MC Pike

2.9k citations
20 papers · 2.3k indexed · 1 hit paper · h-index 17

MC Pike

20 papers receiving 2.2k citations

Hit Papers

Increased cell division as a cause of human cancer.7221990202620022014200400600

Peers

MC Pike
Comparison fields: 5 of 119
  • Reproductive Medicine 348
  • Oncology 885
  • Genetics 789
  • Obstetrics and Gynecology 220
  • Cancer Research 401
Replace Mary Anne Rossing with:
Mary Anne Rossing United States
Benjamin S. Leung United States
J. Poortman Netherlands
David J. Hunter United States
Beata Smolarz Poland
P.G. Satyaswaroop United States
R.D. Bulbrook United Kingdom
Roxana Moslehi United States
Yves‐Jean Bignon France
Serafino Pantano Switzerland
MC Pike relative to Mary Anne Rossing United States Mary Anne Rossing's profile →
Citations per field
00.5×1.5×
Mary Anne Rossing · 1×
Citations per year

Countries citing papers authored by MC Pike

Since Specialization
Citations

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

Fields of papers citing papers by MC Pike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Germ-line HER-2 variant and breast cancer risk by stage of disease.
200137
2 199853
3 199647
4 199642
5 199689
6 199630
7 199410
8 1992140
9 19912
10 1990104
11 1990159
12 199062
13 1990126
14
Increased cell division as a cause of human cancer.breakdown →
1990722
15 198943
16 198812
17 1988400
18 198759
19 198786
20 198731

About MC Pike

MC Pike is a scholar working on Obstetrics and Gynecology, Oncology, Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Risks and Factors (7 papers), Estrogen and related hormone effects (6 papers), Testicular diseases and treatments (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Nutritional Studies and Diet (2 papers), Body Composition Measurement Techniques (2 papers), Hormonal and reproductive studies (2 papers) and Urologic and reproductive health conditions (2 papers). The work is most often cited by research in Reproductive Medicine (348 citations), Oncology (885 citations), Genetics (789 citations), Obstetrics and Gynecology (220 citations) and Cancer Research (401 citations). MC Pike has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include R K Ross, Brian E. Henderson, Susan Preston‐Martin, Peter A. Jones, CED Chilvers, T J Key, Leslie Bernstein, J Boreham, J. B. Brown and Hiroyuki Shimizu. Their work appears in journals such as British Journal of Cancer, Blood and PubMed.

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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