Maria C. Danos

10 total papers · 728 total citations
8 papers, 621 citations indexed

About

Maria C. Danos is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maria C. Danos has authored 8 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cognitive Neuroscience and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Maria C. Danos's work include Developmental Biology and Gene Regulation (5 papers), Congenital heart defects research (4 papers) and Hemispheric Asymmetry in Neuroscience (3 papers). Maria C. Danos is often cited by papers focused on Developmental Biology and Gene Regulation (5 papers), Congenital heart defects research (4 papers) and Hemispheric Asymmetry in Neuroscience (3 papers). Maria C. Danos collaborates with scholars based in United States, Canada and Japan. Maria C. Danos's co-authors include H. Joseph Yost, Jamie L. Lohr, Michael B. O’Connor, Yoshihiro Takatsu, Hiroshi Shibuyà, Naoto Ueno, Mark Stapleton, Makoto Nakamura, Kunihiro Matsumoto and William A. Taylor and has published in prestigious journals such as Molecular and Cellular Biology, Development and Developmental Biology.

In The Last Decade

Maria C. Danos

8 papers receiving 605 citations

Author Peers

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

Author Last Decade Papers Cites
Maria C. Danos 549 143 101 85 47 8 621
Cheng Chi Lee 446 0.8× 169 1.2× 49 0.5× 58 0.7× 45 1.0× 10 659
Anahita Amiri 547 1.0× 127 0.9× 43 0.4× 85 1.0× 37 0.8× 12 684
Paul Dallaire 448 0.8× 191 1.3× 155 1.5× 44 0.5× 25 0.5× 11 642
Merel A.W. Oortveld 457 0.8× 426 3.0× 148 1.5× 65 0.8× 55 1.2× 10 767
Zhou Xp 416 0.8× 306 2.1× 227 2.2× 34 0.4× 32 0.7× 8 634
Arish N Shah 387 0.7× 94 0.7× 25 0.2× 201 2.4× 75 1.6× 12 577
Christian Alfano 263 0.5× 91 0.6× 57 0.6× 66 0.8× 30 0.6× 17 609
G Schütz 415 0.8× 181 1.3× 41 0.4× 168 2.0× 47 1.0× 6 640
Walter Carbone 389 0.7× 104 0.7× 50 0.5× 27 0.3× 40 0.9× 13 554
Keith Tan 357 0.7× 47 0.3× 79 0.8× 39 0.5× 33 0.7× 9 712

Countries citing papers authored by Maria C. Danos

Since Specialization
Citations

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

Fields of papers citing papers by Maria C. Danos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria C. Danos

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