Eva Pros

1.1k citations
21 papers · 871 · h-index 16

Impact in

  • Neurology top 10%
    • Neurofibromatosis and Schwannoma Cases
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

Eva Pros

21 papers receiving 858 citations

Peers

Eva Pros
Comparison fields: 5 of 41
  • Neurology 149
  • Oncology 228
  • Pulmonary and Respiratory Medicine 173
  • Molecular Biology 271
  • Cancer Research 49
Replace M. Jane Arboleda with:
M. Jane Arboleda United States
Sinan Zhu United States
Richard Kurupi United States
Hisanori Takenobu Japan
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Lope Estévéz‐Schwarz Germany
Andreas Claas Germany
Madelyn Feder United States
Takahiro Gotoh Japan
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Eva Pros relative to M. Jane Arboleda United States M. Jane Arboleda's profile →
Citations per field
00.5×10×20×27.7×
M. Jane Arboleda · 1×
Citations per year

Countries citing papers authored by Eva Pros

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eva Pros Line = papers co-authored together Eva Pros links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013140
2 2008100
3 201691
4 201887
5 201073
6 201065
7 200944
8 202044
9 202141
10 202328
11 201326
12 201725
13 201119
14 202119
15 200618
16 201716
17 200914
18 20187
19 20226
20 20074

About Eva Pros

Eva Pros is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Genetics, having authored 21 papers that have together received 871 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Neurofibromatosis and Schwannoma Cases (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Chromatin Remodeling and Cancer (3 papers), RNA Research and Splicing (1 paper), Occupational and environmental lung diseases (1 paper), Lung Cancer Research Studies (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Neurology (149 citations), Oncology (228 citations), Pulmonary and Respiratory Medicine (173 citations), Molecular Biology (271 citations) and Cancer Research (49 citations). Eva Pros has collaborated with scholars based in Spain, France and Germany. Frequent co-authors include Montse Sánchez‐Céspedes, Conxi Lázaro, Eduard Serra, Octavio A. Romero, Maria Saigí, Antonio Gómez, Alberto Villanueva, Sebastián Morán, Elisabeth M. Brambilla and Ignacio Blanco. Their work appears in journals such as Human Mutation, Clinical Cancer Research, Lung Cancer, Molecular Cancer Therapeutics and Nature Communications.

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.

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