Maria Da Costa

9.1k citations
51 papers · 6.9k indexed · 1 hit paper · h-index 26

Maria Da Costa

50 papers receiving 6.7k citations

Hit Papers

CRISPR-Cas12a target binding unleashes indiscriminate sin...3.1k201820262020202310002.0k3.0k

Peers

Maria Da Costa
Comparison fields: 5 of 132
  • Business and International Management 192
  • Epidemiology 2.2k
  • Molecular Biology 4.1k
  • Neurology 342
  • Surgery 1.7k
Replace Yoshio Koyanagi with:
Yoshio Koyanagi Japan
Premlata Shankar United States
Irvin S. Y. Chen United States
J. Víctor García United States
Philippe Gallay United States
N. Manjunath United States
Narendra Chirmule United States
David G. Brooks United States
Jonathan J. Miner United States
Luigi Buonaguro Italy
Maria Da Costa relative to Yoshio Koyanagi Japan Yoshio Koyanagi's profile →
Citations per field
00.5×8.4×
Yoshio Koyanagi · 1×
Citations per year

Countries citing papers authored by Maria Da Costa

Since Specialization
Citations

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

Fields of papers citing papers by Maria Da Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20231
3 20211
4 201919
5
CRISPR-Cas12a target binding unleashes indiscriminate single-stranded DNase activitybreakdown →
20183093
6 201820
7
Oral human papillomavirus infection among drug users in Puerto Rico.
20147
8 20149
9 201324
10 201243
11 20098
12 2009113
13 200936
14 2005298
15 2005174
16 200478
17 2004130
18 1992174
19 19910
20 19879

About Maria Da Costa

Maria Da Costa is a scholar working on Epidemiology, Aging and Surgery, having authored 51 papers that have together received 6.9k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (31 papers), Colorectal and Anal Carcinomas (18 papers), Genital Health and Disease (11 papers), Viral-associated cancers and disorders (5 papers), Prion Diseases and Protein Misfolding (5 papers), Hepatitis B Virus Studies (4 papers), Neurological diseases and metabolism (3 papers) and Reproductive tract infections research (3 papers). The work is most often cited by research in Business and International Management (192 citations), Epidemiology (2.2k citations) and Molecular Biology (4.1k citations). Maria Da Costa has collaborated with scholars based in United States, Puerto Rico and France. Frequent co-authors include Joel M. Palefsky, Enbo Ma, Jennifer A. Doudna, Janice S. Chen, Lucas B. Harrington, Teresa M. Darragh, Naomi Jay, Davide Ruggero, Ornella Zollo and J. Michael Berry.

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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