Michelle K. Leach

1.7k citations
31 papers · 1.3k indexed · h-index 19
Topics
Electrospun Nanofibers in Biomedical Applications (18 papers)Nerve injury and regeneration (8 papers)Tissue Engineering and Regenerative Medicine (7 papers)

In The Last Decade

Michelle K. Leach

31 papers receiving 1.3k citations

Peers

Michelle K. Leach
Comparison fields: 5 of 96
  • Biomedical Engineering 635
  • Cellular and Molecular Neuroscience 456
  • Biomaterials 450
  • Polymers and Plastics 318
  • Developmental Neuroscience 243
Replace Denis Scaini with:
Denis Scaini Italy
Joseph M. Corey United States
Yinghui Zhong United States
Paul George United States
Lohitash Karumbaiah United States
Liumin He China
Joseph M. Corey United States
Jinghui Huang China
Zhijian Zhang China
Jonathan M. Zuidema United States
Michelle K. Leach relative to Denis Scaini Italy Denis Scaini's profile →
Citations per field
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Denis Scaini · 1×
Citations per year

Countries citing papers authored by Michelle K. Leach

Since Specialization
Citations

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

Fields of papers citing papers by Michelle K. Leach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle K. Leach. 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 Michelle K. Leach. The network helps show where Michelle K. Leach may publish in the future.

Co-authorship network of co-authors of Michelle K. Leach

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle K. Leach. A scholar is included among the top collaborators of Michelle K. Leach 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 Michelle K. Leach. Michelle K. Leach 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 2
2 23
3 14
4 5
5
Biomimetic Electrospun Fibers for Peripheral Nervous System Repair
1
6 76
7 41
8 312
9 72
10 41
11 87
12 64
13 29
14 12
15 23
16 51
17 21
18 72
19 34
20 110

About Michelle K. Leach

Michelle K. Leach is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (18 papers), Nerve injury and regeneration (8 papers) and Tissue Engineering and Regenerative Medicine (7 papers). The work is most often cited by research in Developmental Neuroscience (243 citations), Biomaterials (450 citations) and Cellular and Molecular Neuroscience (456 citations). Michelle K. Leach has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Joseph M. Corey, Samuel J. Tuck, David C. Martin, Zhang‐Qi Feng, Qing Jiang, Lin Jin, Jonah R. Chan, Stephanie Redmond, Synthia H. Mellon and Suet Yen Chong. Their work appears in journals such as Biomaterials, Nature Methods and Journal of Materials Chemistry.

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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