Eva Guerra

574 citations
23 papers · 153 · h-index 8

Impact in

    • Ovarian cancer diagnosis and treatment
    • PARP inhibition in cancer therapy
    • Cancer Immunotherapy and Biomarkers

Papers in

    • PARP inhibition in cancer therapy 7
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Treatment and Pharmacology 2
    • Ovarian cancer diagnosis and treatment 12

Eva Guerra

22 papers receiving 151 citations

Peers

Eva Guerra
Comparison fields: 5 of 36
  • Reproductive Medicine 61
  • Oncology 78
  • Obstetrics and Gynecology 20
  • Toxicology 5
  • Immunology 26
Replace Anna Pawłowska with:
Anna Pawłowska Poland
Ilian Tchakov United Kingdom
Daliah Tsoref Israel
Olesya Solheim Norway
Guelten Oskay-Oezcelik Germany
A. Barrie United States
Elizabeth V. Connor United States
Boer Shan China
Xiangcui Guo China
Marina V. Kiseleva Russia
Eva Guerra relative to Anna Pawłowska Poland Anna Pawłowska's profile →
Citations per field
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Anna Pawłowska · 1×
Citations per year

Countries citing papers authored by Eva Guerra

Since Specialization
Citations

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

Fields of papers citing papers by Eva Guerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202119
2 201719
3 202016
4 202315
5 201212
6 20199
7 20229
8 20237
9 20207
10 20216
11 20226
12 20216
13 20175
14 20144
15 20233
16 20233
17 20232
18 20231
19 20241
20 20241

About Eva Guerra

Eva Guerra is a scholar working on Oncology, Reproductive Medicine, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Cancer Research, having authored 23 papers that have together received 153 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (12 papers), PARP inhibition in cancer therapy (7 papers), Endometrial and Cervical Cancer Treatments (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers), BRCA gene mutations in cancer (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Reproductive Medicine (61 citations), Oncology (78 citations), Obstetrics and Gynecology (20 citations), Toxicology (5 citations) and Immunology (26 citations). Eva Guerra has collaborated with scholars based in Spain, Italy and Belgium. Frequent co-authors include Ignacio Romero, Emilio Álvarez-Cuesta, Ricardo Madrigal‐Burgaleta, Antonio González-Martı́n, María Pilar Berges‐Gimeno, Andrés Poveda, Bradley J. Monk, Ignace Vergote, María Jesús Rubio and Ana Oaknin. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Gynecological Cancer, Cancers, Frontiers in Oncology and Anti-Cancer Drugs.

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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