Håkan Eriksson

6.2k total citations
173 papers, 5.0k citations indexed

About

Håkan Eriksson is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Håkan Eriksson has authored 173 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Genetics, 48 papers in Molecular Biology and 47 papers in Immunology. Recurrent topics in Håkan Eriksson's work include Estrogen and related hormone effects (55 papers), Reproductive System and Pregnancy (19 papers) and Hormonal Regulation and Hypertension (13 papers). Håkan Eriksson is often cited by papers focused on Estrogen and related hormone effects (55 papers), Reproductive System and Pregnancy (19 papers) and Hormonal Regulation and Hypertension (13 papers). Håkan Eriksson collaborates with scholars based in Sweden, United States and United Kingdom. Håkan Eriksson's co-authors include Lena Sahlin, Jan-Ακε Gustafsson, Jan Sjövall, James H. Clark, Susan Upchurch, James W. Hardin, Britt Masironi, Edith Heilbronn, L.-O. Drevius and Gunnar Norstedt and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Biochemical Journal.

In The Last Decade

Håkan Eriksson

169 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Håkan Eriksson Sweden 41 1.4k 1.3k 1.1k 767 568 173 5.0k
Jing Dong China 43 1.7k 1.2× 2.5k 2.0× 1.3k 1.2× 489 0.6× 478 0.8× 188 6.5k
Takahiro Μatsumoto Japan 32 1.2k 0.9× 2.6k 2.0× 403 0.4× 790 1.0× 572 1.0× 143 5.5k
Förtüne Kohen Israel 34 860 0.6× 1.3k 1.0× 416 0.4× 642 0.8× 342 0.6× 147 3.7k
Robert C. Tuckey Australia 52 1.7k 1.2× 1.4k 1.1× 1.1k 1.0× 1.8k 2.4× 171 0.3× 161 8.6k
Joseph L. Napoli United States 59 2.1k 1.6× 7.0k 5.6× 995 0.9× 869 1.1× 243 0.4× 197 10.6k
Takashi Sato Japan 40 981 0.7× 3.3k 2.6× 693 0.6× 1.1k 1.5× 345 0.6× 183 7.5k
Bruno Silvestrini Italy 40 449 0.3× 2.0k 1.6× 255 0.2× 430 0.6× 1.8k 3.1× 234 5.2k
Ali Pedram United States 48 4.0k 2.9× 3.8k 3.0× 767 0.7× 1.6k 2.1× 824 1.5× 78 9.2k
Jean‐Pierre Raynaud France 46 2.1k 1.5× 1.8k 1.4× 322 0.3× 2.3k 3.0× 1.1k 1.8× 165 6.5k
Hiroshi Yamada Japan 38 555 0.4× 2.0k 1.6× 723 0.6× 621 0.8× 73 0.1× 229 5.6k

Countries citing papers authored by Håkan Eriksson

Since Specialization
Citations

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

Fields of papers citing papers by Håkan Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Håkan Eriksson

This figure shows the co-authorship network connecting the top 25 collaborators of Håkan Eriksson. A scholar is included among the top collaborators of Håkan Eriksson 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 Håkan Eriksson. Håkan Eriksson 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
2.
Timpka, Toomas, Håkan Eriksson, Einar Holm, et al.. (2016). Relevance of workplace social mixing during influenza pandemics: an experimental modelling study of workplace cultures. Epidemiology and Infection. 144(10). 2031–2042. 9 indexed citations
4.
Andersson, Linda, et al.. (2008). Receptor-mediated endocytosis of particles by peripheral dendritic cells. Human Immunology. 69(10). 625–633. 15 indexed citations
5.
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
6.
Stygar, Denis, et al.. (2003). Effects of SERM (selective estrogen receptor modulator) treatment on growth and proliferation in the rat uterus. Reproductive Biology and Endocrinology. 1(1). 40–40. 57 indexed citations
7.
Sahlin, Lena, W. Elger, Britt Masironi, et al.. (2000). Effects of estradiol and estradiol sulfamate on the uterus of ovariectomized or ovariectomized and hypophysectomized rats. The Journal of Steroid Biochemistry and Molecular Biology. 74(3). 99–107. 12 indexed citations
8.
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
9.
Landgren, Britt-Marie, et al.. (1996). A new method to study the process of implantation of a human blastocyst in vitro. Fertility and Sterility. 65(5). 1067–1070. 24 indexed citations
10.
Eriksson, Håkan, et al.. (1994). Expression of a neutral horseradish peroxidase in Escherichia coli. Journal of Biotechnology. 37(2). 133–142. 7 indexed citations
11.
Sahlin, Lena, Gunnar Norstedt, & Håkan Eriksson. (1994). Estrogen regulation of the estrogen receptor and insulinlike growth factor-I in the rat uterus: a potential coupling between effects of estrogen and IGF-I. Steroids. 59(7). 421–430. 80 indexed citations
12.
Eriksson, Håkan & Mogens Holst Nissen. (1992). Complement component C1r mediated cleavage of the heavy chain of the major histocompatibility class I antigens. Biochemical and Biophysical Research Communications. 187(2). 832–838. 5 indexed citations
13.
Rodríguez‐Martínez, Heriberto, et al.. (1991). Concentrations of Nuclear Progesterone Receptors in Endometrium of Virgin and Repeat Breeder Heifers after Embryo Transfer. Journal of Veterinary Medicine Series A. 38(1-10). 271–280. 7 indexed citations
14.
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
15.
Eriksson, Håkan, et al.. (1990). Variations in Oestradiol and Progesterone Receptor Levels in the Porcine Myometrium and Cervix During Pregnancy and Parturition. Journal of Veterinary Medicine Series A. 37(1-10). 329–338. 11 indexed citations
16.
Eriksson, Håkan, et al.. (1990). Progesterone and Oestradiol‐17β Receptors in the Porcine Myometrium During the Oestrous Cycle. Journal of Veterinary Medicine Series A. 37(1-10). 321–328. 13 indexed citations
17.
Tetsuo, M., Håkan Eriksson, Tomas Cronholm, D. J. COLLINS, & Jan Sjövall. (1989). Concentration and turnover of estradiol in the rat uterus in vivo. Journal of Steroid Biochemistry. 33(3). 371–378. 3 indexed citations
18.
Eriksson, Håkan, et al.. (1983). Steroid hormone receptors : structure and function. Elsevier eBooks. 169 indexed citations
19.
Bergman, F., et al.. (1981). Gallstone formation in guinea pigs under different dietary conditions. Effect of vitamin C on bile acid pattern.. PubMed. 59(2). 92–8. 14 indexed citations
20.
Möller, E, et al.. (1978). B-cell activation of peripheral blood lymphocytes from patients with chronic lymphatic leukaemia.. PubMed Central. 33(2). 302–8. 59 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026