Eva Pros
Impact in
- Neurology top 10%
- Neurofibromatosis and Schwannoma Cases
- Neuroblastoma Research and Treatments
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy
Papers in
-
- Chromatin Remodeling and Cancer 4
-
- Sarcoma Diagnosis and Treatment 5
- Lung Cancer Treatments and Mutations 5
- Co-authors
- Montse Sánchez‐Céspedes (12 shared papers)Conxi Lázaro (7 shared papers)Eduard Serra (6 shared papers)Octavio A. Romero (4 shared papers)Pere Fábregas (1 shared paper)Carolina de la Torre (2 shared papers)Maria Saigí (6 shared papers)Sebastián Morán (3 shared papers)
- Journals
- Human Mutation (5 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)Oncotarget (1 paper)Cancer Research (1 paper)
- Partner nations
- SpainFranceNetherlands
In The Last Decade
Eva Pros
19 papers receiving 648 citations
Peers
Comparison fields: 5 of 51
- Neurology 140
- Pathology and Forensic Medicine 110
- Oncology 141
- Cancer Research 75
- Molecular Biology 349
Countries citing papers authored by Eva Pros
This map shows the geographic impact of Eva Pros'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 Pros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Pros more than expected).
Fields of papers citing papers by Eva Pros
This network shows the impact of papers produced by Eva Pros. 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 Pros. The network helps show where Eva Pros may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Pros, 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 | 2013 | 131 | |
| 2 | 2008 | 88 | |
| 3 | 2018 | 78 | |
| 4 | 2010 | 69 | |
| 5 | 2010 | 61 | |
| 6 | 2009 | 42 | |
| 7 | 2021 | 37 | |
| 8 | 2013 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2023 | 22 | |
| 11 | 2006 | 16 | |
| 12 | 2017 | 16 | |
| 13 | 2009 | 15 | |
| 14 | 2011 | 13 | |
| 15 | 2018 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2007 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2014 | 1 |
About Eva Pros
Eva Pros is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Neurology, Oncology and Pathology and Forensic Medicine, having authored 19 papers that have together received 657 indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (6 papers), Sarcoma Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (5 papers), Chromatin Remodeling and Cancer (4 papers), Neuroblastoma Research and Treatments (4 papers), Cancer Mechanisms and Therapy (3 papers), Lung Cancer Research Studies (3 papers) and Soft tissue tumor case studies (2 papers). The work is most often cited by research in Neurology (140 citations), Pathology and Forensic Medicine (110 citations), Oncology (141 citations), Cancer Research (75 citations) and Molecular Biology (349 citations). Eva Pros has collaborated with scholars based in Spain, France and Netherlands. Frequent co-authors include Montse Sánchez‐Céspedes, Conxi Lázaro, Eduard Serra, Octavio A. Romero, Pere Fábregas, Carolina de la Torre, Maria Saigí, Sebastián Morán, Antonio Gómez and Alberto Villanueva. Their work appears in journals such as Human Mutation, Molecular Cancer Therapeutics, Clinical Cancer Research, Oncotarget and Cancer 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.