Matthew T. Dinday

1.3k citations
13 papers · 931 indexed · h-index 12
Topics
Zebrafish Biomedical Research Applications (9 papers)Neuroscience and Neuropharmacology Research (8 papers)CRISPR and Genetic Engineering (3 papers)
Partner nations
United States

In The Last Decade

Matthew T. Dinday

13 papers receiving 919 citations

Peers

Matthew T. Dinday
Comparison fields: 5 of 76
  • Cell Biology 497
  • Cellular and Molecular Neuroscience 430
  • Molecular Biology 368
  • Psychiatry and Mental health 223
  • Genetics 138
Replace G.A. Hortopan with:
G.A. Hortopan United States
Sung‐Eun Kwak South Korea
A. Marie Phillips Australia
Bhanu P. Tewari United States
Maria Marchese Italy
Heidi L. Grabenstatter United States
Lata Chaunsali United States
Meijiang Liao Canada
María Paula Faillace Argentina
Hisako Ohba Japan
Matthew T. Dinday relative to G.A. Hortopan United States G.A. Hortopan's profile →
Citations per field
00.5×1.7×
G.A. Hortopan · 1×
Citations per year

Countries citing papers authored by Matthew T. Dinday

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Dinday'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 Matthew T. Dinday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Dinday more than expected).

Fields of papers citing papers by Matthew T. Dinday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew T. Dinday. 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 Matthew T. Dinday. The network helps show where Matthew T. Dinday may publish in the future.

Co-authorship network of co-authors of Matthew T. Dinday

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Dinday. A scholar is included among the top collaborators of Matthew T. Dinday 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 Matthew T. Dinday. Matthew T. Dinday is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 44
2 19
3 14
4 59
5 114
6 10
7 305
8 26
9 30
10 81
11 100
12 97
13 32

About Matthew T. Dinday

Matthew T. Dinday is a scholar working on Cell Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 931 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cell Biology (497 citations), Cellular and Molecular Neuroscience (430 citations) and Psychiatry and Mental health (223 citations). Matthew T. Dinday has collaborated with scholars based in United States. Frequent co-authors include Scott C. Baraban, G.A. Hortopan, Peter A. Castro, Stephan J. Guyenet, Michael R. Taylor, Manisha Patel, Ruth Fulton, Shane Rowley, Maneesh G. Kumar and Robert F. Hunt. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Scientific Reports.

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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