Anabel Sorolla

1.8k citations
49 papers · 1.3k indexed · h-index 22

Impact in

    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways

Papers in

Anabel Sorolla

47 papers receiving 1.3k citations

Peers

Anabel Sorolla
Comparison fields: 5 of 97
  • Cancer Research 187
  • Molecular Biology 791
  • Biomaterials 140
  • Biotechnology 85
  • Oncology 262
Replace Heesun Cheong with:
Heesun Cheong South Korea
Zhiqiang Han China
Yong-Qiu Mao China
Ghanbar Mahmoodi Chalbatani Iran
Man Xu China
Srinivas Kothakota United States
Shelia D. Thomas United States
Michel Janicot United States
Hassan Bousbaa Portugal
Giulia Russo Italy
Anabel Sorolla relative to Heesun Cheong South Korea Heesun Cheong's profile →
Citations per field
00.5×1.5×2.1×
Heesun Cheong · 1×
Citations per year

Countries citing papers authored by Anabel Sorolla

Since Specialization
Citations

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

Fields of papers citing papers by Anabel Sorolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20230
3 20239
4 20233
5 2020119
6 201941
7 201974
8 201867
9 201412
10 201355
11 201313
12 201222
13 201242
14 20128
15 201039
16 200818
17 200835
18 20085
19
Expression of somatostatin receptors (SSTR) in melanoma cell lines. Effect of somatostatin analogues on their proliferation
20071
20 200745

About Anabel Sorolla

Anabel Sorolla is a scholar working on Toxicology, Oncology, Cancer Research, Molecular Biology and Gastroenterology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Melanoma and MAPK Pathways (5 papers), HER2/EGFR in Cancer Research (5 papers), RNA Interference and Gene Delivery (4 papers), Cell death mechanisms and regulation (4 papers), CRISPR and Genetic Engineering (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Cancer Research (187 citations), Molecular Biology (791 citations), Biomaterials (140 citations), Biotechnology (85 citations) and Oncology (262 citations). Anabel Sorolla has collaborated with scholars based in Spain, Australia and United States. Frequent co-authors include Edina Wang, Pilar Blancafort, Maria Alba Sorolla, Andrée Yeramian, Xavier Matías‐Guiu, Xavier Dolcet, Tristan D. Clemons, Emily Golden, Ruhani Singh and Eva Parisi. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, Oncogene, Marine Drugs and Molecular Oncology.

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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