Peter Connick

31 papers receiving 947 citations

Hit Papers

Autologous mesenchymal stem cells for the treatment of secondary progressive multiple sclerosis: an open-label phase 2a proof-of-concept study 2012 · 457 citations
4572012202620162021100200300400

Peers

Peter Connick
Comparison fields: 5 of 106
  • Developmental Neuroscience 171
  • Genetics 351
  • Pathology and Forensic Medicine 306
  • Neurology 93
  • Neurology 145
Replace Sabine Schädelin with:
Sabine Schädelin Switzerland
Laura Otero‐Ortega Spain
Laureen D. Hachem Canada
Yujia Yang China
Mariangela Farinotti Italy
Ofer Sadan United States
Stephen T. Magill United States
James T. Bennett United States
Bertrand Mathon France
Dorothée Mielke Germany
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Citations per year

Countries citing papers authored by Peter Connick

Since Specialization
Citations

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

Fields of papers citing papers by Peter Connick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#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 →
2012457
2 201752
3 201947
4 201546
5 202144
6 200938
7 201535
8 201633
9 202027
10 201325
11 201322
12 201321
13 202218
14 201917
15 202214
16 201912
17 20229
18 20228
19 20158
20 20236

About Peter Connick

Peter Connick is a scholar working on Pathology and Forensic Medicine, Biological Psychiatry, Developmental Neuroscience, Neurology and Critical Care and Intensive Care Medicine, having authored 33 papers that have together received 972 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (22 papers), Alzheimer's disease research and treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Powdery Mildew Fungal Diseases (2 papers), Mesenchymal stem cell research (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (171 citations), Genetics (351 citations), Pathology and Forensic Medicine (306 citations), Neurology (93 citations) and Neurology (145 citations). Peter Connick has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Siddharthan Chandran, Rickie Patani, Ming‐Qing Du, Alan J. Thompson, David H. Miller, Charles Crawley, Madhan Kolappan, Shi‐Lu Luan, Daniel R. Altmann and Michael A. Scott. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, PLoS ONE, Multiple Sclerosis and Related Disorders, Journal of Neurology and EBioMedicine.

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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