Agneta Jansson

1.7k total citations
39 papers, 1.3k citations indexed

About

Agneta Jansson is a scholar working on Oncology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Agneta Jansson has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 15 papers in Genetics and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Agneta Jansson's work include Estrogen and related hormone effects (14 papers), Hormonal Regulation and Hypertension (8 papers) and Genetic factors in colorectal cancer (6 papers). Agneta Jansson is often cited by papers focused on Estrogen and related hormone effects (14 papers), Hormonal Regulation and Hypertension (8 papers) and Genetic factors in colorectal cancer (6 papers). Agneta Jansson collaborates with scholars based in Sweden, Italy and Germany. Agneta Jansson's co-authors include Olle Stål, Lars Rymo, Xiao‐Feng Sun, Anne Ricksten, Bo Nordenskjöld, Cecilia Gunnarsson, Robin Fåhræus, Tommy� Fornander, Maria G. Masucci and Gunnar Arbman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Agneta Jansson

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agneta Jansson Sweden 23 642 371 292 268 176 39 1.3k
M. Kay Washington United States 20 556 0.9× 738 2.0× 232 0.8× 224 0.8× 284 1.6× 34 1.6k
Erika M. Kwon United States 25 269 0.4× 729 2.0× 316 1.1× 522 1.9× 388 2.2× 48 1.9k
Edward J. Keenan United States 23 869 1.4× 690 1.9× 105 0.4× 355 1.3× 131 0.7× 46 2.0k
Jacek Bartkowiak Poland 21 294 0.5× 461 1.2× 201 0.7× 91 0.3× 200 1.1× 78 1.3k
Roble Bedolla United States 21 574 0.9× 1.1k 3.0× 175 0.6× 126 0.5× 360 2.0× 36 1.8k
Louis P. Pertschuk United States 24 487 0.8× 415 1.1× 186 0.6× 506 1.9× 303 1.7× 54 1.5k
Andrzej Semczuk Poland 24 485 0.8× 743 2.0× 178 0.6× 278 1.0× 280 1.6× 128 1.8k
Angelica A. Saetta Greece 25 472 0.7× 826 2.2× 260 0.9× 264 1.0× 346 2.0× 79 1.7k
Kai Xue China 23 333 0.5× 872 2.4× 180 0.6× 181 0.7× 436 2.5× 104 1.7k
Tatsuro Furui Japan 23 323 0.5× 986 2.7× 86 0.3× 229 0.9× 156 0.9× 110 2.1k

Countries citing papers authored by Agneta Jansson

Since Specialization
Citations

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

Fields of papers citing papers by Agneta Jansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agneta Jansson

This figure shows the co-authorship network connecting the top 25 collaborators of Agneta Jansson. A scholar is included among the top collaborators of Agneta Jansson 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 Agneta Jansson. Agneta Jansson 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.
Fornander, Tommy�, et al.. (2016). Androgen receptor expression predicts beneficial tamoxifen response in oestrogen receptor-α-negative breast cancer. British Journal of Cancer. 114(3). 248–255. 46 indexed citations
2.
Fornander, Tommy�, et al.. (2014). C–X–C ligand 10 and C–X–C receptor 3 status can predict tamoxifen treatment response in breast cancer patients. Breast Cancer Research and Treatment. 145(1). 73–82. 14 indexed citations
3.
Jerhammar, Fredrik, Ann‐Charlotte Johansson, Rebecca Ceder, et al.. (2014). YAP1 is a potential biomarker for cetuximab resistance in head and neck cancer. Oral Oncology. 50(9). 832–839. 43 indexed citations
4.
Gunnarsson, Cecilia, Tommy� Fornander, Bo Nordenskjöld, et al.. (2012). 17β-Hydroxysteroid Dehydrogenase Type 14 Is a Predictive Marker for Tamoxifen Response in Oestrogen Receptor Positive Breast Cancer. PLoS ONE. 7(7). e40568–e40568. 14 indexed citations
5.
Jansson, Agneta, et al.. (2012). Progesterone and levonorgestrel regulate expression of 17βHSD-enzymes in progesterone receptor positive breast cancer cell line T47D. Biochemical and Biophysical Research Communications. 422(1). 109–113. 4 indexed citations
6.
Vikingsson, Svante, et al.. (2012). Expression Patterns of 17β-Hydroxysteroid Dehydrogenase 14 in Human Tissues. Hormone and Metabolic Research. 44(13). 949–956. 20 indexed citations
7.
Vikingsson, Svante, et al.. (2010). A validated and rapid high-performance liquid chromatography method for the quantification of conversion of radio-labelled sex steroids. Hormone Molecular Biology and Clinical Investigation. 3(1). 375–381. 1 indexed citations
8.
Jerevall, Piiha-Lotta, Agneta Jansson, Tommy� Fornander, et al.. (2010). Predictive relevance of HOXB13 protein expression for tamoxifen benefit in breast cancer. Breast Cancer Research. 12(4). R53–R53. 25 indexed citations
9.
Jansson, Agneta. (2009). 17Beta-hydroxysteroid dehydrogenase enzymes and breast cancer. The Journal of Steroid Biochemistry and Molecular Biology. 114(1-2). 64–67. 41 indexed citations
10.
Larsson, Lena, Pegah Johansson, Agneta Jansson, et al.. (2008). The Sp1 transcription factor binds to the G-allele of the –1087 IL-10 gene polymorphism and enhances transcriptional activation. Genes and Immunity. 10(3). 280–284. 18 indexed citations
11.
Gunnarsson, Cecilia, Piiha-Lotta Jerevall, Karl Hammar, et al.. (2007). Amplification of HSD17B1 has prognostic significance in postmenopausal breast cancer. Breast Cancer Research and Treatment. 108(1). 35–41. 30 indexed citations
12.
Jansson, Agneta, Jonas Carlsson, Petter Storm, et al.. (2007). A new polymorphism in the coding region of exon four in HSD17B2 in relation to risk of sporadic and hereditary breast cancer. Breast Cancer Research and Treatment. 106(1). 57–64. 11 indexed citations
13.
14.
Jansson, Agneta, et al.. (2003). Noxa in colorectal cancer: a study on DNA, mRNA and protein expression. Oncogene. 22(30). 4675–4678. 29 indexed citations
15.
Adell, Gunnar, Hong Zhang, Agneta Jansson, et al.. (2001). Decreased tumor cell proliferation as an indicator of the effect of preoperative radiotherapy of rectal cancer. International Journal of Radiation Oncology*Biology*Physics. 50(3). 659–663. 33 indexed citations
16.
Blennow, Kaj, Anne Ricksten, Jonathan A. Prince, et al.. (2000). No association between the α2-macroglobulin (A2M) deletion and Alzheimer's disease, and no change in A2M mRNA, protein, or protein expression. Journal of Neural Transmission. 107(8-9). 1065–1079. 90 indexed citations
17.
Jansson, Agneta & Xiao‐Feng Sun. (1997). Ki‐67 expression in relation to clinicopathological variables and prognosis in colorectal adenocarcinomas. Apmis. 105(7-12). 730–734. 49 indexed citations
18.
Zhang, Hong, et al.. (1997). Heat shock protein 72/73 in relation to cytoplasmic p53 expression and prognosis in colorectal adenocarcinomas. International Journal of Cancer. 74(6). 600–604. 26 indexed citations
19.
20.
Westin, Thomas, et al.. (1988). Mental Depression Is Associated With Malnutrition in Patients With Head and Neck Cancer. Archives of Otolaryngology - Head and Neck Surgery. 114(12). 1449–1453. 63 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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