A. E. Lykkesfeldt

504 citations
10 papers · 415 indexed · h-index 7
Topics
Estrogen and related hormone effects (8 papers)Growth Hormone and Insulin-like Growth Factors (3 papers)Protein Kinase Regulation and GTPase Signaling (1 paper)
Partner nations
DenmarkUnited Kingdom

In The Last Decade

A. E. Lykkesfeldt

10 papers receiving 399 citations

Peers

A. E. Lykkesfeldt
Comparison fields: 5 of 63
  • Genetics 228
  • Molecular Biology 209
  • Oncology 186
  • Cancer Research 76
  • Endocrinology, Diabetes and Metabolism 70
Replace P Briand with:
P Briand Denmark
Shi-Ting Jiang China
V. Craig Jordan United States
Helen R. Kim United States
Edward Ruby United States
Benjamin P. Haynes United Kingdom
Anne L. Donato United States
V C Jordan United States
Lisa Borges-Marcucci Canada
C.G. Castles United States
A. E. Lykkesfeldt relative to P Briand Denmark P Briand's profile →
Citations per field
00.5×1.5×2.2×
P Briand · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 10
3 5
4 23
5 34
6 35
7
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.
139
8 71
9
Serum albumin as a modulator on growth of the human breast cancer cell line, MCF-7.
93
10 4

About A. E. Lykkesfeldt

A. E. Lykkesfeldt is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 10 papers that have together received 415 indexed citations. Recurring topics across this 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). The work is most often cited by research in Genetics (228 citations), Oncology (186 citations) and Cancer Research (76 citations). A. E. Lykkesfeldt has collaborated with scholars based in Denmark and United Kingdom. Frequent co-authors include P Briand, Mogens Winkel Madsen, Inga Laursen, Alan E. Wakeling, Lynda R. Wiseman, Felicity E. B. May, Michael D. Johnson, Bruce R. Westley, Jan Skouv and S. S. Larsen. Their work appears in journals such as International Journal of Cancer, European Journal of Cancer and Breast Cancer Research and Treatment.

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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