Malcolm C. Pike

52.4k citations
519 papers · 43.3k · 15 hit papers · h-index 104

Impact in

    • Ovarian cancer diagnosis and treatment
  • Oncology top 0.1%
    • Cancer Risks and Factors
    • Global Cancer Incidence and Screening

Papers in

    • Ovarian cancer diagnosis and treatment 63
    • Cancer Risks and Factors 94
    • Global Cancer Incidence and Screening 27

Malcolm C. Pike

510 papers receiving 39.9k citations

Malcolm C. Pike's Hit Papers

Type I and II Endometrial Cancers: Have They Different Risk Factors? 2013 · 680 citations
6800+17+35Years since publication50010001.5k

Peers

Malcolm C. Pike
Comparison fields: 5 of 219
  • Reproductive Medicine 4.6k
  • Oncology 10.1k
  • Obstetrics and Gynecology 2.7k
  • Cancer Research 5.2k
  • Genetics 8.5k
Replace Louise Annette Brinton with:
Louise Annette Brinton United States
Robert N. Hoover United States
Leslie Bernstein United States
Matthias W. Beckmann Germany
Valerie Beral United Kingdom
Brian E. Henderson United States
Julian Peto United Kingdom
Hans‐Olov Adami Sweden
Lynne Ross Wilkens United States
Hoda Anton‐Culver United States
Malcolm C. Pike relative to Louise Annette Brinton United States Louise Annette Brinton's profile →
Citations per field
00.5×1.5×
Louise Annette Brinton · 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 519 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 →
19761873
2
Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease
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20031577
3
Migration Patterns and Breast Cancer Risk in Asian-American Women
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1993894
4
A Multiethnic Cohort in Hawaii and Los Angeles: Baseline Characteristics
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2000883
5
Estrogens, Progestogens, Normal Breast Cell Proliferation, and Breast Cancer Risk
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1993878
6
Association between endometriosis and risk of histological subtypes of ovarian cancer: a pooled analysis of case–control studies
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2012737
7
Type I and II Endometrial Cancers: Have They Different Risk Factors?
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2013680
8
Ethnic and Racial Differences in the Smoking-Related Risk of Lung Cancer
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2006656
9
Conservatism of the approximation sigma (O-E)2-E in the logrank test for survival data or tumor incidence data.
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1973630
10
‘Hormonal’ risk factors, ‘breast tissue age’ and the age-incidence of breast cancer
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1983571
11 2007562
12
The role of oestrogens and progestagens in the epidemiology and prevention of breast cancer
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1988560
13
Endogenous hormones as a major factor in human cancer.
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1982533
14
Estrogens and Endometrial Cancer in a Retirement Community
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1976483
15
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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1973480
16
Guidelines for simple, sensitive significance tests for carcinogenic effects in long-term animal experiments.
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1980429
17 1992420
18 1984413
19 2010387
20
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.
1993377

About Malcolm C. Pike

Malcolm C. Pike is a scholar working on Reproductive Medicine, Oncology, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 519 papers that have together received 43.3k indexed citations. Recurring topics across this work include Cancer Risks and Factors (94 papers), Estrogen and related hormone effects (73 papers), Ovarian cancer diagnosis and treatment (63 papers), BRCA gene mutations in cancer (31 papers), Global Cancer Incidence and Screening (27 papers), Endometrial and Cervical Cancer Treatments (26 papers), Digital Radiography and Breast Imaging (22 papers) and Nutritional Studies and Diet (22 papers). The work is most often cited by research in Reproductive Medicine (4.6k citations), Oncology (10.1k citations), Obstetrics and Gynecology (2.7k citations), Cancer Research (5.2k citations) and Genetics (8.5k citations). Malcolm C. Pike has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Brian E. Henderson, Leslie Bernstein, Ronald K. Ross, John T. Casagrande, Anna H. Wu, Laurence N. Kolonel, Richard Peto, Celeste Leigh Pearce, Peter G. Smith and DARCY V. SPICER. Their work appears in journals such as British Journal of Cancer, JNCI Journal of the National Cancer Institute, The Lancet, Cancer Epidemiology Biomarkers & Prevention and International 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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