Matthew M. Tran

923 citations
5 papers · 619 indexed · h-index 4
Topics
Memory and Neural Mechanisms (4 papers)Neuroscience and Neuropharmacology Research (3 papers)Neuroendocrine regulation and behavior (3 papers)

In The Last Decade

Matthew M. Tran

5 papers receiving 616 citations

Peers

Matthew M. Tran
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 439
  • Cognitive Neuroscience 405
  • Molecular Biology 107
  • Behavioral Neuroscience 101
  • Social Psychology 86
Replace Shruti Muralidhar with:
Shruti Muralidhar United States
Charlotte R. Flavell United Kingdom
Nathan Insel Canada
Keith Tully United States
Eric W. Buss United States
Taejib Yoon United States
Priyanka Rao‐Ruiz Netherlands
Woong Bin Kim United States
Meilan Zhao United States
Denis Polygalov Japan
Matthew M. Tran relative to Shruti Muralidhar United States Shruti Muralidhar's profile →
Citations per field
00.5×4.4×
Shruti Muralidhar · 1×
Citations per year

Countries citing papers authored by Matthew M. Tran

Since Specialization
Citations

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

Fields of papers citing papers by Matthew M. Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew M. Tran

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 4
2 144
3 179
4 290
5 2

About Matthew M. Tran

Matthew M. Tran is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 5 papers that have together received 619 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Behavioral Neuroscience (101 citations), Cellular and Molecular Neuroscience (439 citations) and Cognitive Neuroscience (405 citations). Matthew M. Tran has collaborated with scholars based in Canada, Netherlands and Australia. Frequent co-authors include Blake A. Richards, Sheena A. Josselyn, Paul W. Frankland, Frances Xia, Kaori Takehara‐Nishiuchi, Jun Chul Kim, Valentina Mercaldo, Adelaide P. Yiu, Melanie A. Woodin and Jee Yoon Bang. Their work appears in journals such as Neuron, Neuropsychopharmacology and eLife.

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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