Malcolm C. Pike

52.5k citations
403 papers · 33.1k · 13 hit papers · h-index 92

Impact in

Papers in

    • Cancer Risks and Factors 82
    • Global Cancer Incidence and Screening 26
    • Estrogen and related hormone effects 58
    • BRCA gene mutations in cancer 18

Malcolm C. Pike

398 papers receiving 31.1k citations

Malcolm C. Pike's Hit Papers

Ethnic and Racial Differences in the Smoking-Related Risk of Lung Cancer 2006 · 597 citations
5970+17+35Years since publication50010001.5k

Peers

Malcolm C. Pike
Comparison fields: 5 of 216
  • Oncology 8.1k
  • Reproductive Medicine 2.4k
  • Cancer Research 3.8k
  • Genetics 6.1k
  • Obstetrics and Gynecology 1.4k
Replace David J. Hunter with:
David J. Hunter United States
Hans‐Olov Adami Sweden
Valerie Beral United Kingdom
Brian E. Henderson United States
Donna Spiegelman United States
Leslie Bernstein United States
Julian Peto United Kingdom
John D. Potter United States
Robert N. Hoover United States
John A. Baron United States
Malcolm C. Pike relative to David J. Hunter United States David J. Hunter's profile →
Citations per field
00.5×1.5×
David J. Hunter · 1×
Citations per year

Countries citing papers authored by Malcolm C. Pike

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm C. Pike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 403 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design and analysis of randomized clinical trials requiring prolonged observation of each patient. I. Introduction and design
Hit paper breakdown →
19761610
2
Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease
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20031412
3
Estrogens, Progestogens, Normal Breast Cell Proliferation, and Breast Cancer Risk
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1993815
4
Migration Patterns and Breast Cancer Risk in Asian-American Women
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1993808
5
A Multiethnic Cohort in Hawaii and Los Angeles: Baseline Characteristics
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2000733
6
Conservatism of the approximation sigma (O-E)2-E in the logrank test for survival data or tumor incidence data.
Hit paper breakdown →
1973600
7
Ethnic and Racial Differences in the Smoking-Related Risk of Lung Cancer
Hit paper breakdown →
2006597
8
‘Hormonal’ risk factors, ‘breast tissue age’ and the age-incidence of breast cancer
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1983524
9
The role of oestrogens and progestagens in the epidemiology and prevention of breast cancer
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1988511
10
Endogenous hormones as a major factor in human cancer.
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1982480
11
352. Note: Conservatism of the Approximation Σ(O - E) 2 /E in the Logrank Test for Survival Data or Tumor Incidence Data
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1973447
12
Estrogens and Endometrial Cancer in a Retirement Community
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1976416
13
Guidelines for simple, sensitive significance tests for carcinogenic effects in long-term animal experiments.
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1980398
14 1992387
15 1984373
16 1982356
17
Her-2/neu expression in node-negative breast cancer: direct tissue quantitation by computerized image analysis and association of overexpression with increased risk of recurrent disease.
1993354
18 1978339
19 2000336
20 2003322

About Malcolm C. Pike

Malcolm C. Pike is a scholar working on Oncology, Genetics, Public Health, Environmental and Occupational Health, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 403 papers that have together received 33.1k indexed citations. Recurring topics across this work include Cancer Risks and Factors (82 papers), Estrogen and related hormone effects (58 papers), Ovarian cancer diagnosis and treatment (30 papers), Global Cancer Incidence and Screening (26 papers), Nutritional Studies and Diet (21 papers), Digital Radiography and Breast Imaging (21 papers), BRCA gene mutations in cancer (18 papers) and Testicular diseases and treatments (17 papers). The work is most often cited by research in Oncology (8.1k citations), Reproductive Medicine (2.4k citations), Cancer Research (3.8k citations), Genetics (6.1k citations) and Obstetrics and Gynecology (1.4k citations). Malcolm C. Pike has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Brian E. Henderson, Ronald K. Ross, Leslie Bernstein, John T. Casagrande, Anna H. Wu, Laurence N. Kolonel, Richard Peto, Celeste Leigh Pearce, Peter G. Smith and Darcy Spicer. Their work appears in journals such as British Journal of Cancer, JNCI Journal of the National Cancer Institute, The Lancet, American Journal of Epidemiology and Cancer Epidemiology Biomarkers & Prevention.

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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