Lena Ekström

3.1k total citations
101 papers, 2.4k citations indexed

About

Lena Ekström is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology. According to data from OpenAlex, Lena Ekström has authored 101 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Endocrinology, Diabetes and Metabolism, 32 papers in Molecular Biology and 30 papers in Cell Biology. Recurrent topics in Lena Ekström's work include Hormonal and reproductive studies (59 papers), Muscle metabolism and nutrition (26 papers) and Pharmacogenetics and Drug Metabolism (20 papers). Lena Ekström is often cited by papers focused on Hormonal and reproductive studies (59 papers), Muscle metabolism and nutrition (26 papers) and Pharmacogenetics and Drug Metabolism (20 papers). Lena Ekström collaborates with scholars based in Sweden, Canada and Finland. Lena Ekström's co-authors include Anders Rane, Jenny J. Schulze, Mats Garle, Linda Björkhem‐Bergman, Magnus Ericsson, Nina Gårevik, Mattias Lorentzon, Claes Ohlsson, Jan Andersson and Mikael Lehtihet and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Lena Ekström

98 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lena Ekström Sweden	27	1.2k	771	513	366	308	101	2.4k
D. S. Robinson United Kingdom	31	817 0.7×	584 0.8×	310 0.6×	35 0.1×	67 0.2×	61	3.1k
Erwin Bischoff Germany	24	412 0.3×	826 1.1×	91 0.2×	67 0.2×	125 0.4×	49	2.0k
Geert A. Martens Belgium	29	529 0.4×	1.0k 1.3×	167 0.3×	41 0.1×	31 0.1×	84	3.1k
Michael V. Miles United States	28	386 0.3×	927 1.2×	149 0.3×	28 0.1×	49 0.2×	78	2.3k
Rotonya M. Carr United States	22	470 0.4×	529 0.7×	183 0.4×	14 0.0×	82 0.3×	52	2.0k
Timothy Hardy United Kingdom	16	2.4k 1.9×	1.7k 2.2×	585 1.1×	7 0.0×	107 0.3×	23	7.5k
Anna Rita Bonfigli Italy	32	711 0.6×	926 1.2×	109 0.2×	14 0.0×	52 0.2×	128	3.0k
Jihyun Song South Korea	29	285 0.2×	793 1.0×	154 0.3×	15 0.0×	36 0.1×	68	2.3k
John M. Wentworth Australia	28	1.3k 1.1×	1.1k 1.4×	104 0.2×	9 0.0×	108 0.4×	85	3.3k
Jean‐Louis Paul France	26	364 0.3×	758 1.0×	97 0.2×	32 0.1×	30 0.1×	75	2.1k

Countries citing papers authored by Lena Ekström

Since Specialization

Citations

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

Fields of papers citing papers by Lena Ekström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lena Ekström

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

All Works

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20 of 20 papers shown

Öhman, Inger, et al.. (2025). UGT polymorphisms and epileptic seizure control in pregnant women treated with Lamotrigine. Epilepsy Research. 213. 107554–107554.

Walden, J., et al.. (2025). Detection of Anabolic Androgenic Steroids and Steroid Esters—Comparing Dried Blood Spots Collection Devices and Urine Samples. Drug Testing and Analysis. 17(12). 2374–2383.

Pohanka, Anton, et al.. (2023). Detection of anabolic agents including selective androgen receptor modulators in samples outside of sport. Drug Testing and Analysis. 16(8). 827–834. 6 indexed citations

Ekström, Lena, et al.. (2023). Intra‐individual stability of longitudinal urinary steroid profiles in Swedish athletes. Drug Testing and Analysis. 15(7). 769–778. 2 indexed citations

Piper, Thomas, et al.. (2022). Usefulness of serum androgen isotope ratio mass spectrometry (IRMS) to detect testosterone supplementation in women. Drug Testing and Analysis. 15(4). 465–469. 3 indexed citations

