Natalia Zabalegui

863 citations
20 papers · 621 indexed · h-index 13

Natalia Zabalegui

19 papers receiving 607 citations

Peers

Natalia Zabalegui
Comparison fields: 5 of 50
  • Oncology 264
  • Immunology 261
  • Molecular Biology 203
  • Radiology, Nuclear Medicine and Imaging 140
  • Pathology and Forensic Medicine 128
Replace Masafumi Takimoto with:
Masafumi Takimoto Japan
Dominique Cazals France
Katherine L. Pogue–Geile United States
Jürgen Wolf Germany
Rita Ruijter Netherlands
Uhi Toh Japan
Erwan Pencreach France
Pamela Lockbaum United States
Sumie Hiramatsu Japan
Jan Kornafel Poland
Natalia Zabalegui relative to Masafumi Takimoto Japan Masafumi Takimoto's profile →
Citations per field
00.5×3.5×
Masafumi Takimoto · 1×
Citations per year

Countries citing papers authored by Natalia Zabalegui

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Zabalegui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Zabalegui

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Zabalegui. A scholar is included among the top collaborators of Natalia Zabalegui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalia Zabalegui. Natalia Zabalegui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2
TAK1 mRNA expression in the tumor tissue of locally advanced head and neck cancer patients.
0
3 45
4 29
5 106
6 111
7 41
8 9
9
Structure-based assessment of BRCA1 and BRCA2 mutations in a small Spanish population.
4
10 14
11 1
12 17
13
Acquired potential N-glycosylation sites within the tumor-specific immunoglobulin heavy chains of B-cell malignancies.
26
14 27
15 2
16 137
17 1
18 16
19 13
20 8

About Natalia Zabalegui

Natalia Zabalegui is a scholar working on Pathology and Forensic Medicine, Immunology and Internal Medicine, having authored 20 papers that have together received 621 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Lymphoma Diagnosis and Treatment (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (261 citations), Oncology (264 citations) and Pathology and Forensic Medicine (128 citations). Natalia Zabalegui has collaborated with scholars based in Spain, United Kingdom and Russia. Frequent co-authors include Susana Inogés, Mercedes Rodrı́guez-Calvillo, Ascensión López-Dı́az de Cerio, Maurizio Bendandi, Jesús García‐Foncillas, Jorge Quiroga, Juan F. Medina, Maite Herráiz, Josu Sola and Jesús Prìeto. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and JNCI Journal of the National Cancer Institute.

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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