Stephanie Redmond

2.2k citations
11 papers · 1.5k indexed · 1 hit paper · h-index 9
Topics
Neurogenesis and neuroplasticity mechanisms (8 papers)RNA Interference and Gene Delivery (3 papers)Nerve injury and regeneration (3 papers)

In The Last Decade

Stephanie Redmond

11 papers receiving 1.5k citations

Hit Papers

Micropillar arrays as a high-throughput screening platfor...20142026201820222014100200300400

Peers

Stephanie Redmond
Comparison fields: 5 of 98
  • Developmental Neuroscience 891
  • Cellular and Molecular Neuroscience 542
  • Neurology 523
  • Molecular Biology 515
  • Pathology and Forensic Medicine 193
Replace Iva D. Tzvetanova with:
Iva D. Tzvetanova United States
Sonia R. Mayoral United States
Matteo Rizzi United Kingdom
Corinne Bachelin France
Konstantina Psachoulia United Kingdom
Lorraine Lau Canada
Philip J. Horner United States
Akivaga Tsingalia United States
Lin Jin China
Tobias D. Merson Australia
Stephanie Redmond relative to Iva D. Tzvetanova United States Iva D. Tzvetanova's profile →
Citations per field
00.5×1.5×
Iva D. Tzvetanova · 1×
Citations per year

Countries citing papers authored by Stephanie Redmond

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Redmond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Redmond

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 78
2 82
3 8
4 64
5 145
6 124
7 74
8
Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosisbreakdown →
432
9 222
10 312
11 5

About Stephanie Redmond

Stephanie Redmond is a scholar working on Developmental Neuroscience, Family Practice and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (8 papers), RNA Interference and Gene Delivery (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Developmental Neuroscience (891 citations), Neurology (523 citations) and Cellular and Molecular Neuroscience (542 citations). Stephanie Redmond has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Jonah R. Chan, Seonok Lee, Feng Mei, Sonia R. Mayoral, Kae-Jiun Chang, Samuel J. Tuck, Joseph M. Corey, Michelle K. Leach, Synthia H. Mellon and Suet Yen Chong. Their work appears in journals such as Nature, Science and Nature Medicine.

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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