Gabriela Cinat

854 total citations
20 papers, 318 citations indexed

About

Gabriela Cinat is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Gabriela Cinat has authored 20 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Gabriela Cinat's work include CAR-T cell therapy research (6 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Gabriela Cinat is often cited by papers focused on CAR-T cell therapy research (6 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Gabriela Cinat collaborates with scholars based in Argentina, Germany and France. Gabriela Cinat's co-authors include Lars Bastholt, Peter Hersey, Enrique Espinosa, Alexander M.M. Eggermont, Dirk Schadendorf, Roberto Bitton, Leonardo Fainboim, Axel Hauschild, Marcelo D. Guthmann and Caroline Robert and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and British Journal of Cancer.

In The Last Decade

Gabriela Cinat

19 papers receiving 308 citations

Peers

Gabriela Cinat
Comparison fields: 5 of 55
  • Oncology 175
  • Molecular Biology 170
  • Immunology 115
  • Pulmonary and Respiratory Medicine 36
  • Radiology, Nuclear Medicine and Imaging 35
Replace L. Orgiano with:
L. Orgiano Italy
Alice Brînzea Romania
Nikolaus B. Wagner Germany
Gabriela Turcu Romania
Aurélie Sadoux France
Angela Sandru Romania
Dolgor Baatar United States
Benjamin Weide Germany
Mariana Aris Argentina
A. Benhammouda France
L. Orgiano Italy View profile →
Citations per field, relative to Gabriela Cinat
Gabriela Cinat · 1×
Citations per year, relative to Gabriela Cinat
Gabriela Cinat · 1×

Countries citing papers authored by Gabriela Cinat

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Cinat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Cinat

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Cinat. A scholar is included among the top collaborators of Gabriela Cinat 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 Gabriela Cinat. Gabriela Cinat 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 1
2 4
3 2
4 5
5 1
6 9
7 0
8 11
9 12
10 3
11 31
12 7
13 72
14 47
15 5
16 50
17 2
18 1
19 34
20 21

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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