Per Hall

76.9k citations
625 papers · 61.0k · 29 hit papers · h-index 101

Impact in

  • Genetics top 0.02%
    • Genetic Associations and Epidemiology
    • BRCA gene mutations in cancer
    • Breast Cancer Treatment Studies

Papers in

    • Genetic Associations and Epidemiology 103
    • BRCA gene mutations in cancer 58
    • Cutaneous Melanoma Detection and Management 25
    • Cancer Risks and Factors 23
    • Global Cancer Incidence and Screening 12

Per Hall

616 papers receiving 59.3k citations

Per Hall's Hit Papers

Clinical biomarker-based biological aging and risk of cancer in the UK Biobank 2023 · 104 citations
1040+4+8Years since publication10002.0k3.0k

Peers

Per Hall
Comparison fields: 5 of 189
  • Genetics 15.2k
  • Cancer Research 3.3k
  • Radiation 1.4k
  • Oncology 3.6k
  • Pathology and Forensic Medicine 2.6k
Replace Alison M. Dunning with:
Alison M. Dunning United Kingdom
Leslie Bernstein United States
Jenny C. Chang-Claude Germany
Rosalind A. Eeles United Kingdom
­Eero Pukkala Finland
Hoda Anton‐Culver United States
Paul D.P. Pharoah United Kingdom
Lambertus A.L.M. Kiemeney Netherlands
Matthias W. Beckmann Germany
CARL P. BLOMQVIST Finland
Per Hall relative to Alison M. Dunning United Kingdom Alison M. Dunning's profile →
Citations per field
00.5×2×4×6×7.6×
Alison M. Dunning · 1×
Citations per year

Countries citing papers authored by Per Hall

Since Specialization
Citations

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

Fields of papers citing papers by Per Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Per Hall. 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 Per Hall. The network helps show where Per Hall may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 625 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic studies of body mass index yield new insights for obesity biology
Hit paper breakdown →
20153536
2
Risk of Ischemic Heart Disease in Women after Radiotherapy for Breast Cancer
Hit paper breakdown →
20133100
3
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Hit paper breakdown →
20102434
4
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
Hit paper breakdown →
20112243
5
Genome-wide association study identifies novel breast cancer susceptibility loci
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20071919
6
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Hit paper breakdown →
20101569
7
Defining the role of common variation in the genomic and biological architecture of adult human height
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20141408
8
Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis
Hit paper breakdown →
20131141
9
Association analysis identifies 65 new breast cancer risk loci
Hit paper breakdown →
20171040
10
An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival
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20051024
11
Large-scale genotyping identifies 41 new loci associated with breast cancer risk
Hit paper breakdown →
2013913
12
Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
Hit paper breakdown →
2018775
13
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Hit paper breakdown →
2010761
14 2005647
15
RAD51B in Familial Breast Cancer
Hit paper breakdown →
2016641
16
Second Cancers Among 40 576 Testicular Cancer Patients: Focus on Long-term Survivors
Hit paper breakdown →
2005640
17
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
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2013625
18 2014610
19 2005581
20 2006577

About Per Hall

Per Hall is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 625 papers that have together received 61.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (103 papers), Digital Radiography and Breast Imaging (85 papers), BRCA gene mutations in cancer (58 papers), Multiple and Secondary Primary Cancers (34 papers), Cutaneous Melanoma Detection and Management (25 papers), Cancer Risks and Factors (23 papers), Breast Cancer Treatment Studies (19 papers) and Global Cancer Incidence and Screening (12 papers). The work is most often cited by research in Genetics (15.2k citations), Cancer Research (3.3k citations), Radiation (1.4k citations), Oncology (3.6k citations) and Pathology and Forensic Medicine (2.6k citations). Per Hall has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Kamila Czene, Paul William Dickman, Jonas C. S. Bergh, Paul McGale, Sarah C. Darby, Mikael Eriksson, Marianne Ewertz, Maj‐Britt Jensen, Yudi Pawitan and Kazem Rahimi. Their work appears in journals such as Breast Cancer Research, International Journal of Cancer, JNCI Journal of the National Cancer Institute, Nature Genetics and British Journal of Cancer.

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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