Dina P. Matheos

5.1k citations
33 papers · 3.0k indexed · 1 hit paper · h-index 23

Dina P. Matheos

32 papers receiving 3.0k citations

Hit Papers

A chemical switch for inhibitor-sensitive alleles of any ...8622000202620082017250500750

Peers

Dina P. Matheos
Comparison fields: 5 of 106
  • Developmental Neuroscience 161
  • Cellular and Molecular Neuroscience 619
  • Cell Biology 537
  • Molecular Biology 2.2k
  • Aging 53
Replace Nael Nadif Kasri with:
Nael Nadif Kasri Netherlands
Pamela J. Yao United States
Camin Dean Germany
Christos G. Gkogkas Canada
Koh‐ichi Nagata Japan
Andrew F. MacAskill United Kingdom
Paul Skehel United Kingdom
Alaa El‐Husseini Canada
Hervé Enslen France
Erin M. Schuman Germany
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Citations per field
00.5×1.5×
Nael Nadif Kasri · 1×
Citations per year

Countries citing papers authored by Dina P. Matheos

Since Specialization
Citations

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

Fields of papers citing papers by Dina P. Matheos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dina P. Matheos. 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 Dina P. Matheos. The network helps show where Dina P. Matheos may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20246
3 20244
4 20231
5 202122
6 202119
7 201948
8 201926
9 201916
10 201836
11 2018117
12 201722
13 201728
14 201647
15 201666
16 201519
17 2011189
18 2011398
19 200286
20 1997285

About Dina P. Matheos

Dina P. Matheos is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 33 papers that have together received 3.0k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (11 papers), Epigenetics and DNA Methylation (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Fungal and yeast genetics research (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Nuclear Receptors and Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (161 citations), Cellular and Molecular Neuroscience (619 citations) and Cell Biology (537 citations). Dina P. Matheos has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Mark D. Rose, Marcelo A. Wood, Kyle W. Cunningham, Tami J. Kingsbury, U. Ahsan, Ruth M. Barrett, Anthony C. Bishop, John L. Wood, Justin D. Blethrow and Eiji Shimizu. Their work appears in journals such as Journal of Neuroscience, Neuropsychopharmacology, Nature Communications, The Journal of Cell Biology and Learning & Memory.

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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