David Muir

3.3k citations
42 papers · 2.9k · h-index 28

Impact in

Papers in

David Muir

42 papers receiving 2.8k citations

Peers

David Muir
Comparison fields: 5 of 96
  • Developmental Neuroscience 329
  • Cellular and Molecular Neuroscience 1.2k
  • Neurology 860
  • Rehabilitation 263
  • Cell Biology 394
Replace Yoh‐suke Mukouyama with:
Yoh‐suke Mukouyama United States
David R. Gies United States
Jean G. Toma Canada
Toby A. Ferguson United States
Joaquim Miguel Vieira United Kingdom
Maria J. Crowe United States
Masanori Sasaki Japan
Ilaria Napoli Italy
RP Bunge United States
David Muir relative to Yoh‐suke Mukouyama United States Yoh‐suke Mukouyama's profile →
Citations per field
00.5×3.7×
Yoh‐suke Mukouyama · 1×
Citations per year

Countries citing papers authored by David Muir

Since Specialization
Citations

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

Fields of papers citing papers by David Muir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002288
2 1998256
3 2006169
4 2001161
5 1998155
6 2000147
7 2002137
8 1989116
9 1994104
10 200998
11 200091
12 198990
13 201087
14 200186
15 200975
16 200266
17 201665
18 199260
19 199559
20 200546

About David Muir

David Muir is a scholar working on Neurology, Cellular and Molecular Neuroscience, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 42 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (21 papers), Nerve injury and regeneration (13 papers), Sarcoma Diagnosis and Treatment (9 papers), Meningioma and schwannoma management (9 papers), Neuroblastoma Research and Treatments (7 papers), Wound Healing and Treatments (5 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Developmental Neuroscience (329 citations), Cellular and Molecular Neuroscience (1.2k citations), Neurology (860 citations), Rehabilitation (263 citations) and Cell Biology (394 citations). David Muir has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Debbie Neubauer, Toby A. Ferguson, Jian Zuo, Margaret R. Wallace, Craig A. Krekoski, James B. Graham, Jian Zuo, Martin C. Robson, Ran Liu and Gregory S. Schultz. Their work appears in journals such as Experimental Neurology, Journal of Neuropathology & Experimental Neurology, Genes Chromosomes and Cancer, Oncogene and Developmental Dynamics.

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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