Eva Díaz
Impact in
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- Cancer Genomics and Diagnostics
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- Lymphoma Diagnosis and Treatment
- Genetic factors in colorectal cancer
Papers in
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- Retinal Development and Disorders 2
- Single-cell and spatial transcriptomics 1
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- Lymphoma Diagnosis and Treatment 4
- Genetic factors in colorectal cancer 2
- Co-authors
- Gema Moreno‐Bueno (7 shared papers)Laura Muinelo‐Romay (4 shared papers)Alicia Abalo (4 shared papers)Alejandro Rojo‐Sebastián (2 shared papers)Lorena Alonso‐Alconada (2 shared papers)Juan F. Garcı́a (5 shared papers)Laura Sánchez (2 shared papers)Alba Ferreirós (2 shared papers)
- Journals
- Scientific Reports (1 paper)Journal of Clinical Medicine (1 paper)Pathobiology (1 paper)Journal of Hepatology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- SpainUnited StatesPeru
In The Last Decade
Eva Díaz
13 papers receiving 140 citations
Peers
Comparison fields: 5 of 34
- Cancer Research 56
- Pathology and Forensic Medicine 53
- Reproductive Medicine 19
- Oncology 53
- Obstetrics and Gynecology 10
Countries citing papers authored by Eva Díaz
This map shows the geographic impact of Eva Díaz'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 Eva Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Díaz more than expected).
Fields of papers citing papers by Eva Díaz
This network shows the impact of papers produced by Eva Díaz. 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 Eva Díaz. The network helps show where Eva Díaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Díaz, 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 | 2020 | 28 | |
| 2 | 2017 | 27 | |
| 3 | 2022 | 26 | |
| 4 | 2020 | 21 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2017 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2006 | 0 |
About Eva Díaz
Eva Díaz is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Obstetrics and Gynecology, having authored 15 papers that have together received 143 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Cancer Cells and Metastasis (3 papers), Genetic factors in colorectal cancer (2 papers), Retinal Diseases and Treatments (2 papers), Retinal Development and Disorders (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (56 citations), Pathology and Forensic Medicine (53 citations), Reproductive Medicine (19 citations), Oncology (53 citations) and Obstetrics and Gynecology (10 citations). Eva Díaz has collaborated with scholars based in Spain, United States and Peru. Frequent co-authors include Gema Moreno‐Bueno, Laura Muinelo‐Romay, Alicia Abalo, Alejandro Rojo‐Sebastián, Lorena Alonso‐Alconada, Juan F. Garcı́a, Laura Sánchez, Alba Ferreirós, Rafael López‐López and Carlos Montalbán. Their work appears in journals such as Scientific Reports, Journal of Clinical Medicine, Pathobiology, Journal of Hepatology and International Journal of Molecular Sciences.
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.