M Fernö

582 total citations
27 papers, 474 citations indexed

About

M Fernö is a scholar working on Genetics, Cancer Research and Oncology. According to data from OpenAlex, M Fernö has authored 27 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 11 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in M Fernö's work include Estrogen and related hormone effects (11 papers), Breast Cancer Treatment Studies (8 papers) and HER2/EGFR in Cancer Research (4 papers). M Fernö is often cited by papers focused on Estrogen and related hormone effects (11 papers), Breast Cancer Treatment Studies (8 papers) and HER2/EGFR in Cancer Research (4 papers). M Fernö collaborates with scholars based in Sweden, Denmark and Germany. M Fernö's co-authors include Håkan Olsson, Bo Baldetorp, Åke Borg, Pär‐Ola Bendahl, D. Killander, Ingrid Idvall, Christina Andersson, J Gustafsson, M L Lydrup and Bengt‐Olof Nilsson and has published in prestigious journals such as Cancer Research, British Journal of Cancer and Annals of Oncology.

In The Last Decade

M Fernö

26 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Fernö Sweden 12 222 210 116 111 84 27 474
Alexandre Bodmer Switzerland 14 259 1.2× 344 1.6× 123 1.1× 177 1.6× 107 1.3× 49 692
Joema Felipe Lima United States 10 214 1.0× 242 1.2× 48 0.4× 264 2.4× 33 0.4× 15 535
B. Utracka-Hutka Poland 9 145 0.7× 209 1.0× 126 1.1× 310 2.8× 79 0.9× 18 527
Sandeep Kumar Parvathareddy Saudi Arabia 15 139 0.6× 213 1.0× 95 0.8× 280 2.5× 125 1.5× 57 626
B. Lisboa Germany 12 376 1.7× 474 2.3× 207 1.8× 203 1.8× 54 0.6× 23 788
Wioletta Pękala Poland 11 230 1.0× 192 0.9× 164 1.4× 505 4.5× 95 1.1× 15 689
Ulla Delle Sweden 12 144 0.6× 102 0.5× 65 0.6× 226 2.0× 43 0.5× 31 458
Kousuke Yoshinaga Japan 12 127 0.6× 101 0.5× 39 0.3× 352 3.2× 103 1.2× 19 489
Helena Zientek Poland 11 218 1.0× 190 0.9× 212 1.8× 518 4.7× 105 1.3× 15 690
H Goulding United Kingdom 5 133 0.6× 194 0.9× 68 0.6× 185 1.7× 44 0.5× 7 429

Countries citing papers authored by M Fernö

Since Specialization
Citations

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

Fields of papers citing papers by M Fernö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Fernö

This figure shows the co-authorship network connecting the top 25 collaborators of M Fernö. A scholar is included among the top collaborators of M Fernö 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 M Fernö. M Fernö 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.
Fernö, M, et al.. (2016). St Gallen molecular subtypes in screening-detected and symptomatic breast cancer in a prospective cohort with long-term follow-up. British journal of surgery. 103(5). 513–523. 26 indexed citations
2.
Sjödahl, Gottfrid, Martin Lauss, Gunilla Chebil, et al.. (2014). 790 Infiltration of CD3+ and CD68+ cells in bladder cancer is subtype specific and affects outcome of patients with muscle-invasive tumors. European Urology Supplements. 13(1). e790–e790. 36 indexed citations
3.
Sjöström, Martin, Linda Hartman, Tommy� Fornander, et al.. (2013). Abstract P1-08-12: G protein-coupled estrogen receptor in the plasma membrane is prognostic in early breast cancer. Cancer Research. 73(24_Supplement). P1–8. 1 indexed citations
4.
5.
Alkner, Sara, et al.. (2012). The role of AIB1 and PAX2 in primary breast cancer: validation of AIB1 as a negative prognostic factor. Annals of Oncology. 24(5). 1244–1252. 10 indexed citations
6.
7.
Würtz, Sidse Ørnbjerg, Marie Klintman, M Fernö, et al.. (2009). Validation of the predictive value of tissue inhibitor of metalloproteinases-1 for the response to first-line chemotherapy in metastatic breast cancer.. Cancer Research. 69(2_Supplement). 6057–6057. 1 indexed citations
8.
9.
Idvall, Ingrid, H. Anderson, Anita Ringberg, & M Fernö. (2003). Are cellular polarisation and mitotic frequency prognostic factors for local recurrence in patients with ductal carcinoma in situ of the breast?. European Journal of Cancer. 39(12). 1704–1710. 6 indexed citations
10.
Andersson, Christina, M L Lydrup, M Fernö, et al.. (2001). Immunocytochemical demonstration of oestrogen receptor beta in blood vessels of the female rat. Journal of Endocrinology. 169(2). 241–247. 70 indexed citations
11.
Rudolph, Pierre, Per Alm, Håkan Olsson, et al.. (2001). Concurrent overexpression of p53 and c-erbB-2 correlates with accelerated cycling and concomitant poor prognosis in node-negative breast cancer. Human Pathology. 32(3). 311–319. 37 indexed citations
12.
Fernö, M. (1998). Prognostic factors in breast cancer: a brief review.. PubMed. 18(3C). 2167–71. 26 indexed citations
13.
Bergqvist, Agneta, M Fernö, & Lambert Skoog. (1997). Quantitative enzyme immunoassay and semiquantitative immunohistochemistry of oestrogen and progesterone receptors in endometriotic tissue and endometrium.. Journal of Clinical Pathology. 50(6). 496–500. 15 indexed citations
14.
Fernö, M, Pär‐Ola Bendahl, Åke Borg, et al.. (1996). Urokinase plasminogen activator, a strong independent prognostic factor in breast cancer, analysed in steroid receptor cytosols with a luminometric immunoassay. European Journal of Cancer. 32(5). 793–801. 50 indexed citations
15.
Bendahl, Pär‐Ola, M Fernö, Kalle Alanen, et al.. (1995). Reproducibility in DNA flow cytometric analysis of breast cancer: Comparison of 12 laboratories' results for 67 sample homogenates. Cytometry. 22(2). 115–127. 43 indexed citations
16.
Olsson, Håkan, Åke Borg, M Fernö, T. Möller, & Jonas Ranstam. (1991). Early oral contraceptive use and premenopausal breast cancer--a review of studies performed in southern Sweden.. PubMed. 15(4). 265–71. 5 indexed citations
17.
Sigurðsson, Helgi, Bo Baldetorp, Åke Borg, et al.. (1990). Flow cytometry in primary breast cancer: improving the prognostic value of the fraction of cells in the S-phase by optimal categorisation of cut-off levels. British Journal of Cancer. 62(5). 786–790. 53 indexed citations
18.
Fernö, M, Bo Baldetorp, & Måns Åkerman. (1990). Flow cytometric DNA ploidy analysis of soft tissue sarcomas. A comparative study of preoperative fine needle aspirates and postoperative fresh tissues and archival material.. PubMed. 12(4). 251–8. 11 indexed citations
19.
Norgren, A., M Fernö, & Alexander Borg. (1986). Observations on wet weight, protein and DNA as reference for steroid receptors in malignant mammary tumours.. PubMed. 6(1). 59–64. 7 indexed citations
20.
Fernö, M & Åke Borg. (1985). Antiestrogen binding sites in human breast cancer biopsies. Measurement ligand-specificity and affinity, and correlation to estrogen and progesterone receptors.. PubMed. 5(3). 307–12. 7 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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