Daniel J. Webber

17 papers receiving 1.0k citations

Daniel J. Webber's Hit Papers

Autologous mesenchymal stem cells for the treatment of secondary progressive multiple sclerosis: an open-label phase 2a proof-of-concept study 2012 · 462 citations
4620+4+9Years since publication100200300400

Peers

Daniel J. Webber
Comparison fields: 5 of 72
  • Developmental Neuroscience 306
  • Genetics 371
  • Pathology and Forensic Medicine 213
  • Neurology 101
  • Cellular and Molecular Neuroscience 203
Replace Lucia Zanotti with:
Lucia Zanotti Italy
François Renault-Mihara Japan
Sabine Wislet‐Gendebien Belgium
Hyung Chun Park South Korea
Alexander Guerrero Japan
Roxanne L. Reger United States
Jung Yeon Lim South Korea
Li-Ru Zhao United States
Ezio Gerdoni Italy
Emanuela Zappia Italy
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Citations per year

Countries citing papers authored by Daniel J. Webber

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Webber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Webber. 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 Daniel J. Webber. The network helps show where Daniel J. Webber may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Autologous mesenchymal stem cells for the treatment of secondary progressive multiple sclerosis: an open-label phase 2a proof-of-concept study
Hit paper breakdown →
2012462
2 2010125
3 201099
4 200751
5 200444
6 201142
7 200741
8 200834
9 200831
10 200931
11 201130
12 201317
13
Therapeutic potential of stem cells in central nervous system regeneration.
200411
14 20076
15 20073
16
Neural progenitors promote axon growth in vitro and ex vivo but not following injury
20093
17 20111

About Daniel J. Webber

Daniel J. Webber is a scholar working on Developmental Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Neurology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (8 papers), Pluripotent Stem Cells Research (4 papers), Nerve injury and regeneration (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neural Engineering (2 papers), Spinal Cord Injury Research (2 papers), Mesenchymal stem cell research (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (306 citations), Genetics (371 citations), Pathology and Forensic Medicine (213 citations), Neurology (101 citations) and Cellular and Molecular Neuroscience (203 citations). Daniel J. Webber has collaborated with scholars based in United Kingdom, South Sudan and Israel. Frequent co-authors include Siddharthan Chandran, Alastair Compston, Ming‐Qing Du, Madhan Kolappan, Rickie Patani, Andrew W. Michell, Michael A. Scott, Charles Crawley, Peter Connick and Shi‐Lu Luan. Their work appears in journals such as Journal of Neuroscience, Brain, Developmental Biology, Cell Transplantation and American Journal Of Pathology.

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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