Aina Pons

719 citations
23 papers · 529 indexed · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Acute Myeloid Leukemia Research

Papers in

Aina Pons

22 papers receiving 518 citations

Peers

Aina Pons
Comparison fields: 5 of 75
  • Cancer Research 307
  • Hematology 62
  • Molecular Biology 344
  • Pathology and Forensic Medicine 89
  • Immunology 101
Replace Lorena Di Lisio with:
Lorena Di Lisio Spain
Bo‐Wei Han China
Farhad Akbari Moqadam Netherlands
Guoqi Song China
Garrett W. Rhyasen United States
Julie A.I. Thoms Australia
Kristi L. Bennett United States
H. Eugene Liu Taiwan
Juo-Chin Yao United States
Jingnan Sun China
Aina Pons relative to Lorena Di Lisio Spain Lorena Di Lisio's profile →
Citations per field
00.5×1.5×
Lorena Di Lisio · 1×
Citations per year

Countries citing papers authored by Aina Pons

Since Specialization
Citations

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

Fields of papers citing papers by Aina Pons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aina Pons, 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 Aina Pons Line = papers co-authored together Aina Pons 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 2007138
2 2009135
3 200979
4 200835
5 200828
6 201726
7 201623
8 202319
9 202216
10 20096
11 19935
12 20083
13 20232
14 20222
15 20222
16 20232
17 20242
18 20222
19 20221
20 20231

About Aina Pons

Aina Pons is a scholar working on Nephrology, Cancer Research, Genetics, Pathology and Forensic Medicine and Hematology, having authored 23 papers that have together received 529 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Pleural and Pulmonary Diseases (2 papers) and Marine and fisheries research (2 papers). The work is most often cited by research in Cancer Research (307 citations), Hematology (62 citations), Molecular Biology (344 citations), Pathology and Forensic Medicine (89 citations) and Immunology (101 citations). Aina Pons has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Alfons Navarro, Mariano Monzó, Anna Gayà, Emili Montserrat, Bernat Gel, Antonio Martı́nez, Tania Díaz, Gerardo Ferrer, Álvaro Urbano-Ispizúa and Carmen Martı́nez. Their work appears in journals such as Blood, European Journal of Cardio-Thoracic Surgery, The Science of The Total Environment, Scientific Reports and Planta Medica.

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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