M. A. Tran

33 papers receiving 483 citations

Peers

M. A. Tran
Comparison fields: 5 of 65
  • Neurology 150
  • Behavioral Neuroscience 23
  • Cellular and Molecular Neuroscience 119
  • Endocrine and Autonomic Systems 36
  • Cardiology and Cardiovascular Medicine 106
Replace J L Montastruc with:
J L Montastruc France
Laura Watson United Kingdom
R. R. Abraham United Kingdom
Tian Z. Guo United States
J.S. Kuo Taiwan
R. Figdor Australia
Amy K. Roscoe United States
Thomas W. Vogelsang Denmark
S L Burke Australia
Winnie Lau Australia
M. A. Tran relative to J L Montastruc France J L Montastruc's profile →
Citations per field
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J L Montastruc · 1×
Citations per year

Countries citing papers authored by M. A. Tran

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199089
2 199350
3 199133
4 199132
5 199026
6 198922
7 198820
8 199919
9 199019
10 199019
11 198916
12 199116
13 199413
14 199512
15 200312
16 198412
17 199011
18 19939
19 19879
20 19879

About M. A. Tran

M. A. Tran is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Surgery and Neurology, having authored 34 papers that have together received 501 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (6 papers), Cardiovascular Syncope and Autonomic Disorders (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Neuroscience of respiration and sleep (5 papers), Neuroendocrine regulation and behavior (4 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Neurology (150 citations), Behavioral Neuroscience (23 citations), Cellular and Molecular Neuroscience (119 citations), Endocrine and Autonomic Systems (36 citations) and Cardiology and Cardiovascular Medicine (106 citations). M. A. Tran has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Jean‐Michel Sénard, J L Montastruc, M Berlan, A Rascol, Geneviève Durrieu, P Montastruc, Jean‐Louis Montastruc, Philippe Valet, Olivier Rascol and Christine Damase‐Michel. Their work appears in journals such as British Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, European Journal of Clinical Pharmacology, Clinical Neuropharmacology and Clinical Autonomic Research.

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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