C. W. Perrett

31 papers receiving 1.2k citations

Peers

C. W. Perrett
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 352
  • Reproductive Medicine 155
  • Genetics 134
  • Cancer Research 166
  • Epidemiology 239
Replace Božo Krušlin with:
Božo Krušlin Croatia
Ercole Brunetti Italy
Naoko Sanno Japan
Raffaele Tecce Italy
Dina Ruano Netherlands
Peter Krasnov United States
Gary A. Bellus United States
Per P. Clausen Denmark
Kiyoshi Yasukawa Japan
Kiyoko Tanaka Japan
C. W. Perrett relative to Božo Krušlin Croatia Božo Krušlin's profile →
Citations per field
00.5×4.9×
Božo Krušlin · 1×
Citations per year

Countries citing papers authored by C. W. Perrett

Since Specialization
Citations

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

Fields of papers citing papers by C. W. Perrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994167
2 1997156
3 2004156
4 2002146
5 200375
6 199469
7 198866
8 199560
9 199658
10 200138
11 200135
12 200230
13 200527
14
Protein phosphorylation and synaptic transmission: receptor mediated modulation of protein kinase C in a rat brain fraction enriched in synaptosomes.
198626
15
Prognostic significance of intratumoral vascular endothelial growth factor as a marker of tumour angiogenesis in epithelial ovarian cancer.
201021
16
Proliferation and p53 expression in anal cancer precursor lesions.
200321
17
Angiogenesis in benign, pre-malignant and malignant vulvar lesions.
200321
18 200316
19
Could epithelial ovarian cancer be associated with chlamydial infection?
200713
20 200212

About C. W. Perrett

C. W. Perrett is a scholar working on Molecular Biology, Surgery, Cancer Research, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Genital Health and Disease (5 papers), Pituitary Gland Disorders and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Endometriosis Research and Treatment (2 papers) and Urologic and reproductive health conditions (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (352 citations), Reproductive Medicine (155 citations), Genetics (134 citations), Cancer Research (166 citations) and Epidemiology (239 citations). C. W. Perrett has collaborated with scholars based in United Kingdom, Israel and Italy. Frequent co-authors include Richard N. Clayton, Rajesh V. Thakker, K. J. Rolfe, Jesse C. Crow, Allan MacLean, John C. Broome, S. A. Whatley, R. M. Marchbanks, Matteo Pistorello and Donna Hewitt. Their work appears in journals such as International Journal of Gynecological Cancer, The Journal of Clinical Endocrinology & Metabolism, British Journal of Cancer, Schizophrenia Research and Molecular Pathology.

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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