C E Gillett

931 total citations
9 papers, 729 citations indexed

About

C E Gillett is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, C E Gillett has authored 9 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in C E Gillett's work include Cancer-related Molecular Pathways (3 papers), Molecular Biology Techniques and Applications (2 papers) and HER2/EGFR in Cancer Research (2 papers). C E Gillett is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Molecular Biology Techniques and Applications (2 papers) and HER2/EGFR in Cancer Research (2 papers). C E Gillett collaborates with scholars based in United Kingdom, Belgium and United States. C E Gillett's co-authors include D Steele, Kay Savage, K W Ryder, Andrew Tutt, Anne‐Marie Russell, Alan Ashworth, R. J. Springall, J. S. Reis-Filho, Nicholas C. Turner and Fernando Schmitt and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Oncogene.

In The Last Decade

C E Gillett

8 papers receiving 698 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
C E Gillett United Kingdom	6	449	369	304	163	110	9	729
Anita Langerød Norway	9	484 1.1×	568 1.5×	365 1.2×	111 0.7×	75 0.7×	17	898
Crispinita D. Arroyo United States	12	375 0.8×	224 0.6×	220 0.7×	108 0.7×	107 1.0×	12	663
Louis‐François Plassa France	12	549 1.2×	398 1.1×	377 1.2×	72 0.4×	81 0.7×	14	834
M Briffod France	12	312 0.7×	239 0.6×	261 0.9×	55 0.3×	136 1.2×	29	603
Tone Ikdahl Andersen Norway	17	521 1.2×	570 1.5×	353 1.2×	402 2.5×	227 2.1×	24	1.0k
G Merlo Italy	12	590 1.3×	516 1.4×	230 0.8×	94 0.6×	104 0.9×	13	856
Billie‐Jo M. Kerns United States	12	338 0.8×	228 0.6×	185 0.6×	46 0.3×	111 1.0×	18	592
Pinchas Osin United Kingdom	13	231 0.5×	298 0.8×	249 0.8×	283 1.7×	239 2.2×	16	715
Anne-Lise B√∏rresen-Dale Norway	9	483 1.1×	420 1.1×	301 1.0×	78 0.5×	90 0.8×	10	778
Daniela Kandioler-Eckersberger Austria	8	389 0.9×	220 0.6×	235 0.8×	70 0.4×	63 0.6×	11	583

Countries citing papers authored by C E Gillett

Since Specialization

Citations

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

Fields of papers citing papers by C E Gillett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C E Gillett

This figure shows the co-authorship network connecting the top 25 collaborators of C E Gillett. A scholar is included among the top collaborators of C E Gillett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C E Gillett. C E Gillett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Loi, Sherene, Benjamin Haibe‐Kains, Lajos Pusztai, et al.. (2009). PIK3CA, AKT1 MUTATION AND HER2 AMPLIFICATION GENE SIGNATURES (GS) SUGGEST PREDOMINANTLY NEGATIVE FEEDBACK INHIBITION OF PI3K/AKT PATHWAY IN HUMAN BREAST CANCER (BC).. Annals of Oncology. 20. 45–45. 1 indexed citations

Loi, Sherene, Benjamin Haibe‐Kains, Lajos Pusztai, et al.. (2009). Correlation of PIK3CA mutation-associated gene expression signature (PIK3CA-GS) with deactivation of the PI3K pathway and with prognosis within the luminal-B ER+ breast cancers. Journal of Clinical Oncology. 27(15_suppl). 533–533. 2 indexed citations

Turner, Nicholas C., J. S. Reis-Filho, Anne‐Marie Russell, et al.. (2006). BRCA1 dysfunction in sporadic basal-like breast cancer. Oncogene. 26(14). 2126–2132. 437 indexed citations

Barnes, D M, R R Millis, C E Gillett, et al.. (2004). The interaction of oestrogen receptor status and pathological features with adjuvant treatment in relation to survival in patients with operable breast cancer: a retrospective study of 2660 patients.. Endocrine Related Cancer. 11(1). 85–96. 24 indexed citations

Cooper, Lucienne, C E Gillett, A M Hanby, & D M Barnes. (1998). p53 immunoreactivity in breast cancer tissues does not deteriorate in stored paraffin sections. The Breast. 7(5). 260–264. 1 indexed citations

Barnes, D M & C E Gillett. (1995). Determination of cell proliferation. Molecular Pathology. 48(1). M2–M5. 21 indexed citations

Camplejohn, RS, C. M. Ash, C E Gillett, et al.. (1995). The prognostic significance of DNA flow cytometry in breast cancer: results from 881 patients treated in a single centre. British Journal of Cancer. 71(1). 140–145. 50 indexed citations

Camplejohn, RS, et al.. (1993). Ki-S1, a novel proliferative marker: flow cytometric assessment of staining in human breast carcinoma cells. British Journal of Cancer. 67(4). 657–662. 23 indexed citations

Barnes, D M, C E Gillett, L. G. Bobrow, et al.. (1992). Abnormal expression of wild type p53 protein in normal cells of a cancer family patient. The Lancet. 340(8814). 259–263. 170 indexed citations

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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