Eva González‐Suárez

5.2k citations
49 papers · 2.6k indexed · h-index 27

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Oncology top 2%
    • Bone health and treatments
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cancer Cells and Metastasis 12
    • Bone health and treatments 8
    • Cytokine Signaling Pathways and Interactions 6
    • NF-κB Signaling Pathways 9

Eva González‐Suárez

49 papers receiving 2.6k citations

Peers

Eva González‐Suárez
Comparison fields: 5 of 100
  • Aging 222
  • Oncology 1.2k
  • Cancer Research 511
  • Physiology 800
  • Molecular Biology 1.5k
Replace Juan Carlos Acosta with:
Juan Carlos Acosta United Kingdom
Soyoung Lee Germany
Liesbeth C.W. Vredeveld Netherlands
Angelo Cicalese Italy
Josef Leibold United States
Matthew R. Warr United States
Direna Alonso‐Curbelo United States
М. М. Попов Ukraine
Héctor G. Pálmer Spain
Eva González‐Suárez relative to Juan Carlos Acosta United Kingdom Juan Carlos Acosta's profile →
Citations per field
00.5×1.6×
Juan Carlos Acosta · 1×
Citations per year

Countries citing papers authored by Eva González‐Suárez

Since Specialization
Citations

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

Fields of papers citing papers by Eva González‐Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20233
4 20231
5 20211
6 202013
7 201924
8 20192
9 201949
10 201870
11 20181
12 201645
13 201624
14 201554
15 201533
16 201460
17 2012153
18 200797
19 2001302
20 2000284

About Eva González‐Suárez

Eva González‐Suárez is a scholar working on Oncology, Cancer Research, Aging, Molecular Biology and Physiology, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (13 papers), Cancer Cells and Metastasis (12 papers), Telomeres, Telomerase, and Senescence (9 papers), NF-κB Signaling Pathways (9 papers), Bone health and treatments (8 papers), Immunotherapy and Immune Responses (6 papers), Cytokine Signaling Pathways and Interactions (6 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Aging (222 citations), Oncology (1.2k citations), Cancer Research (511 citations), Physiology (800 citations) and Molecular Biology (1.5k citations). Eva González‐Suárez has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Marı́a A. Blasco, Juana M. Flores, William C. Dougall, Enrique Samper, Dan Branstetter, Jon C. Jones, Ryan Erwert, Allison P. Jacob, Robert E. Miller and Jan Pinkas. Their work appears in journals such as Cancer Research, Oncogene, Nature Communications, Annals of Oncology and Oncotarget.

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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