Eva Colás

1.5k citations
30 papers · 751 · h-index 15

Impact in

    • Endometrial and Cervical Cancer Treatments
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics

Papers in

Eva Colás

27 papers receiving 746 citations

Peers

Eva Colás
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 276
  • Cancer Research 321
  • Reproductive Medicine 180
  • Molecular Biology 392
  • Oncology 142
Replace Satoshi Tsunetoh with:
Satoshi Tsunetoh Japan
Henrica M.J. Werner Norway
Mingzi Tan China
Gemma Toledo Spain
Elisabet Hjerpe Sweden
Zhongqiu Lin China
Phil Rolland United Kingdom
Todd Boren United States
Robert L. Hollis United Kingdom
Evangelos Bournakis Greece
Eva Colás relative to Satoshi Tsunetoh Japan Satoshi Tsunetoh's profile →
Citations per field
00.5×3.1×
Satoshi Tsunetoh · 1×
Citations per year

Countries citing papers authored by Eva Colás

Since Specialization
Citations

This map shows the geographic impact of Eva Colás'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 Colás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Colás more than expected).

Fields of papers citing papers by Eva Colás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Colás. 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 Colás. The network helps show where Eva Colás may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva Colás, 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 Colás Line = papers co-authored together Eva Colás links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012135
2 201884
3 202074
4 201757
5 201750
6 201937
7 201633
8 201932
9 201932
10 201630
11 201930
12 201728
13 202221
14 202021
15 202017
16 202311
17 202310
18 20239
19 20228
20 20238

About Eva Colás

Eva Colás is a scholar working on Obstetrics and Gynecology, Molecular Biology, Cancer Research, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 751 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (15 papers), Ovarian cancer diagnosis and treatment (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Cancer Genomics and Diagnostics (4 papers), Extracellular vesicles in disease (4 papers), Endometriosis Research and Treatment (3 papers) and Cervical Cancer and HPV Research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (276 citations), Cancer Research (321 citations), Reproductive Medicine (180 citations), Molecular Biology (392 citations) and Oncology (142 citations). Eva Colás has collaborated with scholars based in Spain, Palestinian Territory and Netherlands. Frequent co-authors include Antonio Gil‐Moreno, Xavier Matías‐Guiu, Cristian P. Moiola, Sílvia Cabrera, Gema Moreno‐Bueno, Daniela Annibali, Jaume Reventós, Miguel Abal, Frédéric Amant and Elena Martínez-García. Their work appears in journals such as Cancers, Journal of Clinical Medicine, International Journal of Cancer, International Journal of Molecular Sciences and Molecular Cancer Therapeutics.

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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