Carmen Visús

1.8k citations
25 papers · 1.3k · h-index 16

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • MicroRNA in disease regulation

Papers in

    • Immunotherapy and Immune Responses 14
    • Immune Cell Function and Interaction 3
    • Cancer Immunotherapy and Biomarkers 4
    • Cancer Cells and Metastasis 2
    • CAR-T cell therapy research 2

Carmen Visús

24 papers receiving 1.3k citations

Peers

Carmen Visús
Comparison fields: 5 of 70
  • Immunology 553
  • Cancer Research 372
  • Oncology 531
  • Molecular Biology 698
  • Otorhinolaryngology 37
Replace Helen Kalirai with:
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Citations per field
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Citations per year

Countries citing papers authored by Carmen Visús

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Visús

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009461
2 2011129
3 2014121
4 2007116
5 201098
6 201179
7 201846
8 200739
9 201827
10 200727
11 201226
12 201525
13 201121
14 200615
15 200615
16 201115
17 201115
18 200914
19 200911
20 20079

About Carmen Visús

Carmen Visús is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Genetics, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immune Cell Function and Interaction (3 papers), Glioma Diagnosis and Treatment (3 papers), RNA Interference and Gene Delivery (2 papers), Cancer Cells and Metastasis (2 papers), CAR-T cell therapy research (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Immunology (553 citations), Cancer Research (372 citations), Oncology (531 citations), Molecular Biology (698 citations) and Otorhinolaryngology (37 citations). Carmen Visús has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Theresa L. Whiteside, Mirosław J. Szczepański, Marta Szajnik, Eva Wieckowski, Walter J. Storkus, Albert B. DeLeo, Robert L. Ferris, William E. Gooding, Soldano Ferrone and Cristina R. Ferrone. Their work appears in journals such as Clinical Cancer Research, Cancer Immunology Immunotherapy, Journal of Clinical Oncology, Acta Neuropathologica Communications and Cancer Research.

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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