Amanda Cobos‐Correa

618 citations
9 papers · 385 · h-index 6

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Advanced Biosensing Techniques and Applications 2
    • Click Chemistry and Applications 3
    • Synthetic Organic Chemistry Methods 1

Amanda Cobos‐Correa

9 papers receiving 381 citations

Peers

Amanda Cobos‐Correa
Comparison fields: 5 of 73
  • Computational Theory and Mathematics 78
  • Biophysics 27
  • Molecular Biology 192
  • Cancer Research 37
  • Pulmonary and Respiratory Medicine 77
Replace Patrick T. Flaherty with:
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Dale Corkery Sweden
John W. Rice United States
Miki Newman United States
Xiulei Mo United States
Takahiro Suzuki Japan
Thomas J. Crisman Switzerland
Injae Shin South Korea
Róbert Alföldi Hungary
Jana Biermann Sweden
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Citations per year

Countries citing papers authored by Amanda Cobos‐Correa

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Cobos‐Correa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda Cobos‐Correa. 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 Amanda Cobos‐Correa. The network helps show where Amanda Cobos‐Correa may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2015104
2 200996
3 201480
4 201569
5 201615
6 201413
7 20123
8 20163
9 20102

About Amanda Cobos‐Correa

Amanda Cobos‐Correa is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 385 indexed citations. Recurring topics across this work include Click Chemistry and Applications (3 papers), Protease and Inhibitor Mechanisms (3 papers), Peptidase Inhibition and Analysis (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Neonatal Respiratory Health Research (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Synthetic Organic Chemistry Methods (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (78 citations), Biophysics (27 citations), Molecular Biology (192 citations), Cancer Research (37 citations) and Pulmonary and Respiratory Medicine (77 citations). Amanda Cobos‐Correa has collaborated with scholars based in Switzerland, Germany and Spain. Frequent co-authors include Carsten Schultz, Joanna Trojanek, Marcus Mall, Ansgar Schuffenhauer, Markus Kaufmann, Eugen Lounkine, Meir Glick, Anne Mai Wassermann, John W. Davies and Jianshi Tao. Their work appears in journals such as Nature Chemical Biology, SLAS DISCOVERY, ACS Medicinal Chemistry Letters, American Journal of Respiratory Cell and Molecular Biology and ChemMedChem.

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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