Lena Sahlin

4.3k total citations
112 papers, 3.5k citations indexed

About

Lena Sahlin is a scholar working on Genetics, Reproductive Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Lena Sahlin has authored 112 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Genetics, 36 papers in Reproductive Medicine and 26 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Lena Sahlin's work include Estrogen and related hormone effects (56 papers), Reproductive System and Pregnancy (22 papers) and Endometriosis Research and Treatment (19 papers). Lena Sahlin is often cited by papers focused on Estrogen and related hormone effects (56 papers), Reproductive System and Pregnancy (22 papers) and Endometriosis Research and Treatment (19 papers). Lena Sahlin collaborates with scholars based in Sweden, United States and Uruguay. Lena Sahlin's co-authors include Håkan Eriksson, Britt Masironi, Denis Stygar, Gunvor Ekman‐Ordeberg, Gunnar Norstedt, Ylva Vladic Stjernholm, Annika Elmqvist Stenberg, Hong Wang, Nathalie Roos and Olof Stephansson and has published in prestigious journals such as Hepatology, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

Lena Sahlin

111 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lena Sahlin Sweden 31 1.0k 780 734 714 575 112 3.5k
Ch.V. Rao United States 37 1.0k 1.0× 1.6k 2.1× 1.2k 1.6× 977 1.4× 667 1.2× 134 4.3k
CheMyong Ko United States 32 881 0.8× 1.3k 1.6× 1.1k 1.4× 659 0.9× 390 0.7× 91 3.5k
Zhenmin Lei United States 43 1.2k 1.2× 2.2k 2.8× 1.5k 2.0× 1.3k 1.9× 900 1.6× 137 5.3k
Eugene D. Albrecht United States 35 1.1k 1.0× 779 1.0× 773 1.1× 1.3k 1.8× 977 1.7× 181 4.8k
Ruijin Shao Sweden 40 484 0.5× 1.5k 1.9× 1.2k 1.6× 941 1.3× 314 0.5× 102 4.3k
Gerald J. Pepe United States 36 1.2k 1.1× 897 1.1× 881 1.2× 1.4k 2.0× 1.1k 1.9× 189 5.4k
Stuart Handwerger United States 42 973 0.9× 944 1.2× 607 0.8× 1.5k 2.2× 1.5k 2.5× 168 5.3k
Kathleen M. Caron United States 39 693 0.7× 537 0.7× 382 0.5× 1.1k 1.5× 723 1.3× 114 5.4k
Geula Gibori United States 44 1.7k 1.6× 1.4k 1.8× 1.1k 1.5× 1.9k 2.6× 1.4k 2.5× 128 5.4k
Chandra Yallampalli United States 39 351 0.3× 387 0.5× 501 0.7× 617 0.9× 807 1.4× 170 4.8k

Countries citing papers authored by Lena Sahlin

Since Specialization
Citations

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

Fields of papers citing papers by Lena Sahlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lena Sahlin

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

All Works

20 of 20 papers shown
1.
Wagner, Isabel Viola, et al.. (2018). Adipose Tissue is a Potential Source of Hyperandrogenism in Obese Female Rats. Obesity. 26(7). 1161–1167. 11 indexed citations
2.
Zhang, Hua, et al.. (2016). Expression of Estrogen Receptors in Relation to Hormone Levels and the Nottingham Prognostic Index.. PubMed. 36(6). 2839–47. 9 indexed citations
3.
Blesson, Chellakkan S., Nathalie Roos, Olof Stephansson, et al.. (2013). Expression and localization of prostaglandin receptors and stromal factors in human cervix—Variations in pregnant and non-pregnant states. 3(4). 147–157. 4 indexed citations
4.
Sahlin, Lena, et al.. (2013). No direct nuclear effect of progesterone in the inner ear: other possible pathways. Acta Oto-Laryngologica. 133(12). 1250–1257. 10 indexed citations
5.
6.
Sahlin, Lena, et al.. (2009). Gene expression analysis of human endometrial endothelial cells exposed to Bisphenol A. Reproductive Toxicology. 28(1). 18–25. 30 indexed citations
7.
Ma, Li, Lena Sahlin, Caj Haglund, et al.. (2008). Expression of the androgen receptor and syndecan-1 in breast tissue during different hormonal treatments in cynomolgus monkeys. Climacteric. 12(1). 72–79. 6 indexed citations
8.
Johannesson, Ulrika, Lena Sahlin, Britt Masironi, et al.. (2008). Steroid receptor expression and morphology in provoked vestibulodynia. American Journal of Obstetrics and Gynecology. 198(3). 311.e1–311.e6. 26 indexed citations
9.
Sahlin, Lena, et al.. (2006). Tissue- and hormone- dependent progesterone receptor distribution in the rat uterus. Reproductive Biology and Endocrinology. 4(1). 47–47. 32 indexed citations
10.
11.
Stygar, Denis, Pär Westlund, Håkan Eriksson, & Lena Sahlin. (2005). Identification of wild type and variants of oestrogen receptors in polymorphonuclear and mononuclear leucocytes. Clinical Endocrinology. 64(1). 74–81. 46 indexed citations
12.
Kindblom, Jon, Karin Dillner, Lena Sahlin, et al.. (2003). Prostate Hyperplasia in a Transgenic Mouse with Prostate-Specific Expression of Prolactin. Endocrinology. 144(6). 2269–2278. 92 indexed citations
13.
Stenberg, Annika Elmqvist, et al.. (2003). Effect of estrogen and antiestrogens on the estrogen receptor content in the cochlea of ovariectomized rats. Hearing Research. 182(1-2). 19–23. 25 indexed citations
14.
15.
Sahlin, Lena, Hong Wang, Britt Masironi, Arne Holmgren, & Håkan Eriksson. (1999). Regulation of thioredoxin mRNA in the rat uterus by gonadal steroids. The Journal of Steroid Biochemistry and Molecular Biology. 68(5-6). 203–209. 14 indexed citations
16.
Sahlin, Lena, Ylva Vladic Stjernholm, Gunvor Ekman, et al.. (1999). Expression of mRNAs for the Estrogen and Progesterone Receptors, Insulin-like Growth Factor-I and Thioredoxin in the Porcine Cervix.. Journal of Reproduction and Development. 45(2). 143–150. 1 indexed citations
17.
Hällström, Inger Porsch, D. Joshua Liao, Lena Sahlin, et al.. (1996). Role of the Pituitary in Tumor Promotion With Ethinyl Estradiol in Rat Liver. Hepatology. 24(4). 849–854. 8 indexed citations
18.
Sahlin, Lena. (1995). Dexamethasone attenuates the estradiol-induced increase of IGF-I mRNA in the rat uterus. The Journal of Steroid Biochemistry and Molecular Biology. 55(1). 9–15. 48 indexed citations
19.
Freyschuss, Bo, Anneli Stavreus‐Evers, Lena Sahlin, & Håkan Eriksson. (1993). Induction of the estrogen receptor by growth hormone and glucocorticoid substitution in primary cultures of rat hepatocytes.. Endocrinology. 133(4). 1548–1554. 27 indexed citations
20.
Sahlin, Lena, et al.. (1990). Regulation of the Uterine Expression of Messenger Ribonucleic Acids Encoding the Oestrogen Receptor and IGF–I Peptides in the Pig Uterus. Journal of Veterinary Medicine Series A. 37(1-10). 795–800. 16 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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