Maria DaCosta

22 total papers · 759 total citations
12 papers, 601 citations indexed

About

Maria DaCosta is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Maria DaCosta has authored 12 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Rheumatology. Recurrent topics in Maria DaCosta's work include Chronic Myeloid Leukemia Treatments (2 papers), Folate and B Vitamins Research (2 papers) and Medical Imaging Techniques and Applications (2 papers). Maria DaCosta is often cited by papers focused on Chronic Myeloid Leukemia Treatments (2 papers), Folate and B Vitamins Research (2 papers) and Medical Imaging Techniques and Applications (2 papers). Maria DaCosta collaborates with scholars based in United States and Brazil. Maria DaCosta's co-authors include Sheldon P. Rothenberg, Katherine A. Halmi, John Mandeli, Marjorie M. Luckey, Michael Hubbard, Diane E. Meier, Stanley J. Goldsmith, Sherif Heiba, Josef Macháč and Irene Rosemir Pelá and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Blood.

In The Last Decade

Maria DaCosta

12 papers receiving 559 citations

Author Peers

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

Author						Papers	Cites
Maria DaCosta	127	110	104	90	89	12	601
M.A. Navarro	40 0.3×	240 2.2×	81 0.8×	16 0.2×	81 0.9×	19	602
Alicia S. Chua	29 0.2×	42 0.4×	72 0.7×	25 0.3×	30 0.3×	29	644
S. Kos	159 1.3×	16 0.1×	87 0.8×	25 0.3×	49 0.6×	16	542
S. J. Cowen	189 1.5×	21 0.2×	81 0.8×	47 0.5×	319 3.6×	18	694
Zarir Khademian	21 0.2×	40 0.4×	45 0.4×	30 0.3×	24 0.3×	21	591
Alicia Ai-cia Cheak	33 0.3×	298 2.7×	33 0.3×	23 0.3×	40 0.4×	10	553
Mehmet Karakoç	73 0.6×	69 0.6×	41 0.4×	36 0.4×	57 0.6×	18	585
Susan Ratzan	65 0.5×	26 0.2×	103 1.0×	54 0.6×	64 0.7×	15	517
S. Oestergaard	59 0.5×	333 3.0×	130 1.3×	11 0.1×	32 0.4×	12	566
N. S. BROWN	25 0.2×	48 0.4×	74 0.7×	21 0.2×	38 0.4×	23	509

Countries citing papers authored by Maria DaCosta

Since Specialization

Citations

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

Fields of papers citing papers by Maria DaCosta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria DaCosta

This figure shows the co-authorship network connecting the top 25 collaborators of Maria DaCosta. A scholar is included among the top collaborators of Maria DaCosta 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 DaCosta. Maria DaCosta 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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