Pak C. Sham

122.9k citations
707 papers · 64.9k · 16 hit papers · h-index 100

Impact in

  • Genetics top 0.01%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Genetics and Neurodevelopmental Disorders
    • Genetic diversity and population structure
    • Schizophrenia research and treatment
    • Bipolar Disorder and Treatment

Papers in

    • Genetic Associations and Epidemiology 194
    • Genetic Mapping and Diversity in Plants and Animals 71
    • Genomics and Rare Diseases 38
    • Genetic and phenotypic traits in livestock 37
    • Genomic variations and chromosomal abnormalities 32
    • Bioinformatics and Genomic Networks 30

Pak C. Sham

694 papers receiving 63.1k citations

Pak C. Sham's Hit Papers

Single-cell RNA sequencing shows the immunosuppressive landscape and tumor heterogeneity of HBV-associated hepatocellular carcinoma 2021 · 222 citations
2220+10+20Years since publication5.0k10.0k15.0k20.0k

Peers

Pak C. Sham
Comparison fields: 5 of 218
  • Genetics 22.0k
  • Psychiatry and Mental health 10.0k
  • Biological Psychiatry 1.6k
  • Cognitive Neuroscience 4.9k
  • Clinical Psychology 4.7k
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Pak C. Sham relative to Michael J. Owen United Kingdom Michael J. Owen's profile →
Citations per field
00.5×1.5×2.2×
Michael J. Owen · 1×
Citations per year

Countries citing papers authored by Pak C. Sham

Since Specialization
Citations

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

Fields of papers citing papers by Pak C. Sham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak C. Sham. 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 Pak C. Sham. The network helps show where Pak C. Sham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 707 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses
Hit paper breakdown →
200722617
2
Genetic Power Calculator: design of linkage andassociation genetic mapping studies of complex traits
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20021650
3
The support of human genetic evidence for approved drug indications
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2015967
4
The Heritability of Bipolar Affective Disorder and the Genetic Relationship to Unipolar Depression
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2003901
5
Stress and Psychological Distress among SARS Survivors 1 Year after the Outbreak
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2007839
6
Monte Carlo tests for associations between disease and alleles at highly polymorphic loci
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1995809
7
Prevalence and Pattern of Lumbar Magnetic Resonance Imaging Changes in a Population Study of One Thousand Forty-Three Individuals
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2009702
8
Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets
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2011630
9
Heritability estimates for psychotic disorders: the Maudsley twin psychosis series.
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1999611
10
Statistical methods of estimation and inference for functional MR image analysis
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1996589
11
A novel functional polymorphism within the promoter of the serotonin transporter gene: possible role in susceptibility to affective disorders.
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1996580
12
Immediate and Sustained Psychological Impact of an Emerging Infectious Disease Outbreak on Health Care Workers
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2007558
13
Gene–environment interaction analysis of serotonin system markers with adolescent depression
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2004554
14
An extended transmission/disequilibrium test (TDT) for multi‐allele marker loci
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1995510
15 2004494
16 2002466
17 2006453
18
Statistics in human genetics
1997439
19 2003414
20 2004392

About Pak C. Sham

Pak C. Sham is a scholar working on Genetics, Molecular Biology, Psychiatry and Mental health, Clinical Psychology and Cognitive Neuroscience, having authored 707 papers that have together received 64.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (194 papers), Schizophrenia research and treatment (98 papers), Genetic Mapping and Diversity in Plants and Animals (71 papers), Bipolar Disorder and Treatment (45 papers), Genomics and Rare Diseases (38 papers), Genetic and phenotypic traits in livestock (37 papers), Genomic variations and chromosomal abnormalities (32 papers) and Bioinformatics and Genomic Networks (30 papers). The work is most often cited by research in Genetics (22.0k citations), Psychiatry and Mental health (10.0k citations), Biological Psychiatry (1.6k citations), Cognitive Neuroscience (4.9k citations) and Clinical Psychology (4.7k citations). Pak C. Sham has collaborated with scholars based in Hong Kong, United Kingdom and China. Frequent co-authors include Shaun Purcell, Benjamin M. Neale, Mark J. Daly, Manuel A. R. Ferreira, D.B. Bender, Pamela Sklar, Katherine EO Todd-Brown, Paul I. W. de Bakker, Julian Maller and Robin Murray. Their work appears in journals such as Schizophrenia Research, Psychological Medicine, Behavior Genetics, The British Journal of Psychiatry and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

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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