Charles Raiborn
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Developmental Neuroscience top 5%
- Physiology
- Cell Biology
- Co-authors
- Silvio VaronPatricia BurnhamS VaronTakeshi SetoC. M. PomeratH. R. MaurerDonald E. RoundsGuy M. McKhann
- Topics
- Nerve injury and regeneration (5 papers)Neurogenesis and neuroplasticity mechanisms (5 papers)Neuroscience and Neural Engineering (3 papers)
- Partner nations
- United StatesItalyIndia
In The Last Decade
Charles Raiborn
14 papers receiving 507 citations
Peers
Comparison fields: 5 of 71
- Cellular and Molecular Neuroscience 403
- Molecular Biology 243
- Developmental Neuroscience 151
- Physiology 53
- Cell Biology 40
Countries citing papers authored by Charles Raiborn
This map shows the geographic impact of Charles Raiborn'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 Charles Raiborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Raiborn more than expected).
Fields of papers citing papers by Charles Raiborn
This network shows the impact of papers produced by Charles Raiborn. 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 Charles Raiborn. The network helps show where Charles Raiborn may publish in the future.
Co-authorship network of co-authors of Charles Raiborn
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Raiborn. A scholar is included among the top collaborators of Charles Raiborn 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 Charles Raiborn. Charles Raiborn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Implication of a nerve growth factor-like antigen in the support derived by ganglionic neurons from their homologous glia in dissociated cultures. | 41 |
| 2 | Selective potency of homologous ganglionic non-neuronal cells for the support of dissociated ganglionic neurons in culture. | 37 |
| 3 | 37 | |
| 4 | 55 | |
| 5 | Dissociation of chick embryo spinal ganglia and the effects on cell yields by the mouse 7S nerve growth factor protein. | 10 |
| 6 | Protective effect of mouse 7S nerve growth factor protein and its alpha subunit on embryonic sensory ganglionic cells during dissociation. | 10 |
| 7 | 121 | |
| 8 | 82 | |
| 9 | 34 | |
| 10 | 97 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 17 |
About Charles Raiborn
Charles Raiborn is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 14 papers that have together received 561 indexed citations. Recurring topics across this work include Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Developmental Neuroscience (151 citations), Cellular and Molecular Neuroscience (403 citations) and Neurology (34 citations). Charles Raiborn has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Silvio Varon, Patricia Burnham, S Varon, Takeshi Seto, C. M. Pomerat, H. R. Maurer, Donald E. Rounds, Guy M. McKhann and Winnie Ho. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Brain Research.
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.