Maria L. Cabral

30 total papers · 622 total citations
11 papers, 364 citations indexed

About

Maria L. Cabral is a scholar working on Oncology, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Maria L. Cabral has authored 11 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Maria L. Cabral's work include CAR-T cell therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Silicon Carbide Semiconductor Technologies (3 papers). Maria L. Cabral is often cited by papers focused on CAR-T cell therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Silicon Carbide Semiconductor Technologies (3 papers). Maria L. Cabral collaborates with scholars based in United States, Portugal and Denmark. Maria L. Cabral's co-authors include Ana P. Castaño, Andrea Schmidts, Rebecca C. Larson, Irene Scarfò, Amanda A. Bouffard, Marcela V. Maus, Grzegorz Pochwatko, Jean‐Christophe Giger, Michael C. Kann and Taeyoon Kyung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Maria L. Cabral

11 papers receiving 360 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maria L. Cabral	275	133	125	81	76	11	364
Nicolas Rey-Villamizar	122 0.4×	77 0.6×	58 0.5×	21 0.3×	94 1.2×	12	345
Phillip Kyriakakis	100 0.4×	174 1.3×	108 0.9×	44 0.5×	60 0.8×	10	346
Vivian Nguyen	135 0.5×	159 1.2×	186 1.5×	9 0.1×	19 0.3×	10	373
Evangelia Kokalaki	303 1.1×	133 1.0×	129 1.0×	114 1.4×	90 1.2×	8	333
Nathaniel Dasyam	296 1.1×	102 0.8×	105 0.8×	83 1.0×	121 1.6×	8	327
Astrid Holzinger	335 1.2×	131 1.0×	99 0.8×	111 1.4×	152 2.0×	13	386
Julie Garcia	283 1.0×	168 1.3×	146 1.2×	62 0.8×	123 1.6×	8	393
Stefan Lundh	345 1.3×	173 1.3×	133 1.1×	108 1.3×	112 1.5×	9	377
Jastaranpreet Singh	104 0.4×	110 0.8×	151 1.2×	29 0.4×	122 1.6×	14	395
Jennifer Arnold	246 0.9×	81 0.6×	120 1.0×	87 1.1×	98 1.3×	10	351

Countries citing papers authored by Maria L. Cabral

Since Specialization

Citations

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

Fields of papers citing papers by Maria L. Cabral

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria L. Cabral. 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 Maria L. Cabral. The network helps show where Maria L. Cabral may publish in the future.

Co-authorship network of co-authors of Maria L. Cabral

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

All Works

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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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