Petrenaite, Vaiva, et al.. (2022). Effect of UGT1A4, UGT2B7, UGT2B15, UGT2B17 and ABC1B polymorphisms on lamotrigine metabolism in Danish patients. Epilepsy Research. 182. 106897–106897. 10 indexed citations

Ekström, Lena, et al.. (2021). Urinary Steroid Profile in Elite Female Athletes in Relation to Serum Androgens and in Comparison With Untrained Controls. Frontiers in Physiology. 12. 702305–702305. 9 indexed citations

Möller, Christian, Veronica Vicente, Anders Rane, et al.. (2020). Male Anabolic Androgenic Steroid Users with Personality Disorders Report More Aggressive Feelings, Suicidal Thoughts, and Criminality. Medicina. 56(6). 265–265. 16 indexed citations

Björkhem‐Bergman, Linda, Mikael Lehtihet, Anders Rane, & Lena Ekström. (2018). Vitamin D receptor rs2228570 polymorphism is associated with LH levels in men exposed to anabolic androgenic steroids. BMC Research Notes. 11(1). 51–51. 4 indexed citations

10.

Berglund, Bo, et al.. (2017). Serum androgen profile and physical performance in women Olympic athletes. British Journal of Sports Medicine. 51(17). 1301–1308. 49 indexed citations

11.

Palonek, Elzbieta, Magnus Ericsson, Nina Gårevik, et al.. (2016). Atypical excretion profile and GC/C/IRMS findings may last for nine months after a single dose of nandrolone decanoate. Steroids. 108. 105–111. 9 indexed citations

12.

Schulze, Jenny J., et al.. (2013). SULT2A1 Gene Copy Number Variation is Associated with Urinary Excretion Rate of Steroid Sulfates. Frontiers in Endocrinology. 4. 88–88. 16 indexed citations

13.

Björkhem‐Bergman, Linda, et al.. (2013). Atorvastatin Treatment Induces Uptake and Efflux Transporters in Human Liver. Drug Metabolism and Disposition. 41(9). 1610–1615. 13 indexed citations

14.

Gårevik, Nina, et al.. (2012). Single dose testosterone increases total cholesterol levels and induces the expression of HMG CoA Reductase. Substance Abuse Treatment Prevention and Policy. 7(1). 12–12. 25 indexed citations

15.

Ekström, Lena, Maria H. Johansson, & Anders Rane. (2012). Tissue Distribution and Relative Gene Expression of UDP-Glucuronosyltransferases (2B7, 2B15, 2B17) in the Human Fetus. Drug Metabolism and Disposition. 41(2). 291–295. 22 indexed citations

16.

Rane, Anders & Lena Ekström. (2012). Androgens and doping tests: genetic variation and pit‐falls. British Journal of Clinical Pharmacology. 74(1). 3–15. 27 indexed citations

17.

Finel, Moshe, et al.. (2009). Non-steroidal anti-inflammatory drugs interact with testosterone glucuronidation. Steroids. 74(12). 971–977. 34 indexed citations

18.

Schulze, Jenny J., et al.. (2008). Doping Test Results Dependent on Genotype of Uridine Diphospho-Glucuronosyl Transferase 2B17, the Major Enzyme for Testosterone Glucuronidation. The Journal of Clinical Endocrinology & Metabolism. 93(7). 2500–2506. 151 indexed citations

19.

Olsson, Mats J., Sara Lindström, Hans‐Olov Adami, et al.. (2008). The UGT2B17 gene deletion is not associated with prostate cancer risk. The Prostate. 68(5). 571–575. 37 indexed citations

20.

Ohyama, Yoshihiko, Steve Meaney, Maura Heverin, et al.. (2005). Studies on the Transcriptional Regulation of Cholesterol 24-Hydroxylase (CYP46A1). Journal of Biological Chemistry. 281(7). 3810–3820. 116 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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