Anh Hai Tran

1.5k citations
38 papers · 1.1k indexed · h-index 18
Topics
Memory and Neural Mechanisms (12 papers)Neuroscience and Neuropharmacology Research (8 papers)Toxic Organic Pollutants Impact (6 papers)

In The Last Decade

Anh Hai Tran

37 papers receiving 1.1k citations

Peers

Anh Hai Tran
Comparison fields: 5 of 111
  • Cognitive Neuroscience 549
  • Cellular and Molecular Neuroscience 304
  • Health, Toxicology and Mutagenesis 180
  • Social Psychology 139
  • Sensory Systems 118
Replace Cara M. Altimus with:
Cara M. Altimus United States
Oliver Rawashdeh Australia
Guillaume Martel France
H.–W. Liao United States
Andrew K. Tryba United States
David Rosenegger Canada
Teruko Uwano Japan
Peng Cao China
Natalie Cappaert Netherlands
Elizabeth K. Unger United States
Anh Hai Tran relative to Cara M. Altimus United States Cara M. Altimus's profile →
Citations per field
00.5×3.6×
Cara M. Altimus · 1×
Citations per year

Countries citing papers authored by Anh Hai Tran

Since Specialization
Citations

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

Fields of papers citing papers by Anh Hai Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anh Hai Tran

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 8
4 17
5 8
6 6
7 49
8 28
9 77
10 7
11 13
12 42
13 17
14 40
15 73
16 46
17 20
18 29
19 20
20 52

About Anh Hai Tran

Anh Hai Tran is a scholar working on Cognitive Neuroscience, Sensory Systems and Health, Toxicology and Mutagenesis, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (8 papers) and Toxic Organic Pollutants Impact (6 papers). The work is most often cited by research in Cognitive Neuroscience (549 citations), Sensory Systems (118 citations) and Cellular and Molecular Neuroscience (304 citations). Anh Hai Tran has collaborated with scholars based in Japan, Vietnam and United States. Frequent co-authors include Hisao Nishijo, Taketoshi Ono, Etsuro Hori, Jumpei Matsumoto, Minh Nui Nguyen, Rafael S. Maior, Carlos Tomaz, Teruko Uwano, Motoya Katsuki and Quan Van Le. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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