William A. Lackington

504 citations
14 papers · 394 · h-index 10

Impact in

Papers in

William A. Lackington

14 papers receiving 394 citations

Peers

William A. Lackington
Comparison fields: 5 of 63
  • Cellular and Molecular Neuroscience 200
  • Biomaterials 136
  • Developmental Neuroscience 23
  • Biomedical Engineering 205
  • Rehabilitation 25
Replace Nima Khadem Mohtaram with:
Nima Khadem Mohtaram Canada
Aniq Darr United States
Coline Pinese France
Christopher M. Walthers United States
Shunxiang Xu China
Fu Zhai Cui China
Rainer H. Mueller Germany
Masumeh Dodel Iran
Jiaxing Gong China
Shivesh Anand Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by William A. Lackington

Since Specialization
Citations

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

Fields of papers citing papers by William A. Lackington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2016111
2 201960
3 201759
4 201844
5 202221
6 201119
7 202016
8 202214
9 202312
10 202112
11 20248
12 20227
13 20247
14 20244

About William A. Lackington

William A. Lackington is a scholar working on Biomedical Engineering, Surgery, Cellular and Molecular Neuroscience, Molecular Biology and Biomaterials, having authored 14 papers that have together received 394 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), Nerve injury and regeneration (4 papers), Graphene and Nanomaterials Applications (2 papers), Wound Healing and Treatments (2 papers), Laser Applications in Dentistry and Medicine (2 papers), RNA Interference and Gene Delivery (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Dental materials and restorations (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (200 citations), Biomaterials (136 citations), Developmental Neuroscience (23 citations), Biomedical Engineering (205 citations) and Rehabilitation (25 citations). William A. Lackington has collaborated with scholars based in Switzerland, Ireland and Austria. Frequent co-authors include Fergal J. O’Brien, Alan J. Ryan, Tijna Alekseeva, Alan Hibbitts, Rosanne M. Raftery, Gang Chen, Zuzana Kočí, Anna Stejskalová, Markus Rottmar and Peter Schweizer. Their work appears in journals such as Advanced Healthcare Materials, Acta Biomaterialia, Advanced Materials Interfaces, ACS Biomaterials Science & Engineering and Frontiers in Bioengineering and Biotechnology.

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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