Anabel Gil

824 citations
18 papers · 677 · h-index 11

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 9
    • Protein Kinase Regulation and GTPase Signaling 3
    • Ubiquitin and proteasome pathways 2
    • Cell death mechanisms and regulation 2
    • Influenza Virus Research Studies 2

Anabel Gil

17 papers receiving 669 citations

Peers

Anabel Gil
Comparison fields: 5 of 87
  • Biological Psychiatry 25
  • Molecular Biology 462
  • Genetics 66
  • Cell Biology 79
  • Neurology 37
Replace Daniel Fernández-Pérez with:
Daniel Fernández-Pérez Italy
Miho Oyasu Japan
Timothy A. Bolger United States
Milos Simic United States
Robin Miskimins United States
Yiyuan Liu China
Francis Edwin United States
Erin R. Bonner United States
Sang Mi Shim South Korea
Douglas C. Miller United States
Anabel Gil relative to Daniel Fernández-Pérez Italy Daniel Fernández-Pérez's profile →
Citations per field
00.5×10×15.5×
Daniel Fernández-Pérez · 1×
Citations per year

Countries citing papers authored by Anabel Gil

Since Specialization
Citations

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

Fields of papers citing papers by Anabel Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005182
2 2006117
3 201364
4 201464
5 201742
6 201739
7 201236
8 200735
9 201526
10 201123
11 200417
12 201510
13 20159
14 20004
15 20004
16 20243
17 20222
18 20250

About Anabel Gil

Anabel Gil is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Genetics and Pathology and Forensic Medicine, having authored 18 papers that have together received 677 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cancer Mechanisms and Therapy (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Ubiquitin and proteasome pathways (2 papers), Cell death mechanisms and regulation (2 papers), Municipal Solid Waste Management (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Biological Psychiatry (25 citations), Molecular Biology (462 citations), Genetics (66 citations), Cell Biology (79 citations) and Neurology (37 citations). Anabel Gil has collaborated with scholars based in Spain, Mongolia and Canada. Frequent co-authors include Rafael Pulido, Amparo Andrés‐Pons, Miguel Valiente, Josema Torres, Caroline Tapparel, Stylianos E. Antonarakis, Consuelo Guerri, Javier Lizardi Cervera, Elena Fernández Fernández and Jorge Montesinos. Their work appears in journals such as PLoS ONE, Canada Communicable Disease Report, Waste Management & Research The Journal for a Sustainable Circular Economy, Cancer Letters and Molecular Biology of the Cell.

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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