Natalia Ramírez

2.1k citations
35 papers · 1.8k · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3
    • CAR-T cell therapy research 5
    • Pancreatic and Hepatic Oncology Research 3

Natalia Ramírez

33 papers receiving 1.8k citations

Peers

Natalia Ramírez
Comparison fields: 5 of 85
  • Cancer Research 1.2k
  • Molecular Biology 1.1k
  • Oncology 215
  • Immunology 134
  • Pathology and Forensic Medicine 76
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Natalia Ramírez relative to Michael H. Lam United States Michael H. Lam's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Natalia Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006725
2 2009388
3 2009306
4 200755
5 201044
6 201437
7 200832
8 200425
9 201524
10 200422
11 201822
12 201621
13 201318
14 201314
15 201513
16 200710
17 20179
18 20168
19 20147
20 20226

About Natalia Ramírez

Natalia Ramírez is a scholar working on Immunology, Oncology, Epidemiology, Cancer Research and Hematology, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (12 papers), Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (5 papers), Cancer-related molecular mechanisms research (5 papers), T-cell and B-cell Immunology (4 papers), MicroRNA in disease regulation (4 papers), Immunotherapy and Immune Responses (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.1k citations), Oncology (215 citations), Immunology (134 citations) and Pathology and Forensic Medicine (76 citations). Natalia Ramírez has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Eva Bandrés, Ruth Zárate, Jesús García‐Foncillas, Xabier Agirre, Nerea Bitarte, Alfons Navarro, I. Moreno, Mariano Monzó, Elena Cubedo and Raquel Malumbres. Their work appears in journals such as Critical Reviews in Oncology/Hematology, Cellular and Molecular Life Sciences, British Journal of Cancer, Journal of Translational Medicine and Bone Marrow Transplantation.

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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