A. E. Lykkesfeldt

504 total citations
10 papers, 415 citations indexed

About

A. E. Lykkesfeldt is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, A. E. Lykkesfeldt has authored 10 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in A. E. Lykkesfeldt's work include Estrogen and related hormone effects (8 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). A. E. Lykkesfeldt is often cited by papers focused on Estrogen and related hormone effects (8 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Protein Kinase Regulation and GTPase Signaling (1 paper). A. E. Lykkesfeldt collaborates with scholars based in Denmark and United Kingdom. A. E. Lykkesfeldt's co-authors include P Briand, Mogens Winkel Madsen, Inga Laursen, Alan E. Wakeling, Michael D. Johnson, Felicity E. B. May, Lynda R. Wiseman, Bruce R. Westley, Jan Skouv and S. S. Larsen and has published in prestigious journals such as International Journal of Cancer, European Journal of Cancer and Breast Cancer Research and Treatment.

In The Last Decade

A. E. Lykkesfeldt

10 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. E. Lykkesfeldt Denmark 7 228 209 186 76 70 10 415
Helen R. Kim United States 9 199 0.9× 213 1.0× 162 0.9× 85 1.1× 43 0.6× 9 420
Shi-Ting Jiang China 4 372 1.6× 240 1.1× 171 0.9× 73 1.0× 58 0.8× 8 462
Edward Ruby United States 5 286 1.3× 99 0.5× 111 0.6× 57 0.8× 111 1.6× 11 429
P Briand Denmark 9 229 1.0× 195 0.9× 218 1.2× 107 1.4× 32 0.5× 13 477
V. Craig Jordan United States 9 392 1.7× 156 0.7× 184 1.0× 121 1.6× 103 1.5× 9 502
V C Jordan United States 9 394 1.7× 180 0.9× 163 0.9× 90 1.2× 56 0.8× 11 476
Mary D. Adrian United States 12 351 1.5× 166 0.8× 109 0.6× 50 0.7× 100 1.4× 18 613
Ildegarda Campisi Italy 12 123 0.5× 118 0.6× 135 0.7× 68 0.9× 51 0.7× 16 425
C.G. Castles United States 6 344 1.5× 242 1.2× 157 0.8× 78 1.0× 36 0.5× 7 460
A E Hornby United States 7 265 1.2× 304 1.5× 145 0.8× 62 0.8× 67 1.0× 7 540

Countries citing papers authored by A. E. Lykkesfeldt

Since Specialization
Citations

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

Fields of papers citing papers by A. E. Lykkesfeldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. E. Lykkesfeldt

This figure shows the co-authorship network connecting the top 25 collaborators of A. E. Lykkesfeldt. A scholar is included among the top collaborators of A. E. Lykkesfeldt 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 A. E. Lykkesfeldt. A. E. Lykkesfeldt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Fog, Cathrine K., Ib Jarle Christensen, & A. E. Lykkesfeldt. (2005). Characterization of a human breast cancer cell line, MCF-7/RU58R-1, resistant to the pure antiestrogen RU 58,668. Breast Cancer Research and Treatment. 91(2). 133–144. 10 indexed citations
3.
Pancholi, Sunil, et al.. (2005). The interaction of the ER with ERBB2 and PI3K results in elevated levels of AKT and p90RSK in tamoxifen-resistant MCF-7 cells. Breast Cancer Research. 7(S2). 5 indexed citations
4.
Lykkesfeldt, A. E., et al.. (2003). Resistance to different antiestrogens is caused by different multi-factorial changes and is associated with reduced expression of IGF receptor Ialpha.. Endocrine Related Cancer. 10(4). 579–590. 23 indexed citations
5.
Skouv, Jan, et al.. (2000). Increased expression of cytochrome p450 1A1 and 1B1 genes in anti-estrogen-resistant human breast cancer cell lines. International Journal of Cancer. 88(6). 902–906. 34 indexed citations
7.
Lykkesfeldt, A. E., Mogens Winkel Madsen, & P Briand. (1994). Altered expression of estrogen-regulated genes in a tamoxifen-resistant and ICI 164,384 and ICI 182,780 sensitive human breast cancer cell line, MCF-7/TAMR-1.. PubMed. 54(6). 1587–95. 139 indexed citations
8.
Wiseman, Lynda R., Michael D. Johnson, Alan E. Wakeling, et al.. (1993). Type I IGF receptor and acquired tamoxifen resistance in oestrogen-responsive human breast cancer cells. European Journal of Cancer. 29(16). 2256–2264. 71 indexed citations
9.
Laursen, Inga, P Briand, & A. E. Lykkesfeldt. (1990). Serum albumin as a modulator on growth of the human breast cancer cell line, MCF-7.. PubMed. 10(2A). 343–51. 93 indexed citations
10.
Lykkesfeldt, A. E., et al.. (1988). Reversible inhibitory activity of sera from breast cancer patients on oestrogen. European Journal of Cancer and Clinical Oncology. 24(10). 1647–1653. 4 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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