Christopher D. Swagell

530 citations
21 papers · 392 indexed · h-index 13
Topics
Neurotransmitter Receptor Influence on Behavior (10 papers)Genetic Associations and Epidemiology (6 papers)Liver Disease Diagnosis and Treatment (3 papers)

In The Last Decade

Christopher D. Swagell

21 papers receiving 379 citations

Peers

Christopher D. Swagell
Comparison fields: 5 of 68
  • Molecular Biology 151
  • Cellular and Molecular Neuroscience 112
  • Genetics 74
  • Psychiatry and Mental health 69
  • Epidemiology 61
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Citations per field
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Citations per year

Countries citing papers authored by Christopher D. Swagell

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Swagell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Swagell. 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 Christopher D. Swagell. The network helps show where Christopher D. Swagell may publish in the future.

Co-authorship network of co-authors of Christopher D. Swagell

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher D. Swagell. A scholar is included among the top collaborators of Christopher D. Swagell 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 Christopher D. Swagell. Christopher D. Swagell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
A novel DRD2 single-nucleotide polymorphism associated with schizophrenia predicts age of onset : HapMap tag-single-nucleotide polymorphism analysis
1
2 23
3 1
4 1
5 12
6 16
7 22
8 16
9 1
10 20
11 24
12 21
13
Analysis of HapMap tag-SNPs in dysbindin (DTNBP1) reveals evidence of consistent association with schizophrenia
1
14 5
15 67
16 17
17 9
18 25
19 62
20 46

About Christopher D. Swagell

Christopher D. Swagell is a scholar working on Aging, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 21 papers that have together received 392 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Genetic Associations and Epidemiology (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Behavioral Neuroscience (44 citations), Biological Psychiatry (29 citations) and Cellular and Molecular Neuroscience (112 citations). Christopher D. Swagell has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include C. Phillip Morris, Bruce R. Lawford, Ross McD. Young, Ian Hughes, Joanne Voisey, Debra C. Henly, Angela van Daal, Karen Heslop, Nora E. Riley and Simon Worrall. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Journal of Affective Disorders.

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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