Maider Garnica

643 total citations
20 papers, 423 citations indexed

About

Maider Garnica is a scholar working on Oncology, Immunology and Genetics. According to data from OpenAlex, Maider Garnica has authored 20 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Immunology and 2 papers in Genetics. Recurrent topics in Maider Garnica's work include Cancer Immunotherapy and Biomarkers (10 papers), CAR-T cell therapy research (7 papers) and Immunotherapy and Immune Responses (7 papers). Maider Garnica is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), CAR-T cell therapy research (7 papers) and Immunotherapy and Immune Responses (7 papers). Maider Garnica collaborates with scholars based in Spain, Italy and United Kingdom. Maider Garnica's co-authors include David Escors, Ester Blanco, Hugo Arasanz, Ana Bocanegra, Leticia Fernández, Luisa Chocarro, Grazyna Kochan, Miriam Echaide, Pablo Ramos and Ruth Vera and has published in prestigious journals such as International Journal of Molecular Sciences, British Journal of Cancer and Annals of Oncology.

In The Last Decade

Maider Garnica

20 papers receiving 416 citations

Peers

Maider Garnica
Comparison fields: 5 of 63
  • Oncology 299
  • Immunology 229
  • Molecular Biology 70
  • Pulmonary and Respiratory Medicine 54
  • Pathology and Forensic Medicine 25
Replace Pablo Ramos with:
Pablo Ramos Spain
Miriam Echaide Spain
Danni Yu United States
Jean David Fumet France
Marco La Placa Italy
Jichang Han China
Koji Kurose Japan
Ichwaku Rastogi United States
Jasper J. P. van Beek Netherlands
Cécile Déjou France
Pablo Ramos Spain View profile →
Citations per field, relative to Maider Garnica
Maider Garnica · 1×
Citations per year, relative to Maider Garnica
Maider Garnica · 1×

Countries citing papers authored by Maider Garnica

Since Specialization
Citations

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

Fields of papers citing papers by Maider Garnica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maider Garnica

This figure shows the co-authorship network connecting the top 25 collaborators of Maider Garnica. A scholar is included among the top collaborators of Maider Garnica 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 Maider Garnica. Maider Garnica 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
# Work Indexed citations
1 11
2 9
3 11
4 1
5 11
6 14
7 26
8 11
9 16
10 9
11 1
12 71
13 1
14 1
15 1
16 9
17 55
18 20
19 1
20 144

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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