Eva Pros

90 total papers · 1.1k total citations
19 papers, 611 citations indexed

About

Eva Pros is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Eva Pros has authored 19 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Neurology. Recurrent topics in Eva Pros's work include Neurofibromatosis and Schwannoma Cases (6 papers), Sarcoma Diagnosis and Treatment (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Eva Pros is often cited by papers focused on Neurofibromatosis and Schwannoma Cases (6 papers), Sarcoma Diagnosis and Treatment (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Eva Pros collaborates with scholars based in Spain, France and Germany. Eva Pros's co-authors include Montse Sánchez‐Céspedes, Conxi Lázaro, Eduard Serra, Octavio A. Romero, Pere Fábregas, Carolina de la Torre, Maria Saigí, Antonio Gómez, Sebastián Morán and Alberto Villanueva and has published in prestigious journals such as Nature Communications, Cancer Research and Clinical Cancer Research.

In The Last Decade

Eva Pros

19 papers receiving 605 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eva Pros	367	160	155	132	115	19	611
Osarenoma Olomu	258 0.7×	181 1.1×	152 1.0×	192 1.5×	49 0.4×	17	659
Toshifumi Kameyama	328 0.9×	165 1.0×	247 1.6×	87 0.7×	59 0.5×	27	688
Adrienne L. Watson	310 0.8×	159 1.0×	81 0.5×	245 1.9×	59 0.5×	21	661
Laleh Daneshvar	345 0.9×	73 0.5×	179 1.2×	128 1.0×	63 0.5×	14	647
Mirjam F. Mastik	232 0.6×	283 1.8×	175 1.1×	84 0.6×	97 0.8×	28	654
Sivasish Sindiri	227 0.6×	153 1.0×	274 1.8×	198 1.5×	72 0.6×	23	656
Angela Queisser	237 0.6×	111 0.7×	180 1.2×	104 0.8×	59 0.5×	18	593
Michael Badruddoja	238 0.6×	151 0.9×	167 1.1×	87 0.7×	61 0.5×	20	680
Susanna Mannisto	298 0.8×	153 1.0×	128 0.8×	66 0.5×	125 1.1×	26	658
Shoju Hiraga	364 1.0×	70 0.4×	170 1.1×	123 0.9×	142 1.2×	18	694

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-authorship network of co-authors of Eva Pros

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Pros. A scholar is included among the top collaborators of Eva Pros 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 Eva Pros. Eva Pros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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