Amanda Tran

16 papers receiving 2.2k citations

Amanda Tran's Hit Papers

The Biology of Regeneration Failure and Success After Spinal Cord Injury 2018 · 659 citations
6590+4+8Years since publication200400600

Peers

Amanda Tran
Comparison fields: 5 of 100
  • Developmental Neuroscience 518
  • Cellular and Molecular Neuroscience 1.1k
  • Pathology and Forensic Medicine 867
  • Neurology 293
  • Cell Biology 364
Replace Sarah A. Busch with:
Sarah A. Busch United States
Kevin P. Horn United States
Andrea Tedeschi United States
Stephen M. Onifer United States
Guillermo García‐Alías Spain
Elizabeth M. Muir United Kingdom
Robert J. McKeon United States
Jared H. Miller United States
Catherine Doller United States
Minerva Giménez y Ribotta France
Amanda Tran relative to Sarah A. Busch United States Sarah A. Busch's profile →
Citations per field
00.5×4.7×
Sarah A. Busch · 1×
Citations per year

Countries citing papers authored by Amanda Tran

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
The Biology of Regeneration Failure and Success After Spinal Cord Injury
Hit paper breakdown →
2018659
2
Functional regeneration beyond the glial scar
Hit paper breakdown →
2014534
3 2014356
4 2010189
5 2021131
6 2014103
7 201858
8 201554
9 201853
10 201436
11 202034
12 202028
13 202210
14 20248
15 20233
16 20212

About Amanda Tran

Amanda Tran is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Pathology and Forensic Medicine and Developmental Neuroscience, having authored 16 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nerve injury and regeneration (8 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Spinal Cord Injury Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Signaling Pathways in Disease (3 papers), Calpain Protease Function and Regulation (2 papers), DNA Repair Mechanisms (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Developmental Neuroscience (518 citations), Cellular and Molecular Neuroscience (1.1k citations), Pathology and Forensic Medicine (867 citations), Neurology (293 citations) and Cell Biology (364 citations). Amanda Tran has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jerry Silver, Philippa M. Warren, Bradley T. Lang, Marc A. DePaul, Jared M. Cregg, Angela R. Filous, Sarah A. Busch, Kathryn M. Madalena, Yingjie Shen and Kui Xu. Their work appears in journals such as Journal of Neuroscience, Experimental Neurology, Nature Communications, Cell and Tissue Research and Physiological Reviews.

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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