Aintzane Zabaleta

2.0k citations
40 papers · 914 indexed · h-index 14
  • Hepatology top 5%
    • Hepatitis C virus research 9
  • Immunology top 5%
    • Immunotherapy and Immune Responses 11
    • Immune Cell Function and Interaction 10
    • Immune cells in cancer 4
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments 10
  • Physiology top 10%
    • CAR-T cell therapy research 4
    • RNA Interference and Gene Delivery 4
    • vaccines and immunoinformatics approaches 4

Aintzane Zabaleta

37 papers receiving 898 citations

Peers

Aintzane Zabaleta
Comparison fields: 5 of 74
  • Hepatology 214
  • Immunology 437
  • Hematology 157
  • Physiology 39
  • Oncology 209
Replace Dongchang Zhao with:
Dongchang Zhao United States
So C. Wong United States
G. Harms Netherlands
Yan Luan China
Qingfeng Chen Singapore
J. Düllmann Germany
Oliver Frey Germany
Jin-Qing Liu United States
Rik Janssens Belgium
Sumone Chakravarti Australia
Aintzane Zabaleta relative to Dongchang Zhao United States Dongchang Zhao's profile →
Citations per field
00.5×2.5×
Dongchang Zhao · 1×
Citations per year

Countries citing papers authored by Aintzane Zabaleta

Since Specialization
Citations

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

Fields of papers citing papers by Aintzane Zabaleta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20230
4 20234
5 202313
6 20231
7 202161
8 2019148
9 20192
10 201886
11 201811
12 20173
13 201516
14 20133
15 201122
16 201190
17 200811
18 200712
19 200742
20 20060

About Aintzane Zabaleta

Aintzane Zabaleta is a scholar working on Hepatology, Immunology and Hematology, having authored 40 papers that have together received 914 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Multiple Myeloma Research and Treatments (10 papers), Immune Cell Function and Interaction (10 papers), Hepatitis C virus research (9 papers), CAR-T cell therapy research (4 papers), RNA Interference and Gene Delivery (4 papers), vaccines and immunoinformatics approaches (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Hepatology (214 citations), Immunology (437 citations) and Hematology (157 citations). Aintzane Zabaleta has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Jesús Prìeto, Bruno Paiva, Juan José Lasarte, Pablo Sarobe, Juan C. Mareque‐Rivas, Francisco Borrás‐Cuesta, Ane Ruiz‐de‐Angulo, Jordi Llop, Laura Arribillaga and Ignacio Melero. Their work appears in journals such as Journal of Clinical Oncology, Blood and ACS Nano.

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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