N.H. Chapman

612 total citations
11 papers, 481 citations indexed

About

N.H. Chapman is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, N.H. Chapman has authored 11 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in N.H. Chapman's work include Genetic Associations and Epidemiology (3 papers), Autism Spectrum Disorder Research (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). N.H. Chapman is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Autism Spectrum Disorder Research (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). N.H. Chapman collaborates with scholars based in United States, Canada and Germany. N.H. Chapman's co-authors include E. A. Thompson, Ellen M. Wijsman, Hal Kennedy, Santica M. Marcovina, J J Albers, Zoran Brkanac, Jennifer B. Thomson, Ted Holzman, Wendy H. Raskind and Megumi Matsushita and has published in prestigious journals such as Journal of Lipid Research, Molecular Psychiatry and Human Genetics.

In The Last Decade

N.H. Chapman

11 papers receiving 462 citations

Peers

N.H. Chapman

GENET

SURGE

MB

EDM

CR

John Blangero United States

Robert C. Elston United States

Juliet Chapman United Kingdom

Helen Rance United Kingdom

Christopher I. Amos United States

Raili Ermel Estonia

Young Kim South Korea

Caitlin McHugh United States

Tetsuya Fujita Japan

Helen Butler United Kingdom

John Blangero United States

N.H. Chapman

349 ×1.7

GENET

46 ×0.3

SURGE

132 ×1.5

MB

54 ×0.8

EDM

18 ×0.3

CR

Citations per year, relative to N.H. Chapman N.H. Chapman (= 1×) peers John Blangero

Countries citing papers authored by N.H. Chapman

Since Specialization

Citations

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

Fields of papers citing papers by N.H. Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.H. Chapman. 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 N.H. Chapman. The network helps show where N.H. Chapman may publish in the future.

Co-authorship network of co-authors of N.H. Chapman

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

All Works

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11 of 11 papers shown

1.

Chapman, N.H., Raphael Bernier, Sara Jane Webb, et al.. (2018). Replication of a rare risk haplotype on 1p36.33 for autism spectrum disorder. Human Genetics. 137(10). 807–815. 3 indexed citations

2.

Blue, Elizabeth, Chang‐En Yu, Timothy A. Thornton, et al.. (2017). Variants regulating ZBTB4 are associated with age‐at‐onset of Alzheimer's disease. Genes Brain & Behavior. 17(6). e12429–e12429. 8 indexed citations

3.

Marchani, Elizabeth E., N.H. Chapman, Christina Cheung, et al.. (2012). Identification of Rare Variants from Exome Sequence in a Large Pedigree with Autism. Human Heredity. 74(3-4). 153–164. 9 indexed citations

4.

Raskind, Wendy H., Robert P. Igo, N.H. Chapman, et al.. (2005). A genome scan in multigenerational families with dyslexia: Identification of a novel locus on chromosome 2q that contributes to phonological decoding efficiency. Molecular Psychiatry. 10(7). 699–711. 58 indexed citations

5.

Chapman, N.H. & E. A. Thompson. (2003). A model for the length of tracts of identity by descent in finite random mating populations. Theoretical Population Biology. 64(2). 141–150. 40 indexed citations

6.

Chapman, N.H., et al.. (2003). Assignment of SOD3 to human chromosome band 4p15.3→p15.1 with somatic cell and radiation hybrid mapping, linkage mapping, and fluorescent in-situ hybridization. Cytogenetic and Genome Research. 101(2). 178C–178C. 3 indexed citations

7.

Chapman, N.H. & E. A. Thompson. (2001). 25 Linkage disequilibrium mapping: The role of population history, size, and structure. Advances in genetics. 42. 413–437. 139 indexed citations

8.

Chapman, N.H., Anne‐Louise Leutenegger, Michael D. Badzioch, et al.. (2001). The Importance of Connections: Joining Components of the Hutterite Pedigree. Genetic Epidemiology. 21(S1). S230–5. 11 indexed citations

9.

Chapman, N.H. & Ellen M. Wijsman. (2001). Introduction: Linkage Analyses in the Hutterites. Genetic Epidemiology. 21(S1). S222–3. 7 indexed citations

10.

Marcovina, Santica M., et al.. (1996). Differences in Lp[a] concentrations and apo[a] polymorphs between black and white Americans. Journal of Lipid Research. 37(12). 2569–2585. 196 indexed citations

11.

Bull, Shelley B., N.H. Chapman, Celia M.T. Greenwood, & Gerarda Darlington. (1995). Evaluation of genetic and environmental effects using GEE and APM methods. Genetic Epidemiology. 12(6). 729–734. 7 indexed citations

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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