Mar Cabeza-Cabrerizo

5.3k citations
9 papers · 2.3k indexed · 3 hit papers · h-index 8
Topics
Immunotherapy and Immune Responses (5 papers)T-cell and B-cell Immunology (3 papers)Immune cells in cancer (2 papers)

In The Last Decade

Mar Cabeza-Cabrerizo

9 papers receiving 2.3k citations

Hit Papers

NK Cells Stimulate Recruitment of cDC1 into the Tumor Mic...20172026202020232018202120174008001.2k

Peers

Mar Cabeza-Cabrerizo
Comparison fields: 5 of 101
  • Immunology 1.7k
  • Oncology 921
  • Molecular Biology 522
  • Cancer Research 158
  • Pulmonary and Respiratory Medicine 153
Replace Soyoung Oh with:
Soyoung Oh United States
Ivana M. Djuretic United States
Yann M. Kerdiles France
Ken‐ichiro Seino Japan
Yannick Morias Belgium
Catherine E. Hughes United Kingdom
James R. Carlyle Canada
Jadwiga Jabłońska Germany
Xia Zhang China
Deepali Malhotra United States
Mar Cabeza-Cabrerizo relative to Soyoung Oh United States Soyoung Oh's profile →
Citations per field
00.5×1.5×1.8×
Soyoung Oh · 1×
Citations per year

Countries citing papers authored by Mar Cabeza-Cabrerizo

Since Specialization
Citations

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

Fields of papers citing papers by Mar Cabeza-Cabrerizo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mar Cabeza-Cabrerizo. 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 Mar Cabeza-Cabrerizo. The network helps show where Mar Cabeza-Cabrerizo may publish in the future.

Co-authorship network of co-authors of Mar Cabeza-Cabrerizo

This figure shows the co-authorship network connecting the top 25 collaborators of Mar Cabeza-Cabrerizo. A scholar is included among the top collaborators of Mar Cabeza-Cabrerizo 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 Mar Cabeza-Cabrerizo. Mar Cabeza-Cabrerizo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 7
2 5
3 17
4 31
5
Dendritic Cells Revisitedbreakdown →
470
6 78
7
NK Cells Stimulate Recruitment of cDC1 into the Tumor Microenvironment Promoting Cancer Immune Controlbreakdown →
1313
8
Macrophage function in tissue repair and remodeling requires IL-4 or IL-13 with apoptotic cellsbreakdown →
401
9 17

About Mar Cabeza-Cabrerizo

Mar Cabeza-Cabrerizo is a scholar working on Immunology, Modeling and Simulation and Oncology, having authored 9 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (921 citations) and Cancer Research (158 citations). Mar Cabeza-Cabrerizo has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Caetano Reis e Sousa, Neil C. Rogers, Erik Sahai, Probir Chakravarty, Jan P. Böttcher, H. Blees, Santiago Zelenay, Eduardo Bonavita, Stefano Sammicheli and Carlos M. Minutti. Their work appears in journals such as Science, Cell and Journal of the American Chemical Society.

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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