Mark Charnock

23 papers receiving 332 citations

Peers

Mark Charnock
Comparison fields: 5 of 41
  • Reproductive Medicine 38
  • Epidemiology 107
  • Obstetrics and Gynecology 24
  • Oncology 33
  • Pathology and Forensic Medicine 24
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Citations per field
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Citations per year

Countries citing papers authored by Mark Charnock

Since Specialization
Citations

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

Fields of papers citing papers by Mark Charnock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200461
2 199741
3 199335
4 199732
5 200623
6
Overexpression of H-Ryk in epithelial ovarian cancer: prognostic significance of receptor expression.
200022
7 198920
8 198318
9 198217
10
Overexpression of H-Ryk in mouse fibroblasts confers transforming ability in vitro and in vivo: correlation with up-regulation in epithelial ovarian cancer.
199917
11 198616
12 199112
13
Distribution of transforming growth factor-beta isoforms TGF-beta 1, TGF-beta 2 and TGF-beta 3 and vascular endothelial growth factor in vulvar lichen sclerosus.
20019
14 19868
15 20187
16 19996
17 20195
18 19893
19 19933
20 19983

About Mark Charnock

Mark Charnock is a scholar working on Epidemiology, Reproductive Medicine, Surgery, Cell Biology and Pathology and Forensic Medicine, having authored 26 papers that have together received 362 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (11 papers), Ovarian cancer diagnosis and treatment (6 papers), Genital Health and Disease (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Autoimmune and Inflammatory Disorders (1 paper), Autoimmune Bullous Skin Diseases (1 paper), Gynecological conditions and treatments (1 paper) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Reproductive Medicine (38 citations), Epidemiology (107 citations), Obstetrics and Gynecology (24 citations), Oncology (33 citations) and Pathology and Forensic Medicine (24 citations). Mark Charnock has collaborated with scholars based in United Kingdom, India and South Africa. Frequent co-authors include Fenella Wojnarowska, Sanjiv Manek, P. Marren, D. Dean, Trivadi Sundaram Ganesan, Robert L. Bryce, Calypso Barbatis, Patricia E. Gibson, Hazel C. Gorham and Roy Katso. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, The Lancet, Journal of Clinical Pathology, Molecular Diagnosis 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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