Anne Marion Taylor

4.6k citations
35 papers · 3.5k indexed · 1 hit paper · h-index 23
Topics
Neuroscience and Neural Engineering (16 papers)3D Printing in Biomedical Research (14 papers)Axon Guidance and Neuronal Signaling (5 papers)

In The Last Decade

Anne Marion Taylor

35 papers receiving 3.5k citations

Hit Papers

A microfluidic culture platform for CNS axonal injury, re...20052026201220192005250500750

Peers

Anne Marion Taylor
Comparison fields: 5 of 136
  • Cellular and Molecular Neuroscience 1.8k
  • Biomedical Engineering 1.4k
  • Molecular Biology 1.2k
  • Cognitive Neuroscience 427
  • Cell Biology 401
Replace Todd C. Holmes with:
Todd C. Holmes United States
D. Wénzel Germany
Louise S. Bicknell New Zealand
Magdalena Renner Austria
Im Joo Rhyu South Korea
Nina Huber United States
Ola Hermanson Sweden
Quyen T. Nguyen United States
Nancy O’Rourke United States
Anca M. Pașca United States
Anne Marion Taylor relative to Todd C. Holmes United States Todd C. Holmes's profile →
Citations per field
00.5×1.7×
Todd C. Holmes · 1×
Citations per year

Countries citing papers authored by Anne Marion Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Anne Marion Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Marion Taylor. 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 Anne Marion Taylor. The network helps show where Anne Marion Taylor may publish in the future.

Co-authorship network of co-authors of Anne Marion Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Marion Taylor. A scholar is included among the top collaborators of Anne Marion Taylor 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 Anne Marion Taylor. Anne Marion Taylor 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 29
2 15
3 10
4 10
5 13
6 38
7 40
8 14
9 3
10 63
11 76
12 222
13 73
14 213
15 355
16 47
17 59
18
A microfluidic culture platform for CNS axonal injury, regeneration and transportbreakdown →
889
19 234
20 31

About Anne Marion Taylor

Anne Marion Taylor is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 35 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (16 papers), 3D Printing in Biomedical Research (14 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Developmental Neuroscience (294 citations) and Biomedical Engineering (1.4k citations). Anne Marion Taylor has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Seog Woo Rhee, Carl W. Cotman, David H. Cribbs, Noo Li Jeon, Mathew Blurton‐Jones, Noo Li Jeon, Christina Tu, Erin M. Schuman, Hiroshi Ito and Ian Oswald. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

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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