) and Cancer Research (392 citations). Iván Díaz-Padilla has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Eitan Amir, Lillian L. Siu, Philippe L. Bédard, Mustafa Al-Mubarak, Arnoud J. Templeton, Boštjan Šeruga, Alberto Ocaña, Ian F. Tannock, Francisco Vera-Badillo and Ignacio Durán. Their work appears in journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer.
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.