G. D. Crawford
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Cognitive Neuroscience top 5%
- Pharmacology top 2%
- Physiology top 10%
- Co-authors
- Paul M. SalvaterraJames E. VaughnCarolyn R. HouserRobert P. BarberPatricia E. PhelpsEnrico StefaniJ. Randall SlemmonS. H. Appel
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Glycosylation and Glycoproteins Research (3 papers)Nicotinic Acetylcholine Receptors Study (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United StatesSlovakiaUnited Kingdom
In The Last Decade
G. D. Crawford
14 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 1.1k
- Cognitive Neuroscience 508
- Pharmacology 371
- Physiology 348
Countries citing papers authored by G. D. Crawford
This map shows the geographic impact of G. D. Crawford'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 G. D. Crawford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. D. Crawford more than expected).
Fields of papers citing papers by G. D. Crawford
This network shows the impact of papers produced by G. D. Crawford. 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 G. D. Crawford. The network helps show where G. D. Crawford may publish in the future.
Co-authorship network of co-authors of G. D. Crawford
This figure shows the co-authorship network connecting the top 25 collaborators of G. D. Crawford. A scholar is included among the top collaborators of G. D. Crawford 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 G. D. Crawford. G. D. Crawford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 98 | |
| 3 | 154 | |
| 4 | 118 | |
| 5 | 11 | |
| 6 | 334 | |
| 7 | 137 | |
| 8 | 35 | |
| 9 | 391 | |
| 10 | Organization and morphological characteristics of cholonergic neurons: an immunocytochemical study with a monoclonal antibody to choline acetyltransferasebreakdown → | 681 |
| 11 | 22 | |
| 12 | 39 | |
| 13 | 115 | |
| 14 | 48 |
About G. D. Crawford
G. D. Crawford is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 14 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Developmental Neuroscience (204 citations) and Endocrine and Autonomic Systems (184 citations). G. D. Crawford has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include Paul M. Salvaterra, James E. Vaughn, Carolyn R. Houser, Robert P. Barber, Patricia E. Phelps, Paul M. Salvaterra, Enrico Stefani, J. Randall Slemmon, S. H. Appel and E. Roberts. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.